# FewerJobs export - 100 curated jobs
Generated: 2026-06-13T20:52:57.061Z
Source: https://fewerjobs.com

## Filters applied
- **q**: Lila Sciences
- **quality_floor**: default
- **match_401k_strict**: true
- **parental_strict**: true
- **non_birth_strict**: true
- **pto_strict**: true
- **include_older**: false
- **apply_url_verified**: false
- **page**: 1
- **per_page**: 100
- **sort**: relevance

## Jobs
### Co-op, Protein Sciences - Lila Sciences
- Location: Cambridge, MA USA (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-27
- Apply: https://job-boards.greenhouse.io/lilasciences/jobs/4257050009
- Excerpt: Co-op, Protein Sciences Cambridge, MA USA Your Impact at LILA Lila Sciences is seeking a dedicated Cell Free Co-op for Protein Sciences to join our team. The focus of this role will be cell culture and cell lysis to generate materials for protein expression. You will continue maintenance and optimization of the cell free platform here at Lila. What You'll Be Building - Perform cell culture and lysis of various cell lines - Generate quality control data via plate-based assays - Prepare media and solutions for cell culture and processing - Track and maintain excellent data records in formats amenable to computational workflows - Analyze and interpret experimental data, prepare technical reports, and present findings to internal teams and stakeholders What You'll Need to Succeed - Working on a degree in biochemistry, molecular biology, biotechnology, biological engineering, chemical engineering, or a related field. - 1+ years of laboratory experience - Experience with cell culture techniques, including growth, maintenance, and transformation - Excellent attention to detail, organization, and communication Bonus Points For - An enthusiasm for and openness to using AI in laboratory settings is highly valued - Familiarity with plate-based assays is a plus - Familiarity with Python programming for data analysis and automation is a plus About LILA Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves. LILA combines advanced AI models

### Vice President, Engineering - Lila Sciences
- Location: Cambridge, MA USA (unspecified)
- Salary: $310K-$380K
- Posted: 2026-04-25
- Apply: https://job-boards.greenhouse.io/lilasciences/jobs/4232839009
- Excerpt: Vice President, Engineering Cambridge, MA USA Your Impact at LILA As Lila scales its AI Science Factories globally, the VP of Engineering will create and sustain an engineering model for a unified, scalable platform for autonomous experimentation. This role will be responsible for defining and implementing that platform across hardware, automation, and systems engineering. This executive will own strategy, execution, and talent across Lila's systems, hardware, and automation engineering. The role sits on the senior leadership team, reports directly to the Chief Autonomous Science Officer, and interfaces directly with Robotics, Software, Operations, and Science teams. The VP Engineering will bring deep technical experience in automation of lab science, a track record of building and leading multi-disciplinary engineering organizations, mentorship practices that foster career development of engineers at all levels, and the judgment to balance near-term delivery with long-term platform development. This is a hands-on leadership role in a fast-moving environment, requiring brilliance and dynamism to realize autonomous experimentation across materials science, chemistry, and life science. The role requires engineering innovations to achieve an unprecedented depth of AI integration in lab science, which combined with aggressive scaling of Lila's AI Science Factories (AISFs) will produce the highest degree of scientific intelligence on earth. What You'll Be Building - Set the engineering roadmap for ASP Engineering, including objectives, risks, and platform priorities via collaboration with the Robotics, Software, Science, and Product teams. - Define and drive a unified platform architecture across hardware, automation, and systems engineering, reducing one-off designs and enabling repeatable

### Principal, Machine Learning Engineer - Lila Sciences
- Location: San Francisco, CA USA (unspecified)
- Salary: $252K-$374K
- Posted: 2026-04-28
- Apply: https://job-boards.greenhouse.io/lilasciences/jobs/4222224009
- Excerpt: Principal, Machine Learning Engineer San Francisco, CA USA Your Impact at LILA Lila is building a platform where AI and automation co-evolve to solve the hardest problems in medicine. Within Life Science AI (LSAI), ML engineers build and operate the systems that turn generative models and reasoning frameworks into production capabilities powering automated scientific discovery across Lila's life science domains. We are seeking a Principal ML Engineer to design, build, and scale the ML infrastructure behind models spanning biological sequence design, molecular structure prediction, antibody engineering, and multimodal scientific reasoning. You will own critical systems end to end, from training pipelines and distributed compute to model deployment and integration into Lila's closed-loop discovery engine. This is a high-impact IC role for someone who operates at the intersection of ML systems engineering and life science applications. You will shape the technical direction for how ML models are trained, evaluated, and deployed at scale, collaborate closely with AI scientists and experimental researchers to close the computational-experimental loop, and drive Lila's ML infrastructure toward the next generation of capabilities. What You'll Be Building - Design, build, and optimize large-scale training pipelines for generative models on biological and chemical data, including distributed training across GPU clusters - Own production ML systems end to end: model deployment, serving infrastructure, monitoring, and reliability for models used in Lila's scientific workflows - Architect ML infrastructure that supports rapid iteration across sequence design, structure prediction, and multimodal scientific reasoning workloads - Drive the engineering side of Lila's "Lab-in-the-Loop"

### Life Sciences Technical Program Manager - Lila Sciences
- Location: Cambridge, MA USA (unspecified)
- Salary: $128K-$172K
- Posted: 2026-04-07
- Apply: https://job-boards.greenhouse.io/lilasciences/jobs/4204248009
- Excerpt: Life Sciences Technical Program Manager Cambridge, MA USA Your Impact at LILA Lila Sciences is applying its autonomous science platform to some of the most complex challenges in biology and medicine - from protein therapeutics and nucleic acid design to antibody discovery and cell therapies. The Life Sciences experiment team is running programs where the pace of autonomous experimentation demands real operational rigor, and we're looking for a Technical Program Manager to provide it. You'll work closely with the Life Sciences domain lead who sets scientific strategy and direction, while you own the execution layer: the project plans, the cross-functional dependencies, and the blockers that need to be surfaced and resolved before they become problems. You won't be directing scientific work - you'll be creating the conditions for it to happen at speed and at scale. This is a role for someone who genuinely loves the craft of program management in complex, technical environments. What You'll Be Building - Own day-to-day program execution within the Life Sciences experiment team - maintaining project plans, tracking milestones, and ensuring agentic science programs are delivered on time and with rigor - Serve as the primary operational interface between the Life Sciences team and platform partners (Automation, ML, Engineering) communicating needs, aligning on priorities, and keeping dependencies visible and resolved - Translate scientific program goals into structured workstreams that enable autonomous experimentation to run efficiently and at scale - Run program rituals including sprint planning, stand-ups, and retrospectives with a bias toward purposeful meetings,

### Scientist II, Mechanics & Extreme Materials - Lila Sciences
- Location: Cambridge, MA USA (unspecified)
- Salary: $128K-$172K
- Posted: 2026-06-01
- Apply: https://job-boards.greenhouse.io/lilasciences/jobs/4251028009
- Excerpt: Scientist II, Mechanics & Extreme Materials Cambridge, MA USA Your Impact at LILA As a Scientist II, Mechanics & Extreme Materials on the Materials Science team at Lila Sciences, you will be the technical expert driving closed-loop learning for extreme materials. Your domain depth in coatings and metal alloys, durability testing, and microstructural analysis will directly shape the experimental methods and automated workflows that power Lila's autonomous science platform. This role sits at the center of Lila's extreme materials program focused on the predictive design of hard, wear-resistant, and corrosion-resistant coatings for aerospace, defense, and industrial applications. You will define how the platform interrogates the performance of new alloy and coating systems, what data it generates, and how those outputs feed back into the next experimental cycle. You will work alongside experimentalists, systems engineers, and machine learning scientists, providing the mechanical and metallurgical judgement that keeps closed-loop campaigns scientifically rigorous and accelerating toward next-generation coating and extreme material solutions. What You'll Be Building - Work with Program Lead to drive the strategy for closed-loop campaigns on anti-wear and anti-corrosion materials. - Develop, execute and optimize characterization and testing workflows for extreme environment materials, including coatings and bulk materials. Focus areas include: microstructural, mechanical, and tribological analysis for process-structure-property relationships. - Collaborate with experimentalists, systems engineers, and ML scientists to integrate characterization outputs into autonomous closed-loop workflows and ML training datasets. - Lead experimental design and analysis to extract key materials properties and performance parameters for ML training. - Troubleshoot characterization

### Staff ML Engineer, Life Sciences AI - Lila Sciences
- Location: San Francisco, CA USA (unspecified)
- Salary: $163K-$200K
- Posted: 2026-05-07
- Apply: https://job-boards.greenhouse.io/lilasciences/jobs/4239026009
- Excerpt: Staff ML Engineer, Life Sciences AI San Francisco, CA USA Your Impact at LILA Lila is building a platform where AI and automation co-evolve to solve the hardest problems in medicine. Within Life Science AI (LSAI), software engineers build the systems that connect generative models, scientific data, and experimental workflows into reliable, production-grade pipelines powering Lila's protein design and engineering campaigns. We're hiring a Staff ML Engineer, Life Sciences AI to lead software infrastructure development for our protein design and engineering pipelines. This is a senior IC role focused on the engineering systems that surround and support our ML stack - pipeline orchestration, data flow between computational and experimental systems, integration of new tools and methods, and the developer experience that lets LSAI move fast on commercial partnership deliverables. What You'll Be Building - Architect and build software infrastructure powering Lila's protein design and engineering pipelines: orchestration, data flow, APIs, and integration with experimental systems. - Own the engineering side of LSAI's "Lab-in-the-Loop" lifecycle - connecting computational outputs to experimental inputs and feeding results back into design workflows. - Onboard new tools and methods developed by AI scientists and ML engineers into production-ready systems used in commercial partnership campaigns. - Partner cross-functionally with ML researchers, scientists, and platform engineers to translate research code into reliable, scalable systems. - Set engineering standards for LSAI software - design reviews, CI/CD, testing, observability, reproducibility - and mentor senior engineers as the team grows. - Diagnose and resolve reliability, performance, and scaling bottlenecks in

### Staff / Principal Industrial Engineer - Lila Sciences
- Location: Cambridge, MA USA (unspecified)
- Salary: $163K-$228K
- Posted: 2026-01-23
- Apply: https://job-boards.greenhouse.io/lilasciences/jobs/4110355009
- Excerpt: Staff / Principal Industrial Engineer Cambridge, MA USA Your Impact at LILA Lila Sciences is seeking an Industrial Engineer to own and architect the physical layout of our AI Science Factories. In this role, you will be responsible for integrating lab instrumentation and robotics into a cohesive, efficient factory design. You will collaborate closely with hardware engineering, science teams, robotics, facilities, and operations to create layouts that are safe, scalable, and engineered for high-throughput autonomous research. This role is central to translating complex cross-functional requirements into a factory environment that enables Lila's next-generation scientific capabilities. What You'll Be Building - Own the end-to-end factory layout, including spatial planning, adjacency mapping, and utility requirements - Integrate lab instrumentation layouts from diverse scientific and engineering domains into a unified, high-performance factory design. - Collaborate with hardware, robotics, science, automation, safety, and facilities teams to incorporate requirements for utilities, safety, accessibility, maintenance, and environmental controls. - Build and maintain accurate 2D and 3D CAD models of the full factory layout; drive version control and change management for layout updates. - Work with robotic teams to run simulations and scenario analyses to assess throughput, operational efficiency, and bottlenecks. - Partner with construction, facilities, and external vendors to ensure physical buildouts reflect the intended design and can scale with future demand. - Develop standards, documentation, and layout guidelines for new lab instrumentation and factory expansions. What You'll Need to Succeed - BS/MS degree in Industrial Engineering, Mechanical Engineering, Manufacturing Engineering, Systems Engineering, or related field.

### Platform Scientist, Soft Materials - Lila Sciences
- Location: Cambridge, MA USA (unspecified)
- Salary: $108K-$150K
- Posted: 2025-12-23
- Apply: https://job-boards.greenhouse.io/lilasciences/jobs/4088253009
- Excerpt: Platform Scientist, Soft Materials Cambridge, MA USA Your Impact at LILA Lila Sciences is seeking Platform Scientists, Soft Materials Focus to ideate, prototype, and transfer new experimental concepts for AI Science Factories targeting complex and soft material systems. In this role, you will work at the forefront of scientific ideation-partnering with a broad range of chemistry, materials, and AI teams to define new approaches to formulation, structure-property relationships, and performance evaluation. You will translate these concepts into scalable experimental workflows, custom apparatus, and software-enabled systems for autonomous research. What You'll Be Building - Collaborate with diverse scientific teams to ideate new experimental strategies for soft and complex materials, including formulations, colloids, polymers, gels, and biological or hybrid systems - Lead conceptual development of characterization and performance workflows leveraging techniques such as SAXS, SANS, rheology, and formulation performance assays - Design, prototype, and validate custom apparatus, experimental methods, and software tools to realize these concepts - Develop and refine workflows that connect structure, dynamics, and performance across multiple length and time scales - Transfer successful prototypes into production-ready systems within Lila's AI Science Factory platform, enabling autonomous experimentation What You'll Need to Succeed - MS or PhD in Materials Science, Chemistry, Chemical Engineering, Physics, or a related field, with a focus on soft or complex materials - Demonstrated experience collaborating across scientific disciplines to generate and refine experimental concepts - Hands-on experience with one or more of the following: SAXS, SANS, rheology, formulation performance or functional assays - Experience designing and

### Director / Senior Director of New Product Planning,Physical Science - Lila Sciences
- Location: Cambridge, MA USA (unspecified)
- Salary: $168K-$272K
- Posted: 2026-06-10
- Apply: https://job-boards.greenhouse.io/lilasciences/jobs/4276938009
- Excerpt: Director / Senior Director of New Product Planning,Physical Science Cambridge, MA USA Your Impact at LILA Lila Sciences is hiring a Director / Senior Director, New Product Planning of Physical Science to help shape Lila Origins, our company and asset creation arm which partners to translate scientific vision into molecules, materials, and real-world ventures. As a member of a small, highly cross-functional team, this role brings the commercial voice to life. The focus is on assessing where Lila's platform can produce differentiated assets and shaping how those opportunities become ventures, partnerships, or programs. What You'll Be Building - Source and evaluate new physical science opportunities for Origins, screening for scientific differentiation, commercial viability, and fit with Lila's platform capabilities - Track materials science, chemistry, energy systems, and advanced manufacturing trends, including platform breakthroughs, pipeline movement, and deal activity across deep tech and industry, and translate signal into actionable views for Origins - Match materials platforms and chemical or physical process innovations to application areas using technical rationale, competitive landscape, and unmet need, and recommend where Origins should concentrate effort - Build and own market sizing, end-market demand, and deal economic models that inform go / no-go decisions on candidate ventures and partnerships - Develop specifications and early commercial theses for assets under consideration, in partnership with Science, Product, and Corporate Development - Run primary and secondary research including expert interviews, competitor tracking, and customer and supply chain landscape analysis to stress-test assumptions and sharpen recommendations - Shape deal structures and

### Director / Senior Director, Product, Physical Sciences - Lila Sciences
- Location: Cambridge, MA USA (unspecified)
- Salary: $168K-$272K
- Posted: 2026-05-29
- Apply: https://job-boards.greenhouse.io/lilasciences/jobs/4257319009
- Excerpt: Director / Senior Director, Product, Physical Sciences Cambridge, MA USA Your Impact at LILA Lila Sciences is hiring a Director, Product, Physical Sciences: a strategic, cross-functional product leader who shapes the vision, roadmap, and execution for platforms that accelerate scientific discovery and product development. Reporting to the Head of Physical Science Product, you will lead product strategy and delivery across capabilities at the intersection of physical science, simulation and physics-based modeling, lab automation, data and ML, and scientific intelligence. This role requires strong leadership, crisp prioritization, and the ability to translate complex technical and scientific work into clear product direction and measurable outcomes for internal teams, partners, and customers. You will be deeply customer-facing, serving as a trusted technical and product voice with prospects and partners, and shaping proposals, driving commercial conversations, and closing deals that bring Lila's Physical Sciences platform to market. What You'll Be Building - Set the long-term product vision, roadmap, and portfolio priorities for Lila's Physical Sciences portfolio. - Define product strategy and target product profiles (TPPs) for physical-science workflows: materials design, formulation, characterization, reliability, scale-up. - Drive product execution from concept to launch across physical sciences, simulation, automation, data engineering, and ML. - Represent product to executives, scientific leaders, partners, and customers as the senior external voice for the domain. - Own commercial outcomes end-to-end: opportunity shaping, proposal development, deal closure, and revenue for the domain. - Define success metrics and milestones (technical, product, commercial) and report progress clearly to leadership. What You'll Need to

### Staff / Principal Research Engineer, AI Safety, Technical Mitigations - Lila Sciences
- Location: Cambridge, MA USA; London, UK; San Francisco, CA USA (unspecified)
- Salary: $224K-$336K
- Posted: 2026-04-07
- Apply: https://job-boards.greenhouse.io/lilasciences/jobs/4210472009
- Excerpt: Staff / Principal Research Engineer, AI Safety, Technical Mitigations Cambridge, MA USA; London, UK; San Francisco, CA USA Your Impact at LILA We're building a talent-dense, high-agency AI safety team at Lila that will engage all core teams within the organization (science, model training, lab integration, etc.), to prepare for risks from scientific superintelligence. The initial focus of this team will be to build and implement a bespoke safety strategy for Lila, tailored to its specific goals and deployment strategies. This will involve technical safety strategy development, broader ecosystem engagement, safety-focused evaluations, safety systems to mitigate risks, and a safety research agenda that explores longer-term needs such as oversight of superintelligent scientific systems. We're seeking a Technical Mitigations Lead, to lead the build out of safety systems at Lila for the safe deployment of our scientific capabilities to the world. Given the novelty of Lila's workflows, integrating frontier-class language models with narrow scientific tools and lab-based automation, this role will require the design and deployment of technical safeguards beyond the current state-of-the-art. We expect the person in this role to start off the initial mitigations build-out, and then slowly build a team to support this function. What You'll Be Building - Set the build and research strategy for Lila's safety systems, across scientific data analysis and generation pipelines, safety post-training, refusal classifiers, automated safety-testing / red-teaming systems, and monitoring systems. - Conduct initial safeguards experimentation and buildout for Lila's specific scientific needs, and subsequently lead a small team to execute

### Analyst / Senior Analyst, Corporate Strategy - Lila Sciences
- Location: Cambridge, MA USA (unspecified)
- Salary: $126K-$175K
- Posted: 2026-05-11
- Apply: https://job-boards.greenhouse.io/lilasciences/jobs/4244774009
- Excerpt: Analyst / Senior Analyst, Corporate Strategy Cambridge, MA USA Your Impact at LILA The Analyst, Corporate Strategy sits at the center of how Lila Sciences thinks about its future. This is a high-visibility, high-impact individual contributor role within the Strategy and Corporate Development function. The team is small, senior, and fast-moving. You will support the full range of the function's work: corporate strategy development, competitive intelligence, M&A and corporate development, enterprise and strategic planning, and OKR-linked incentive tracking. You will work directly with senior leaders across the company and have regular exposure to board and investor-level materials. This role is well-suited to someone early in their career who is intellectually curious, operates with strong analytical rigor, and is energized by working at the intersection of science, technology, and business strategy. What You'll Be Building - Synthesize market, competitive, and internal data to support strategic decision-making - Build and maintain structured analyses, frameworks, and presentations for senior leadership and board audiences - Track emerging trends in AI, life sciences, and physical sciences relevant to Lila's strategic positioning - Support deal processes including landscape mapping, initial screening, and diligence preparation - Maintain competitive intelligence across key market segments, including company tracking, partnership activity, and technology developments - Build and refresh comp sets and market benchmarks in support of M&A and partnership evaluation - Support the annual strategic planning cycle, including data gathering, cross-functional synthesis, and documentation - Assist in OKR infrastructure: tracking, reporting, and maintaining the linkage between role-level objectives and company-level

### Director / Senior Director, New Product Planning, Life Sciences - Lila Sciences
- Location: Cambridge, MA USA (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-26
- Apply: https://job-boards.greenhouse.io/lilasciences/jobs/4258093009
- Excerpt: Director / Senior Director, New Product Planning, Life Sciences Cambridge, MA USA Your Impact at LILA Lila Sciences is hiring a Director / Senior Director, New Product Planning to help shape Lila Origins, our company and asset creation arm which partners to translate scientific vision into molecules, materials, and real-world ventures. As a member of a small, highly cross-functional team, you will bring the commercial voice to life sciences opportunities at the earliest stages, assessing where Lila's platform can produce differentiated assets and shaping how those opportunities become ventures, partnerships, or programs. You will spend your time at the interface of science, market, and deal structure. You will match therapeutic modalities to disease areas based on biological fit, competitive landscape, and commercial viability. You will build quantitative views of opportunities (market sizing, patient population modeling, deal economics) and translate them into recommendations for Origins and Lila leadership. You will pressure-test ideas with external operators, investors, and partners, and use what you learn to sharpen Lila's Origins thesis. This role suits someone who has run new product planning, asset strategy, or commercial assessment work inside a pharma or biotech organization, lives close to industry trends, and is drawn to a builder environment where the asset list is being defined in real time. You will work closely with the VP, Head of Lila Origins, and sit within Corporate Development. The work is high ambiguity, high leverage, and deliberately cross-disciplinary. What You'll Be Building - Source and evaluate new life sciences opportunities for

### Join Our Talent Community - Lila Sciences
- Location: Cambridge, MA USA; San Francisco, CA USA (unspecified)
- Salary: Not disclosed
- Posted: 2025-12-02
- Apply: https://job-boards.greenhouse.io/lilasciences/jobs/4070054009
- Excerpt: Join Our Talent Community Cambridge, MA USA; San Francisco, CA USA If you don't see a current role that matches your background but want to be considered for future opportunities at Lila, join our talent community here. About LILA Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves. LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai. Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you'd love to work in, even if you don't meet every qualification listed above, we encourage you to apply. We're All In Lila Sciences is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Information you provide during your application process will be handled in accordance with our Candidate Privacy Policy . A Note to Agencies Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited

### Manager / Senior Manager, Product Marketing, Physical Science - Lila Sciences
- Location: Cambridge, MA USA (unspecified)
- Salary: $108K-$187K
- Posted: 2026-02-24
- Apply: https://job-boards.greenhouse.io/lilasciences/jobs/4118224009
- Excerpt: Manager / Senior Manager, Product Marketing, Physical Science Cambridge, MA USA Your Impact at LILA We are seeking a Product Marketing Manager, Physical Sciences to lead go-to-market for Lila's AI-driven materials and chemistry platform. You will operate at the convergence of: - Physical science domains: catalysts, sorbents, coatings, LNPs, quantum and extreme-environment materials - Autonomous experimentation: flow chemistry ecosystems, high-throughput electrocatalysis, advanced characterization workcells - AI & modeling: property prediction, design spaces, Bayesian optimization, LLM-augmented optimization Your mission is to translate this tech stack into clear narratives, compelling launches, and credible evidence that resonate with: - Industrial R&D and technology leaders in energy, chemicals, and manufacturing - Sustainability and advanced materials teams - Strategic partners, national labs, and federal programs What You'll Be Building Go-To-Market Strategy & Launch - Define and execute GTM plans for new physical science capabilities (e.g., catalyst discovery campaigns, LNP property prediction, flow-reactor-based optimization, sorbents and coatings workflows), translating technical milestones into compelling market moments with clear offers, timelines, and success metrics. - Translate PS product milestones (new AISF demos, CLUE campaign results, partner-ready vignettes) into launch-ready packages, including positioning, messaging, collateral, and enablement assets. - Align launches with priority commercial motions in physical sciences (Accelerated By Lila, Lila Superscientists, joint development, and agentic science offerings) to maximize adoption and impact. Messaging & Positioning - Craft crisp, value-based messaging that communicates how Lila's platform accelerates: - Catalyst and materials discovery for green hydrogen and electrochemistry - LNP design and advanced materials development for transport and separations

### AI Residency Program, Material Science (2026 Cohort) - Lila Sciences
- Location: Cambridge, MA USA (unspecified)
- Salary: Not disclosed
- Posted: 2025-10-06
- Apply: https://job-boards.greenhouse.io/lilasciences/jobs/4031379009
- Excerpt: AI Residency Program, Material Science (2026 Cohort) Cambridge, MA USA AI Resident - 2026 Cohort The AI Residency Program is a full-time research opportunity designed to bridge the gap between academic research and industry applications in AI for materials science . Residents will work closely with Lila scientists and engineers on high-impact, open-science projects, with the option to focus on either fundamental or applied research. - Duration: 6-12 months (extension possible) - Start Dates: First hires beginning January 2026 , with rolling applications and additional intakes in Summer and Fall 2026 - Cohort Size: Small group of selected residents - Mentorship: Pairing with technical mentors, feedback from cross-functional teams - Resources: Access to proprietary datasets, high-performance compute, and Lila's research infrastructure Research areas include ML-accelerated simulations, Bayesian methods, representation learning, generative models, agentic science, and ML-driven automation. Application Requirement: Please submit your resume alongside a research proposal (up to 3 pages, unlimited references) outlining the project you would plan to pursue during your residency at Lila Sciences. Please submit your research proposal as your cover letter. Applications without both documents will not be considered. Optional supporting materials (e.g., recommendation letters, publications, research artifacts) may also be included. Your Impact at Lila The Lila Sciences AI Residency is a full-time research program at the intersection of artificial intelligence and materials science. As a resident, you'll join a cohort of researchers tackling open-ended scientific challenges alongside Lila's world-class team of scientists and engineers. With access to proprietary datasets, high-performance compute infrastructure, and

### Manager / Senior Manager, Product Marketing, Life Science - Lila Sciences
- Location: Cambridge, MA USA (unspecified)
- Salary: $108K-$187K
- Posted: 2026-02-24
- Apply: https://job-boards.greenhouse.io/lilasciences/jobs/4118210009
- Excerpt: Manager / Senior Manager, Product Marketing, Life Science Cambridge, MA USA Your Impact at LILA We are seeking a strategic Product Marketing Manager (Life Science) to own go-to-market for Lila's life science product portfolio. You'll translate complex, closed-loop AI and lab capabilities-such as mRNA design, DNA construct optimization, and AI-driven medicinal chemistry-into clear, credible stories and compelling commercial offerings for: - Biopharma and advanced therapy companies - R&D and CMC leaders - Data science / AI teams and scientific IT In collaboration with the Life Science Product team, you will shape RNA and DNA design technology tiles, hit-to-lead and lead optimization offerings, and early commercial pilots. Your work will define positioning, launch plans, and evidence strategies that move prospects from curiosity to committed programs. You'll articulate value, build differentiated narratives, and enable cross-functional execution across product, sales, and customer success to accelerate adoption and drive measurable business impact. What You'll Be Building Messaging & Positioning - Define and continuously refine product narratives for Lila's life science capabilities (RNA/mRNA design, DNA constructs, protein and small molecule optimization, AISF-powered workflows). - Tailor messaging to specific personas (Heads of R&D, Therapeutic Area leaders, CMC, translational and bioinformatics leads, Scientific IT) and use cases (hit-to-lead, mRNA design, in vivo CAR-T data stories). - Ensure all external materials reflect Lila's master narrative on scientific superintelligence, safety, and multi-domain learning. Go-To-Market Strategy & Launch - Lead end-to-end GTM for new life science capabilities: from beta/pilot framing through general availability and expansion. - Partner with Product, Commercial,

### Associate Director / Director of Program Management, Life Sciences - Lila Sciences
- Location: Cambridge, MA USA (unspecified)
- Salary: $148K-$224K
- Posted: 2026-03-17
- Apply: https://job-boards.greenhouse.io/lilasciences/jobs/4184652009
- Excerpt: Associate Director / Director of Program Management, Life Sciences Cambridge, MA USA Your Impact at LILA Lila Sciences is looking for an Associate Director / Director, Program Management, Life Sciences - a senior operator who will drive the planning, execution, and delivery of therapeutic programs on Lila's platform. This person will provide direct project management leadership to the internal science, engineering, and automation teams developing molecules for our partners, owning timelines, resourcing, and progress tracking across complex, multidisciplinary programs. They will also serve as a senior operational interface with our pharmaceutical and biotech partners, ensuring that deliverables, governance, and communication are running smoothly. These programs carry significant scientific complexity and commercial stakes. This role requires someone who can drive execution across fast-moving, technically demanding programs from the inside while maintaining the partner-facing judgment and presence to keep external stakeholders informed and aligned. What You'll Be Building - Own end-to-end project management for active therapeutic programs, including timeline development, resource coordination, milestone tracking, and dependency management across product, science, machine learning and automation teams - Drive day-to-day execution discipline; ensuring that internal teams have clear priorities, deliverables, and decision points, and that blockers are identified and resolved quickly - Manage resource allocation discussions and trade-off decisions across a complex set of priorities (e.g., balancing experiments between AI model training and near-term partnership deliverables) - Establish and maintain program-level reporting, including status updates, milestone tracking, and resource utilization views for internal leadership and external deliverables - Proactively identify, communicate, and manage program

### Scientist II/Senior Characterization Scientist, Condensed Matter - Lila Sciences
- Location: Cambridge, MA USA (unspecified)
- Salary: $128K-$198K
- Posted: 2026-05-26
- Apply: https://job-boards.greenhouse.io/lilasciences/jobs/4246305009
- Excerpt: Scientist II/Senior Characterization Scientist, Condensed Matter Cambridge, MA USA Your Impact at LILA As a Scientist II/Senior Scientist on the PS Experiment team at Lila Sciences, you will drive the development and implementation of advanced characterization workflows for magnetic and superconducting materials. You will be a core contributor to Lila's autonomous science platform, designing and executing high-throughput experiments that yield critical structural, magnetic, and transport data to guide materials discovery. Working at the intersection of experimental science, robotics, and AI, you will collaborate with experimentalists, systems engineers, and machine learning scientists to build scalable characterization workflows that accelerate the path to scientific superintelligence in superconductivity and magnetism. What You'll Be Building - Design, execute, and optimize characterization workflows for magnetic and superconducting materials using techniques such as magnetometry (VSM/SQUID), transport measurements, and AC susceptibility. - Analyze and interpret complex datasets to extract materials properties including critical temperatures, field-dependent behavior, and magnetic ordering. - Collaborate with experimentalists, systems engineers, and ML scientists to integrate characterization outputs into closed-loop autonomous experimental workflows. - Develop and maintain protocols for sample preparation, instrument calibration, and quality control across diverse material types and form factors. - Troubleshoot characterization workflows and instrumentation to sustain high-throughput operational performance. - Maintain accurate laboratory records and ensure compliance with safety and regulatory standards. What You'll Need to Succeed - PhD in Materials Science, Physics, Chemistry, or a related field, with 1-5 years of postdoctoral or industry experience. - Demonstrated expertise in characterization of magnetic or superconducting materials, including proficiency

### Associate Director/Director, Strategic Events - Lila Sciences
- Location: Cambridge, MA USA (unspecified)
- Salary: $148K-$224K
- Posted: 2026-02-26
- Apply: https://job-boards.greenhouse.io/lilasciences/jobs/4147718009
- Excerpt: Associate Director/Director, Strategic Events Cambridge, MA USA Your Impact at LILA The Associate Director/Director, Strategic Events will build and lead Lila's global external events function. You will own a portfolio of high‑impact programs-flagship Lila events, executive summits, investor and partner gatherings, policy convenings, and key third‑party conferences-that drive pipeline, relationships, talent, and brand . This is not a logistics planner role. You own the “why” and “how” of events: which audiences we prioritize, what we say, and how each moment advances Lila's goals with: - Investors - understanding our platform, business model, and roadmap - Commercial partners & customers - seeing AISF capabilities and use cases, ssi milestones and team capabilities - Policymakers - building trust in SSI, safety, and responsible deployment - AI & science talent - experiencing our mission, culture, and technical ambition. *NOTE: Events driving talent acquisition are a key priority in 2026. Experience with organizing engaging events for technical audiences is a plus. What You'll Be Building - Develop a 12-18 month strategic events roadmap aligned with company priorities and GTM motions (e.g., SLAS, JPM, NVIDIA GTC, Lila‑hosted summits, hackathons). - Define clear objectives and KPIs for each event (pipeline and revenue influence, investor and partner meetings, policy relationships, talent leads, brand reach). - Own strategy and execution for flagship and executive‑level events, including programming, formats, and audience journeys tailored for investors, partners/customers, policymakers, and technical talent. - Lead cross‑functional planning with MarCom, Commercial, BizOps, Federal/Policy, Talent, and Science/AI/Robotics teams to ensure events are fully integrated

### Principal ML Research Engineer - Lila Sciences
- Location: San Francisco, CA USA (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-15
- Apply: https://job-boards.greenhouse.io/lilasciences/jobs/4248820009
- Excerpt: Principal ML Research Engineer San Francisco, CA USA Your Impact at LILA Lila is building a platform where AI and automation co-evolve to solve the hardest problems in science. Within Life Science AI (LSAI), we are launching a new AI for Cell Biology team to develop autonomous-science capabilities for cellular and tissue biology, spanning single-cell omics, perturbation biology, spatial profiling, imaging, genetics, and multi-modal experimental data; that integrate deep biological expertise with foundation modeling and agentic systems. We are seeking a Principal ML Research Engineer to be the founding engineering leader on this team . This is a 0→1 hands-on role. You will build and operate the engineering platform : domain data, domain-specific models, shared specialist-model serving and inference, agentic infrastructure, and the evaluation harness that the team's research programs run on, and that integrates cell-biology research with Lila's central autonomous-science platform: it's core-model, agentic-systems, and experimental-automation infrastructure that closes the loop between AI reasoning and the lab. You will work closely with Lila's central AI Platform, Data Platform, and autonomous-lab engineering teams to leverage and extend core Lila infrastructure rather than rebuild it , and you will co-develop the technical direction of the team with the VP of AI for Cell Biology and its ML Scientists as you build. Cell- and tissue-scale biology sits at an open frontier of AI for science. The field has produced strong specialist models across sub-domains: single-cell foundation models, molecular structural prediction, perturbation response, cellular imaging, pathway and ligand-receptor inference - but the engineering

### Scientist, Epitaxial Thin Film Synthesis - Lila Sciences
- Location: Cambridge, MA USA (unspecified)
- Salary: $108K-$150K
- Posted: 2026-06-11
- Apply: https://job-boards.greenhouse.io/lilasciences/jobs/4253548009
- Excerpt: Scientist, Epitaxial Thin Film Synthesis Cambridge, MA USA Your Impact at LILA As an epitaxial thin film scientist on the Materials Science team at Lila Sciences, you will serve as the lead for synthesis of high-quality epitaxial thin films, contributing to the discovery of novel quantum materials with emergent electronic and magnetic properties. Your domain expertise at the intersection of materials growth, structural characterization, and electronic transport will translate into the method design and automated workflow to enable high throughput experimentation that Lila's autonomous science platform learns from. This work contributes to Lila's materials science programs focused on the predictive design of novel material families and compounds with novel functional properties. You will design growth and characterization protocols that shape how the platform interrogates new material systems, and your experimental outputs feed directly into the next round of campaigns. You will partner with experimentalists, systems engineers, and machine learning scientists, providing the functional-properties knowledge that keeps closed-loop campaigns scientifically grounded and accelerating toward next-generation materials systems. What You'll Be Building - Grow single-crystal epitaxial thin films and heterostructures using epitaxial deposition methods (sputtering, pulsed-laser deposition, molecular beam epitaxy). - Optimize deposition conditions (substrate temperature, flux ratios, growth rate) to achieve atomically sharp interfaces and target crystal phases. - Analyze XRD and AFM data. - Design, fabricate, and measure electronic transport devices, including temperature-dependent resistivity, Hall effect, and magnetoresistance. - Analyze magneto-transport data to extract physical parameters and identify emergent ground states. - Maintain deposition and characterization equipment; troubleshoot hardware and

### Director, Federal Strategy and Capture, Government Partnerships - Lila Sciences
- Location: Cambridge, MA USA (unspecified)
- Salary: $168K-$238K
- Posted: 2026-03-30
- Apply: https://job-boards.greenhouse.io/lilasciences/jobs/4202459009
- Excerpt: Director, Federal Strategy and Capture, Government Partnerships Cambridge, MA USA Your Impact at LILA Lila Sciences is looking for a Director of Federal Strategy & Capture to convert senior agency relationships and deep policy fluency into real government partnerships and funding wins. This role sits within our Government Partnerships organization and operates at the front end of capture - shaping the competitive environment before opportunities are formally announced, reading where the federal funding landscape is heading, and opening doors that demand genuine scientific and policy credibility. This is not a policy role. It's a capture role that requires someone with unusually deep federal experience. What You'll Be Building Named Account Ownership - Build, manage, and advance senior relationships at DOE, ARPA-E, NIH, and adjacent US mission agencies. You own the health, depth, and trajectory of those relationships over time. Opportunity Shaping - Engage agencies early enough to influence how funding opportunities are scoped and structured before they become RFPs, ensuring alignment with Lila's strategic roadmap. Cross-Agency Narrative Development - Partner with the Head of Government Partnerships to connect Lila's portfolio to national science priorities and build a prioritized federal pipeline. Institution Building - Help stand up Lila's federal capture function, including how we track relationships, manage pipeline, and engage agencies systematically over time. What You'll Need to Succeed - Senior US federal experience at the intersection of science, policy, and strategy - agency, NSC, interagency, or equivalent background - Scientific fluency in life sciences, biotechnology, or adjacent domains - A

### Senior / Principal ML Scientist, Foundation Models for Life Sciences - Lila Sciences
- Location: San Francisco, CA USA (unspecified)
- Salary: $268K-$384K
- Posted: 2026-04-27
- Apply: https://job-boards.greenhouse.io/lilasciences/jobs/4222034009
- Excerpt: Senior / Principal ML Scientist, Foundation Models for Life Sciences San Francisco, CA USA Your Impact at LILA Lila is building a platform where AI and automation co-evolve to solve the hardest problems in medicine. Within Life Science AI (LSAI), the Foundation Models team researches and develops large-scale generative models and reasoning frameworks that power automated scientific discovery across Lila's life science domains. We are seeking a Principal or Senior Principal Scientist to join this team as a core contributor. You will define and drive research at the intersection of state-of-the-art machine learning and life science data, spanning biological sequences, molecular structures, and multimodal experimental data. As part of a dynamic team, you will design and implement foundational models end to end, from problem formulation and architecture through training at scale, evaluation, and integration into Lila's closed-loop discovery engine. This is a high-impact IC role for someone who operates at the frontier of generative AI applied to biology. You will shape the technical agenda for foundation model research, collaborate closely with experimental scientists to close the computational-experimental loop, and represent Lila's work to the broader scientific community. What You'll Be Building - Drive research on foundation models for life science applications, including but not limited to biological sequence design, structure prediction, and multimodal scientific reasoning - Design, train, and evaluate large-scale generative models on biological and chemical data, integrating domain-specific constraints and priors - Contribute to the end-to-end ML process within Lila's "Lab-in-the-Loop" lifecycle: steer data generation strategy, build pipeline

### Senior / Principal Scientist, AI for Protein Engineering - Lila Sciences
- Location: San Francisco, CA USA (unspecified)
- Salary: $268K-$358K
- Posted: 2026-05-04
- Apply: https://job-boards.greenhouse.io/lilasciences/jobs/4237298009
- Excerpt: Senior / Principal Scientist, AI for Protein Engineering San Francisco, CA USA Your Impact at LILA Lila is building a platform where AI and automation co-evolve to solve the hardest problems in medicine. Within Life Sciences AI (LSAI), the AI for Protein Engineering team develops and uses the generative and predictive models that drive Lila's biomolecule design programs from in silico hypothesis to wet-lab validated lead. We are seeking a Senior or Principal Scientist to join this team as a senior IC focused on antibody design and engineering. You will develop and execute the methods and workflows that ensure successful completion of antibody campaigns. Scope may expand to additional modalities such as enzymes and peptides as needs evolve. This role sits at the bilingual edge of ML and biology. You will own biological understanding of campaign needs and partner closely with the Life Science Research team to design and validate computational predictions in the lab. You will shape the technical agenda for AI protein engineering at Lila and represent that work both internally and to the broader research community. What You'll Be Building - Develop and own protein design and engineering workflows for antibody campaigns, including de novo design, affinity maturation, and developability optimization - Execute design workflows end-to-end for active campaigns and deliver wet-lab-validated leads against program milestones - Translate campaign requirements - epitope selection, affinity targets, biophysical constraints, and developability criteria - into well-defined ML problems and design specifications - Adapt and extend state-of-the-art AI methods (generative models,

### ML Scientist I / II, Foundation Models for Life Sciences - Lila Sciences
- Location: San Francisco, CA USA (unspecified)
- Salary: $176K-$304K
- Posted: 2026-04-28
- Apply: https://job-boards.greenhouse.io/lilasciences/jobs/4222051009
- Excerpt: ML Scientist I / II, Foundation Models for Life Sciences San Francisco, CA USA Your Impact at Lila Lila is building a platform where AI and automation co-evolve to solve the hardest problems in medicine. Within Life Science AI (LSAI), the Foundation Models team researches and develops large-scale generative models and reasoning frameworks that power automated scientific discovery across Lila's life science domains. We are seeking a Scientist I or II to join this team as a contributor to foundation model research at the intersection of machine learning and life science data. You will work on generative models spanning biological sequences, molecular structures, and multimodal experimental data, contributing to problem formulation, model design, training, evaluation, and integration into Lila's closed-loop discovery engine. This is an IC role for someone building deep expertise in generative AI applied to biology. You will own research sub-problems end to end, collaborate closely with experimental scientists to close the computational-experimental loop, and contribute to Lila's presence in the broader scientific community. What You'll Be Building - Contribute to research on foundation models for life science applications, including biological sequence design, structure prediction, and multimodal scientific reasoning - Design, train, and evaluate generative models on biological and chemical data, incorporating domain-specific constraints and priors - Be part of the end-to-end ML process within Lila's "Lab-in-the-Loop" lifecycle: support data generation strategy, build pipeline models, and help design feedback loops where experimental results improve model performance - Translate biological questions into well-defined ML problems and interpret model outputs

### Co-op, LLMs for Decision Making - Lila Sciences
- Location: Cambridge, MA USA (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-11
- Apply: https://job-boards.greenhouse.io/lilasciences/jobs/4280808009
- Excerpt: Co-op, LLMs for Decision Making Cambridge, MA USA Your Impact at LILA Lila Sciences builds AI systems that accelerate discovery across the physical and life sciences. Within Physical Sciences AI, our decision making efforts develop the algorithms that drive experimental decision-making, closing the loop between models, experiments, and the next thing to try. We're now exploring how large language models can extend that capability: encoding domain priors, proposing candidates, reasoning over campaign history, and pairing naturally with established algorithms like Bayesian optimization for sample-efficient search. As an LLMs for Decision Making Co-Op, you will work at the intersection of LLMs and Bayesian optimization, prototyping and evaluating approaches that combine language model reasoning with principled experimental design. Your work will land in the decision making stack that powers experimental campaigns across Lila's AI Science Facilities. What You'll Be Building - Contribute to LLM-based decision-making methods for experimental campaigns, focused on a well-defined sub-problem - Prototype approaches that combine LLM reasoning with Bayesian optimization, active learning, or design of experiments, with mentor guidance - Build evaluation frameworks that benchmark LLM-augmented strategies against established Bayesian baselines - Help integrate promising methods into the decision making stack used across physical sciences campaigns - Document findings and share results through write-ups, presentations, or contributions to internal libraries What You'll Need to Succeed - Pursuing a Master's or PhD in Machine Learning, Computer Science, Statistics, Applied Mathematics, Physics, Chemistry, Materials Science, or a related quantitative field - Strong programming skills in Python and familiarity with ML

### Senior / Principal Technical Program Manager, Life Sciences AI - Lila Sciences
- Location: Cambridge, MA USA; San Francisco, CA USA (unspecified)
- Salary: $192K-$306K
- Posted: 2026-06-11
- Apply: https://job-boards.greenhouse.io/lilasciences/jobs/4278889009
- Excerpt: Senior / Principal Technical Program Manager, Life Sciences AI Cambridge, MA USA; San Francisco, CA USA Your Impact at LILA Lila is building a platform where AI and automation co-evolve to solve the hardest problems in medicine. Within Life Science AI (LSAI), Lila develops large-scale generative models and reasoning frameworks - spanning biological sequences, molecular structures, and multimodal experimental data - that power automated scientific discovery and feed Lila's closed-loop "Lab-in-the-Loop" discovery engine. As that work scales, the surface area of cross-functional coordination across model research, evaluation, experimental science, and downstream integration is growing fast. We are looking for a Senior or Principal Technical Program Manager to join our AI Research team and bring structure, accountability, and delivery cadence to Life Sciences AI. You will be the connective tissue between model researchers, computational and wet-lab scientists, automation and software teams, and the broader Lila organization. The successful candidate thrives in ambiguity, communicates exceptionally well across audiences, and knows how to build clarity and momentum on a fast-paced, rapidly scaling team. In addition, you must be genuinely curious about how foundation models for biology drive scientific discovery and able to clearly articulate what each program is trying to deliver. What You'll Be Building - Establish and operate the delivery cadence and rhythm for the Life Sciences AI organization - driving program planning, status, milestone tracking, and risk management across foundation model research, evaluation, and integration with Lila's closed-loop discovery engine. - Serve as the key communication interface between LSAI and partner

### Commercial Counsel (Associate Director/Director) - Lila Sciences
- Location: Cambridge, MA USA; San Francisco, CA USA (unspecified)
- Salary: $232K-$327K
- Posted: 2026-03-10
- Apply: https://job-boards.greenhouse.io/lilasciences/jobs/4174259009
- Excerpt: Commercial Counsel (Associate Director/Director) Cambridge, MA USA; San Francisco, CA USA Your Impact at LILA As Commercial Counsel (Director/Associate Director) at Lila Sciences, you will be a foundational member of the legal team, responsible for shaping and scaling legal capabilities in a fast-moving, frontier technology environment. This is a dynamic, high-ownership role focused on structuring and negotiating a wide array of commercial agreements, while also advising on legal and regulatory considerations surrounding artificial intelligence, scientific research, and cutting-edge technology development. You'll partner cross-functionally across science, engineering, business development, and operations to enable Lila's mission to accelerate discovery with AI. We're looking for an experienced, entrepreneurial attorney with 6-10 years of legal experience-someone who is excited to work at the intersection of law, AI, and science. You should thrive in environments that demand both precision and creativity, be comfortable navigating ambiguity, and bring a strong sense of judgment and empathy to collaborative problem-solving. If you're passionate about building scalable legal infrastructure, engaging deeply with novel technologies, and evolving the practice of law using AI, this is the role for you. What You'll Be Building - Draft, negotiate, and manage a broad range of commercial agreements (e.g., SaaS, IP licensing, vendor, partnership, and R&D collaboration contracts) - Provide pragmatic legal counsel to internal stakeholders across the business, product, and science functions, balancing legal risk with strategic objectives - Serve as a thought partner on regulatory and ethical considerations related to the use of AI in scientific and commercial contexts - Help build

### Senior / Engineer II, AI Lab Research Engineer - Lila Sciences
- Location: Cambridge, MA USA; San Francisco, CA USA (unspecified)
- Salary: $148K-$240K
- Posted: 2025-10-06
- Apply: https://job-boards.greenhouse.io/lilasciences/jobs/4029507009
- Excerpt: Senior / Engineer II, AI Lab Research Engineer Cambridge, MA USA; San Francisco, CA USA Your Impact at LILA Lila Sciences is the world's first scientific superintelligence platform and autonomous lab for life, chemistry, and materials science. We are pioneering a new age of boundless discovery by building the capabilities to apply AI to every aspect of the scientific method. We are introducing scientific superintelligence to solve humankind's greatest challenges, enabling scientists to bring forth solutions in human health, climate, and sustainability at a pace and scale never experienced before. Learn more about this mission at www.lila.ai At Lila, we are uniquely cross-functional and collaborative. We are actively reimagining the way teams work together and communicate. Therefore, we seek individuals with an inclusive mindset and a diversity of thought. Our teams thrive in unstructured and creative environments. All voices are heard because we know that experience comes in many forms, skills are transferable, and passion goes a long way. If this sounds like an environment you'd love to work in, even if you only have some of the experience listed below, please apply. What You'll Be Building - Agentic AI for science: Systems that perform sequential decision‑making and multi‑step reasoning to solve domain‑specific problems. - Workflow/code generation: From natural language intent to typed, executable steps for lab instruments. - Evaluation & reliability: Benchmarks, test suites, and telemetry to measure capability and quantify progress toward scientific goals. What You'll Need to Succeed - PhD or Masters in a quantitative discipline (e.g.,

### Co-Op, Data Extraction - Lila Sciences
- Location: Cambridge, MA USA (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-11
- Apply: https://job-boards.greenhouse.io/lilasciences/jobs/4280811009
- Excerpt: Co-Op, Data Extraction Cambridge, MA USA Your Impact at LILA Lila Sciences builds AI systems that accelerate discovery across the physical and life sciences. Within Physical Sciences AI, our team works on turning unstructured scientific knowledge (e.g., literature, patents, technical reports) into structured signals that power downstream Lila applications. As a Data Extraction Co-Op, you will work alongside research scientists and engineers on a focused sub-problem in this stack. You will get hands-on experience fine-tuning and evaluating extraction models, building pipelines for messy real-world data, and shipping work that flows into production systems. What You'll Be Building - Contribute to AI systems that extract and structure knowledge from scientific literature and patents, focused on a well-defined sub-problem - Fine-tune and evaluate language, multimodal, or specialized models for data extraction, with mentor guidance - Build and test pipelines that structure unstructured scientific data across text, tables, and visuals - Run extraction pipelines, analyze results, and document findings clearly - Share your work through a team presentation, write-up, or contribution to a publication or open-source project What You'll Need to Succeed - Pursuing a Bachelor's, Master's, or PhD in Computer Science, Chemistry, Materials Science, or a related field - Solid foundation in machine learning fundamentals and Python - Familiarity with NLP or computer vision concepts - Curiosity about scientific data and willingness to learn quickly in a research setting Bonus Points For - Coursework or projects involving multimodal models or document understanding (OCR, table/figure extraction) - Experience working with messy, real-world datasets

### Principal / Sr. Principal BioML Scientist - Lila Sciences
- Location: San Francisco, CA USA (unspecified)
- Salary: $288K-$480K
- Posted: 2026-05-21
- Apply: https://job-boards.greenhouse.io/lilasciences/jobs/4249163009
- Excerpt: Principal / Sr. Principal BioML Scientist San Francisco, CA USA Your Impact at LILA Lila is building a platform where AI and automation co-evolve to solve the hardest problems in medicine. Within Life Sciences AI (LSAI), we are standing up a new AI for Cell Biology team to develop autonomous-science capabilities for cellular and tissue biology, spanning single-cell omics, perturbation biology, spatial profiling, imaging, genetics, and multi-modal experimental data. We are seeking a Principal or Sr. Principal BioML Scientist to be a co-architect of how Lila's autonomous-science platform changes cell biology and to own the applied and translational BioML charter that turns those platform capabilities into real-world therapeutic impact. The team's ML lead owns core model strategy and inference architecture; the Engineering lead owns platform infrastructure; this role adds the applied scientific perspective into platform shape: deciding what closed loops are worth running, what kinds of scientific questions become tractable when AI and lab automation co-evolve, and what evidence standard turns a model output into an experimental decision. The platform isn't something this role consumes ; it's something this role helps build , from the applied science side. This role grows and leads the team's applied science footprint : a group of domain-embedded scientists working across disease areas and therapeutic modalities (cell therapy, nucleic-acid delivery, small molecule). The initial applied focus is target identification as the entry point into cell-biology-grounded therapeutic discovery, with the scope broadening over time as the team and the platform mature. This is a senior individual

### Materials Technical Program Manager - Lila Sciences
- Location: Cambridge, MA USA (unspecified)
- Salary: $156K-$208K
- Posted: 2026-04-24
- Apply: https://job-boards.greenhouse.io/lilasciences/jobs/4207843009
- Excerpt: Materials Technical Program Manager Cambridge, MA USA Your Impact at LILA Lila Sciences is applying its autonomous science platform to some of the hardest materials discovery problems in the world - from next-generation structural materials and extreme-environment coatings to clean energy catalysts and carbon capture. The Materials Science experiment team is running programs where the pace of autonomous experimentation demands real operational rigor, and we're looking for a Technical Program Manager to provide it. You'll work closely with the Materials Science domain leads who set scientific strategy and direction, while you own the execution layer: the project plans, the cross-functional dependencies, and the blockers that need to be surfaced and resolved before they become problems. You won't be directing scientific work - you'll be creating the conditions for it to happen at speed and at scale. This is a role for someone who genuinely loves the craft of program management in complex, technical environments. What You'll Be Building - Own day-to-day program execution within the Materials Science experiment team - maintaining project plans, tracking milestones, and ensuring agentic science programs are delivered on time and with rigor - Serve as the primary operational interface between the Materials Science team and platform partners (Automation, ML, Engineering) - communicating needs, aligning on priorities, and keeping dependencies visible and resolved - Translate scientific program goals into structured workstreams that enable autonomous experimentation to run efficiently and at scale - Run program rituals including sprint planning, stand-ups, and retrospectives with a bias toward purposeful

### Director of Product, Life Sciences - Lila Sciences
- Location: Cambridge, MA USA (unspecified)
- Salary: $184K-$256K
- Posted: 2025-10-20
- Apply: https://job-boards.greenhouse.io/lilasciences/jobs/4048370009
- Excerpt: Director of Product, Life Sciences Cambridge, MA USA Your Impact at LILA Lila Sciences is looking for a Director of Product, Life Sciences strategic and visionary product leader who will shape the future of our therapeutic research and development capabilities. Reporting to the Vice President, Life Science Product, you will lead the strategy, roadmap, and execution for products and platforms at the intersection of drug discovery, chemical synthesis, and scientific intelligence. What You'll Be Building - Drive the strategic direction for turning our AI capabilities toward breakthrough solutions in drug discovery, chemical synthesis, and molecular characterization - Translate strategic objectives into target product profiles (TPPs) and development campaigns that guide science and engineering teams and enable breakthrough innovations in life sciences - Lead customer and internal-user discovery, serving as the technical link to external customers and partners in the life sciences - Identify and shape product opportunities grounded in real-world discovery challenges, partnering closely with collaborators, customers, and strategic partners to ensure relevance and downstream value - Translate insights into clear product requirements, acceptance criteria, and experiment plans that guide engineering and science teams - Drive product execution from concept to launch while leading cross-functional teams across science, machine learning, automation, and software engineering - Manage resource allocations (budget, compute, lab access, people) and decisions against a complex set of priorities (e.g., focus of experiments between AI model training and near-term partnership requests) - Define clear success metrics and milestones, and clearly communicate progress against them to the company, including

### Director / Senior Director, Tax - Lila Sciences
- Location: Cambridge, MA USA (unspecified)
- Salary: $168K-$272K
- Posted: 2026-05-14
- Apply: https://job-boards.greenhouse.io/lilasciences/jobs/4240449009
- Excerpt: Director / Senior Director, Tax Cambridge, MA USA Your Impact at LILA LILA Sciences is seeking a Tax Director (or Senior Director, depending on experience) to build and lead our tax function. As a foundational hire - the first dedicated tax leader at LILA - you will establish our tax strategy, infrastructure, and ongoing compliance across federal, state, local, and international jurisdictions. You will work hand-in-hand with Finance, Legal, and the executive team to ensure our tax position is optimized, compliant, and aligned with our long-term goals. This is a high-impact, high-ownership role where you'll have the opportunity to shape the function from the ground up while contributing to the company's strategic direction. What You'll Be Building - Own end-to-end U.S. and international tax compliance and reporting - federal, state, local, income, sales & use, and R&D credits - and manage all related filings. - Develop and execute LILA's tax planning strategy, optimizing the effective tax rate (ETR) while supporting the company's growth, capital structure, and strategic initiatives. - Lead all aspects of ASC 740 income tax accounting - provisions, deferred tax, and uncertain tax positions - and manage relationships with external tax advisors and auditors. - Partner with Finance, Accounting, and Legal on the tax implications of M&A, equity rounds, equity compensation, intercompany transactions, and major vendor agreements. - Build scalable tax infrastructure (systems, controls, documentation, advisor network) and advise on international tax matters including transfer pricing, GILTI, and FDII. - Monitor legislative and regulatory developments and serve as

### Senior / Lead Technical Recruiter - Lila Sciences
- Location: San Francisco, CA USA (unspecified)
- Salary: $100K-$158K
- Posted: 2026-02-27
- Apply: https://job-boards.greenhouse.io/lilasciences/jobs/4156896009
- Excerpt: Senior / Lead Technical Recruiter San Francisco, CA USA Your Impact at LILA Lila is building at the frontier of AI-driven science, and the quality of our team is the most important variable in our success. As a Senior/Lead Technical Recruiter, you will own full-cycle recruiting for our engineering and AI/ML research roles, building the pipelines and relationships that bring exceptional technical talent to Lila. You will partner closely with hiring managers and the broader Talent Acquisition team to maintain a high bar across our most critical technical disciplines. The right person is deeply curious about highly technical fields, well-networked in engineering and AI/ML talent communities, and committed to delivering a rigorous, high-touch candidate experience. You operate with strong ownership and are motivated by the craft of finding and closing exceptional people. What You'll Be Building - Own full-cycle recruiting for software engineering and AI/ML research roles, from intake through close - Build and maintain a high-quality pipeline of technical talent through proactive sourcing across a range of channels, including professional networks, technical communities, and direct outreach - Partner with hiring managers to design effective interview processes and develop role-specific sourcing and closing strategies - Develop compelling narratives for technical audiences - communicating why Lila, why now, and why this role - and refine messaging based on market feedback - Contribute to the development and adoption of AI-powered recruiting tools and sourcing methodologies that raise the team's overall effectiveness - Maintain operational rigor across pipeline tracking, stage hygiene, candidate communications,

### Co-op, Machine Learning for Digital Twins - Lila Sciences
- Location: Cambridge, MA USA (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-11
- Apply: https://job-boards.greenhouse.io/lilasciences/jobs/4280809009
- Excerpt: Co-op, Machine Learning for Digital Twins Cambridge, MA USA Your Impact at LILA Lila Sciences builds AI systems that accelerate discovery across the physical and life sciences. Within Physical Sciences AI, our team partners with the diverse experimental groups to build digital twins of experimental campaigns, focusing on calibrated, uncertainty-aware models that enable higher-throughput, higher-quality use of Lila's AI Science Facilities (AISF). As an ML for Digital Twins Co-Op, you will work on building, training, and evaluating ML models for physical and experimental systems. You will get hands-on experience with operator learning, surrogate modeling, and uncertainty quantification, shipping work that directly informs how next-generation AISF experiments are designed and run. What You'll Be Building - Contribute to ML models for scientific and experimental systems, focused on a well-defined digital twin sub-problem - Build and train surrogate, operator-learning, or physics-informed models against experimental and simulation data, with mentor guidance - Calibrate models, quantify uncertainty, and validate against data flowing from active AISF experimental campaigns - Frame open-ended scientific questions as concrete ML tasks with clear datasets, baselines, and evaluation criteria - Document findings and share results in cross-departmental collaboration through write-ups and presentations What You'll Need to Succeed - Pursuing a Master's or PhD in Machine Learning, Computer Science, Applied Mathematics, Physics, Materials Science, Chemical Engineering, Mechanical Engineering, Electrical Engineering, or a related quantitative field (PhD preferred) - Strong programming skills in Python and hands-on experience with ML frameworks such as PyTorch, JAX, TensorFlow, or similar - Experience applying machine learning

### Staff Software Engineer, Lab Software - Lila Sciences
- Location: Cambridge, MA USA (unspecified)
- Salary: $192K-$256K
- Posted: 2026-05-21
- Apply: https://job-boards.greenhouse.io/lilasciences/jobs/4250063009
- Excerpt: Staff Software Engineer, Lab Software Cambridge, MA USA Your Impact at LILA Join us in shaping the future of science! We are seeking Staff Software Engineers with backend experience to join our Lab Software Team (LaS), where you'll collaborate with software engineers, lab scientists, and machine learning engineers to build cutting-edge tools for automated scientific analysis and more. If you thrive in a collaborative, fast-paced environment and bring best practices in git, development workflows, and user-centered design, we want to hear from you! About The Team The Lab as Software Team (LaS) acts as the physical and virtual execution layer for Lila's AI-driven science. This connects the Lila App to AI Science Factories (AISFs), the mechanism through which experiments are dispatched to real instruments. This team owns the full stack of lab integration: orchestration of labflows, instrument integrations, bi-directional data transfer, and the UI/UX that AI scientists and operators use to interact with the lab. What You'll Be Building - Design & Build UI and APIs: Design and build high-performance, secure, and well-documented UI and APIs that integrate with AI-driven applications. - Database Architecture & Scaling: Develop schemas and manage diverse data systems (SQL, NoSQL, Vector DBs, and others) for optimal performance and scalability. - Application Development: Drive the implementation of front-end and backend services, focusing on performance, maintainability, and reliability. - Performance & Reliability: Diagnose and optimize system bottlenecks, ensuring high availability and low-latency performance across large-scale workloads. - Cloud & Infrastructure: Leverage AWS services, Kubernetes and modern DevOps

### Senior Research Associate/Associate Scientist, Platform Scientist - Lila Sciences
- Location: Cambridge, MA USA (unspecified)
- Salary: $80K-$118K
- Posted: 2026-05-26
- Apply: https://job-boards.greenhouse.io/lilasciences/jobs/4246980009
- Excerpt: Senior Research Associate/Associate Scientist, Platform Scientist Cambridge, MA USA Your Impact at LILA As a Senior Research Associate / Scientist on the Platform Science team within Lila's Autonomous Science Platform, your work will directly contribute to building Lila's next-generation, AI-driven research capabilities. You will have the opportunity to pioneer novel automated instruments centered around advanced processing and characterization of solid state materials - at the critical intersection of hardware, software, and scientific inquiry. This role is a unique blend of hands-on engineering and scientific investigation, where you will prototype, automate, and validate the platforms that will define the lab of the future. You will operate across a broad set of disciplines, working closely with the vacuum synthesis, platform science, and characterization teams to build tools that dramatically accelerate the pace of scientific discovery and support active research campaigns across multiple initiatives. What You'll Be Building - Design, construct, and integrate novel automated experimental platforms with a material emphasis on solid state synthesis and novel processing methods, working in close collaboration with the vacuum synthesis, platform, and characterization teams to align on system requirements and share technical knowledge. - Work hands-on to integrate hardware components, including optics, robotics, and sensors, into a cohesive, automated workflow. - Develop end-to-end software stacks from instrument control to data stewardship and integration with downstream models. - Analyze instrument data to validate system performance, troubleshoot issues, and support research initiatives designed to establish and expand the capabilities of new platforms. - Collect, document, and interpret experimental

### Senior Software Engineer, Lab Software - Lila Sciences
- Location: Cambridge, MA USA (unspecified)
- Salary: $144K-$210K
- Posted: 2026-05-26
- Apply: https://job-boards.greenhouse.io/lilasciences/jobs/4250038009
- Excerpt: Senior Software Engineer, Lab Software Cambridge, MA USA Your Impact at LILA Join us in shaping the future of science! We are seeking Senior Software Engineers with backend experience to join our Lab Software Team (LaS), where you'll collaborate with software engineers, lab scientists, and machine learning engineers to build cutting-edge tools for automated scientific analysis and more. If you thrive in a collaborative, fast-paced environment and bring best practices in git, development workflows, and user-centered design, we want to hear from you! About The Team The Lab as Software Team (LaS) acts as the physical and virtual execution layer for Lila's AI-driven science. This connects the Lila App to AI Science Factories (AISFs), the mechanism through which experiments are dispatched to real instruments. This team owns the full stack of lab integration: orchestration of labflows, instrument integrations, bi-directional data transfer, and the UI/UX that AI scientists and operators use to interact with the lab. What You'll Be Building - Design & Build UI and APIs: Design and build high-performance, secure, and well-documented UI and APIs that integrate with AI-driven applications. - Database Architecture & Scaling: Develop schemas and manage diverse data systems (SQL, NoSQL, Vector DBs, and others) for optimal performance and scalability. - Application Development: Drive the implementation of front-end and backend services, focusing on performance, maintainability, and reliability. - Performance & Reliability: Diagnose and optimize system bottlenecks, ensuring high availability and low-latency performance across large-scale workloads. - Cloud & Infrastructure: Leverage AWS services, Kubernetes and modern DevOps

### Software Engineer II, Lab Software - Lila Sciences
- Location: Cambridge, MA USA (unspecified)
- Salary: $120K-$180K
- Posted: 2026-05-21
- Apply: https://job-boards.greenhouse.io/lilasciences/jobs/4250045009
- Excerpt: Software Engineer II, Lab Software Cambridge, MA USA Your Impact at LILA Join us in shaping the future of science! We are seeking a Software Engineer II with backend experience to join our Lab Software Team (LaS), where you'll collaborate with software engineers, lab scientists, and machine learning engineers to build cutting-edge tools for automated scientific analysis and more. If you thrive in a collaborative, fast-paced environment and bring best practices in git, development workflows, and user-centered design, we want to hear from you! About The Team The Lab as Software Team (LaS) acts as the physical and virtual execution layer for Lila's AI-driven science. This connects the Lila App to AI Science Factories (AISFs), the mechanism through which experiments are dispatched to real instruments. This team owns the full stack of lab integration: orchestration of labflows, instrument integrations, bi-directional data transfer, and the UI/UX that AI scientists and operators use to interact with the lab. What You'll Be Building - Design & Build UI and APIs: Design and build high-performance, secure, and well-documented UI and APIs that integrate with AI-driven applications. - Database Architecture & Scaling: Develop schemas and manage diverse data systems (SQL, NoSQL, Vector DBs, and others) for optimal performance and scalability. - Application Development: Drive the implementation of front-end and backend services, focusing on performance, maintainability, and reliability. - Performance & Reliability: Diagnose and optimize system bottlenecks, ensuring high availability and low-latency performance across large-scale workloads. - Cloud & Infrastructure: Leverage AWS services, Kubernetes and modern

### Scientist/Sr. Scientist, AI Safety - Lila Sciences
- Location: Cambridge, MA USA; London, UK; San Francisco, CA USA (unspecified)
- Salary: $228K-$358K
- Posted: 2025-12-16
- Apply: https://job-boards.greenhouse.io/lilasciences/jobs/4079014009
- Excerpt: Scientist/Sr. Scientist, AI Safety Cambridge, MA USA; London, UK; San Francisco, CA USA Your Impact at LILA We're building a talent-dense, high-agency AI safety team at Lila that will engage all core teams within the organization (science, model training, lab integration, etc.), to prepare for risks from scientific superintelligence. The initial focus of this team will be to build and implement a bespoke safety strategy for Lila, tailored to its specific goals and deployment strategies. This will involve technical safety strategy development, broader ecosystem engagement, as well as developing technical collateral including risk- and capability-focused evaluations and safeguards. What You'll Be Building - Evaluations to test for scientific risks (both known but especially novel) from cutting edge scientific models integrated with automated physical labs - Initial proof-of-concept safeguards, such as ML models to detect and block unsafe behavior from scientific AI models, as well as from physical lab outputs. - Understanding of a range of model capabilities, across primarily scientific but also non-scientific domains (e.g. persuasion, deception) to inform Lila's broader safety strategy. - Broader, high-quality research efforts - as and when needed - for scientific capability evaluation and restriction. What You'll Need to Succeed - Bachelor's degree in a technical field (e.g., computer science, engineering, machine learning, mathematics, physics, statistics), or related experience. - Strong programming skills in Python, and experience with ML frameworks (including, for instance, Inspect) for large-scale evaluation and scaffolded testing. - Experience in building evaluations, or conducting red-teaming exercises, for CBRN / cyber risks (or

### Director / Senior Director, Talent Acquisition - Lila Sciences
- Location: Cambridge, MA USA (unspecified)
- Salary: $168K-$272K
- Posted: 2026-04-15
- Apply: https://job-boards.greenhouse.io/lilasciences/jobs/4219171009
- Excerpt: Director / Senior Director, Talent Acquisition Cambridge, MA USA Your Impact at LILA Lila is building at the frontier of AI-driven science, and the quality of our team is the most important variable in our success. As Director of Talent Acquisition, you will lead a team of recruiters, sourcers, and TA Operations professionals maintaining a critically high talent bar across AI, Software, and Scientific hiring. You will set the strategic direction for how Lila finds, attracts, and closes exceptional talent in some of the most competitive markets in the world, designing interview processes, developing bespoke sourcing strategies, and building the metrics infrastructure to track what's working. You will also coach and mentor your team, raising the overall craft of the function. The right person is deeply curious about highly technical disciplines, well-networked across AI, Software, and Science talent communities, and driven to multiply the brilliance and culture of the company with every hire. You operate with high autonomy and are motivated by building a talent function that is itself a competitive advantage. What You'll Be Building - Lead and develop a team of recruiters, sourcers, and TA Operations professionals, setting high standards for performance, craft, and candidate experience - Own full-cycle recruiting strategy across the entire company, scaling the organization across multiple technical disciplines, functions, and geographies - Design and continuously improve interview processes, sourcing strategies, and closing approaches for highly technical and competitive roles - Build and deploy AI-powered tools and custom sourcing methodologies that raise the ceiling on

### Project Manager, Facilities Management - Lila Sciences
- Location: Cambridge, MA USA (unspecified)
- Salary: $108K-$144K
- Posted: 2026-05-12
- Apply: https://job-boards.greenhouse.io/lilasciences/jobs/4240470009
- Excerpt: Project Manager, Facilities Management Cambridge, MA USA Your Impact at LILA Lila Sciences is expanding its physical footprint and upgrading the facilities that power its research. As Project Manager on the Facilities Management team, you will own the end-to-end delivery of capital projects - from lab buildouts and HVAC upgrades to new site development - that directly enable Lila's scientific operations. Reporting to the Director of Capital Projects, you will manage the full project lifecycle: scoping, planning, budgeting, vendor and contractor management, permitting, and closeout. You will partner closely with scientific, operations, engineering, and EHS teams to ensure projects are delivered safely, on time, and within budget. This role sits at the intersection of construction execution and scientific infrastructure. You will bring order and accountability to complex, multi-stakeholder projects in a fast-moving environment where the quality of the facilities directly affects the quality of the science. What You'll Be Building - Lead end-to-end delivery of capital projects - including lab buildouts, renovations, HVAC/MEP upgrades, and new site development - from scoping through closeout - Develop and maintain project plans, schedules, budgets, and risk registers; identify and resolve issues before they affect cost or timeline - Manage vendors, architects, and general contractors; hold external partners accountable for quality, safety, and on-schedule delivery - Partner with scientific, operations, engineering, and EHS teams to align project scope with research and operational requirements - Own permitting, inspections, and regulatory compliance across all active projects; ensure adherence to applicable safety standards and building codes -

### Director, Sustaining Engineering & Lab Operations - Lila Sciences
- Location: Cambridge, MA USA (unspecified)
- Salary: $168K-$224K
- Posted: 2026-04-22
- Apply: https://job-boards.greenhouse.io/lilasciences/jobs/4227385009
- Excerpt: Director, Sustaining Engineering & Lab Operations Cambridge, MA USA Your Impact at LILA Lila is building AI Science Factories (AISFs) - highly automated, AI-directed labs that generate the proprietary experimental data powering our AI platform. As we scale from one AISF to many, the operational infrastructure that keeps those factories running is a first-class strategic capability. The Director of Sustaining Engineering & LabOps owns that execution layer: fleet reliability, incident response, AISF health, root cause analysis, site-level continuous improvement, and the execution of platform releases and change control at the site - alongside the operational foundation that makes it possible (consumables, reagents, CMMS, asset management, PM, first-response maintenance, multi-shift logistics). This role will build out Lila's Local Site Sustaining Engineering capability from the ground up, incorporating Maintenance Engineering (ME) as a sub-function. It reports solid-line to the VP, ASP Strategy and Operations with a dotted line to the Director of Sustaining Engineering (Global / Cambridge Core Engineering) for platform standards, change control, and equivalence evidence. The function executes within centrally defined platform constraints and feeds structured signal back to Global Engineering through the operating cadences defined in the ASP Engineering operating model. You'll define the operating model, lead its expansion to new sites, drive AI-enabled innovation in equipment health and lab operations, and author the standards that travel with every AISF we open. You'll be a principal contributor to the Blueprint program - the global deployment framework defining how Lila builds and runs AISFs at scale. What You'll Be Building

### Enterprise Account Lead, Life Sciences - Lila Sciences
- Location: Cambridge, MA USA (unspecified)
- Salary: $88K-$144K
- Posted: 2026-05-29
- Apply: https://job-boards.greenhouse.io/lilasciences/jobs/4251026009
- Excerpt: Enterprise Account Lead, Life Sciences Cambridge, MA USA Your Impact at LILA We are seeking an Enterprise Account Lead, Life Sciences to define how top 20 pharma and leading biotech companies engage with the world's first platform for scientific superintelligence. You'll be a foundational member of the team responsible for building and scaling our enterprise sales organization and driving deal execution for Lila's AI-driven drug discovery and life sciences platform. As a revenue-focused individual contributor, you'll own and grow a portion of our life sciences revenue pipeline, working across technical product, science, GTM, software, robotics, and Physical AI teams to translate our closed-loop AI and autonomous lab capabilities into signed enterprise contracts across target discovery, small molecule, and biologics. You'll lead deep, multi-stakeholder engagements with a portfolio of top 20 pharma accounts, and in parallel, open new doors across the biotech ecosystem to build a repeatable mid-market motion. The role demands technical depth, business acumen, an entrepreneurial mindset, and customer-centricity, and it is intentionally shaped to grow with the person who takes it on. In year one, you will work across product and customer strategy, customer technical discovery, sales process design, and account leadership in one of the most technically demanding verticals in enterprise software. What You'll Be Building - Build and grow a qualified pipeline against clear revenue targets, from lead generation through close, with accurate forecasts and deal records. - Lead complex, multi-quarter sales cycles across discovery, translational, platform, data/AI, BD/licensing, and business stakeholders at top 20 pharma

### Co-Op, AI Security - Lila Sciences
- Location: Cambridge, MA USA (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-11
- Apply: https://job-boards.greenhouse.io/lilasciences/jobs/4280945009
- Excerpt: Co-Op, AI Security Cambridge, MA USA Your Impact at LILA Lila Sciences is building the world's first scientific super intelligence platform. As AI agents and automated systems handle more of the research and operations workload, securing them has become a core focus for the IT & Security team. This Co-Op role focuses on the AI side of that work. You will join the IT & Security team and contribute to projects that evaluate, harden, and monitor the AI tools, agents, and automation pipelines Lila depends on. Expect exposure to areas most academic programs don't cover yet: agent governance, prompt-level threats, model deployment risks, and AI-driven security automation. The role is structured for someone curious, technical, and looking to build applied experience. You will own specific projects, work alongside security engineers, and finish the term with hands-on work in a domain that is still being defined. What You'll Be Building - Assist in identifying and analyzing AI/ML security vulnerabilities, including prompt injection attacks, model poisoning, and data poisoning risks - Participate in threat modeling exercises for AI systems and recommend security mitigations - Review and test AI/ML application code and configurations for security issues - Research emerging AI security threats and compile findings into technical documentation - Develop and run security tests and proof-of-concepts for AI model robustness - Collaborate with cross-functional teams including ML engineers, product managers, and security architects What You'll Need to Succeed - Currently enrolled in a Computer Science, Cybersecurity, Information Security, or related program. - Foundational

### Director, Nucleic Acid Delivery - Lila Sciences
- Location: Cambridge, MA USA (unspecified)
- Salary: $184K-$256K
- Posted: 2026-03-11
- Apply: https://job-boards.greenhouse.io/lilasciences/jobs/4179564009
- Excerpt: Director, Nucleic Acid Delivery Cambridge, MA USA Your Impact at LILA The Director of Nucleic Acid Delivery will lead the discovery and engineering of next-generation delivery systems for nucleic acid cargo. This role will drive the design of targeted lipid nanoparticles (tLNPs) and other biological delivery modalities to enable precise delivery of nucleic acids across diverse tissues and cell types. Leveraging the Lila Sciences AI platform and AI Science Factory , this leader will guide an interdisciplinary team of scientists in integrating AI-driven hypothesis generation, robotics-enabled experimentation, and biological insight to accelerate discovery of transformative delivery technologies. The role will focus on the biological targeting and functional delivery, while collaborating closely with formulation scientists responsible for lipid composition and formulation optimization. This position is ideal for a creative scientific leader who believes that AI, automation, and integrated biological systems thinking will fundamentally reshape therapeutic discovery. The successful candidate will bring deep expertise in nucleic acid delivery and a passion for building collaborative teams. What You'll Be Building - Lead and build a high-performing team of senior scientists, scientists, and research associates focused on nucleic acid delivery technology development. - Drive the discovery and engineering of targeted lipid nanoparticle systems for delivery of nucleic acid therapeutics. - Design and evaluate targeting ligands, conjugation strategies, and nanoparticle architectures that enable tissue- and cell-specific delivery. - Develop and implement innovative biological assays and screening platforms to evaluate delivery efficiency, biodistribution, cellular uptake, and functional nucleic acid expression or editing. - Leverage the Lila

### Lab IT & OT Systems Administrator - Lila Sciences
- Location: Cambridge, MA USA (unspecified)
- Salary: $88K-$126K
- Posted: 2026-05-20
- Apply: https://job-boards.greenhouse.io/lilasciences/jobs/4249275009
- Excerpt: Lab IT & OT Systems Administrator Cambridge, MA USA Your Impact at LILA The Lab IT/OT Systems Administrator is a hands-on technology role responsible for the day-to-day administration, troubleshooting, and continuous improvement of computing infrastructure inside Lila Sciences' laboratory environments. This role owns the layer of technology that sits between corporate IT and operational technology (OT), the workstations, edge compute, lab-area networking, and instrument-adjacent systems that enable autonomous science to run reliably. Reporting to the Senior Director, OT Security and IT/OT Convergence, the Lab IT/OT Systems Administrator works in close partnership with the OT network architecture team, corporate IT operations, facilities/building automation, and laboratory operations leadership. The successful candidate is comfortable operating in a complex, fast-moving research environment where standard corporate IT practices do not always apply, where change control matters more than speed, and where the end users are scientists running irreplaceable experiments on highly specialized equipment. This is a foundational role in Lila's IT/OT convergence program. The person hired will not only deliver operational support but will also help define standards, build the device catalog, and establish the playbooks that scale the function as the company grows. What You'll Be Building Lab IT Operations and Support - Provide day-to-day administration and troubleshooting for laboratory computing assets, including lab-area workstations, edge compute nodes, lab-supplied PCs, and dedicated lab-network infrastructure (switches, access points, cabling). - Respond to and resolve Lab IT incidents and service requests through the enterprise ITSM platform, applying appropriate prioritization for experiments in progress and time-sensitive scientific

### Community & Ecosystem Growth Strategist - Lila Sciences
- Location: Cambridge, MA USA (unspecified)
- Salary: $148K-$198K
- Posted: 2026-02-24
- Apply: https://job-boards.greenhouse.io/lilasciences/jobs/4146091009
- Excerpt: Community & Ecosystem Growth Strategist Cambridge, MA USA Your Impact at LILA We are hiring a Community & Ecosystem Growth Strategist who is equal parts social strategist, influencer operator, and deeply online community member. A key part of this role is growing high-quality networks of followers for Lila's executives and scientific leaders by tapping the communities that matter across: - Academia and research - Relevant industries (materials, energy, chemicals, therapeutics, biotech, aerospace and defense) - Government and public sector science, technology, and innovation ecosystems You will help our leaders show up credibly and consistently in technical discourse, build relationships, and earn durable attention.This role also requires fluency with AI agents and the ability to build, deploy, and manage them - from engagement monitoring and community growth to content drafts and analytics workflows. We expect this person to think like an operator who uses agentic tooling to extend their reach and keep pace with the demands of running a multi-platform presence at scale. What You'll Be Building - Executive presence and follower growth - Build and execute growth strategies for key executives' social accounts (X, LinkedIn, substack, and niche community platforms). - Grow networks with the right followers: researchers, lab leaders, R&D decision-makers, open-source contributors, and public sector stakeholders. - Build an executive “always-on” cadence: posts, replies, threads, commentary, and lightweight community engagement. - Be present in frontier technical communities - Participate in online communities discussing AI-accelerated science, robotics, materials science, life science, chemistry, frontier technology, generative AI, and agentic science.

### Enterprise Account Lead, Physical Sciences - Lila Sciences
- Location: Cambridge, MA USA (unspecified)
- Salary: $88K-$144K
- Posted: 2026-05-20
- Apply: https://job-boards.greenhouse.io/lilasciences/jobs/4251025009
- Excerpt: Enterprise Account Lead, Physical Sciences Cambridge, MA USA Your Impact at LILA We are seeking an Enterprise Account Lead, Physical Sciences to define how Fortune 500 energy, chemicals, manufacturing, and materials companies engage with the world's first platform for scientific superintelligence. You'll be a foundational member of the team responsible for building and scaling our enterprise sales organization and driving deal execution for Lila's AI-driven materials and chemistry platform. As a revenue-focused individual contributor, you'll own and grow a portion of our physical sciences revenue pipeline, working across technical product, science, GTM, software, robotics, and Physical AI teams to translate our closed-loop AI and autonomous lab capabilities into signed enterprise contracts across catalyst, flow chemistry, and advanced materials. This role blends technical depth with strong business acumen, an entrepreneurial mindset, and customer-centricity, and it is intentionally shaped to grow with the person who takes it on. You will prospect, qualify, and close enterprise deals, deliver structured market insights back to inform our product roadmap, and help to build out our GTM organization. In year one, you'll work across product and customer strategy, customer technical discovery, sales process design, and account leadership in one of the most technically demanding verticals in enterprise software. What You'll Be Building - Build, manage, and grow a high-quality pipeline against clear revenue targets, from opportunity identification and qualification through proposal, negotiation, and close. - Lead complex, multi-stakeholder sales cycles across R&D, platform/technology, data/AI, and business leadership, coordinating internally to ensure tight execution and timely progress.

### Senior Software Engineer, App - Lila Sciences
- Location: Cambridge, MA USA; San Francisco, CA USA (unspecified)
- Salary: $144K-$240K
- Posted: 2026-05-26
- Apply: https://job-boards.greenhouse.io/lilasciences/jobs/4248042009
- Excerpt: Senior Software Engineer, App Cambridge, MA USA; San Francisco, CA USA Your Impact at LILA Scientists shouldn't have to context-switch between a dozen tools to go from hypothesis to result. We're building the platform that makes this a reality - and we need engineers who want to solve problems no one has solved before. We're hiring Sr Principal / Principal Software Engineers to design the agents, interfaces, and platform integrations that let researchers seamlessly collaborate with AI. About The Team The Application Team sits at the center of LILA - the integration point where Machine Learning, Life Sciences, Physical Sciences, and Software become one AI-native experience that carries a scientist from hypothesis to experiment to breakthrough results. - AI isn't a feature here - it's the architecture. Agent frameworks, tools, and LLM orchestration are core primitives, not bolt-ons. - The problems are genuinely hard. Connecting AI to automated lab workflows, ML pipelines, and multi-domain knowledge graphs means inventing patterns, not copying them. - You'll learn domains you never expected. Working shoulder-to-shoulder with lab scientists and ML engineers means your technical surface area grows fast. - You'll ship things that matter. The tools you build accelerate research timelines from months to days. If you want to build at the intersection of AI and science, move fast without breaking trust, and grow into the kind of engineer who can architect systems that don't exist yet - we want to talk. What You'll Be Building - Design & Build UI and APIs: Design

### Sr Principal/Principal Software Engineer, App - Lila Sciences
- Location: Cambridge, MA USA; San Francisco, CA USA (unspecified)
- Salary: $204K-$348K
- Posted: 2026-05-21
- Apply: https://job-boards.greenhouse.io/lilasciences/jobs/4248036009
- Excerpt: Sr Principal/Principal Software Engineer, App Cambridge, MA USA; San Francisco, CA USA Your Impact at LILA Scientists shouldn't have to context-switch between a dozen tools to go from hypothesis to result. We're building the platform that makes this a reality - and we need engineers who want to solve problems no one has solved before. We're hiring Sr Principal / Principal Software Engineers to design the agents, interfaces, and platform integrations that let researchers seamlessly collaborate with AI. About The Team The Application Team sits at the center of LILA - the integration point where Machine Learning, Life Sciences, Physical Sciences, and Software become one AI-native experience that carries a scientist from hypothesis to experiment to breakthrough results. - AI isn't a feature here - it's the architecture. Agent frameworks, tools, and LLM orchestration are core primitives, not bolt-ons. - The problems are genuinely hard. Connecting AI to automated lab workflows, ML pipelines, and multi-domain knowledge graphs means inventing patterns, not copying them. - You'll learn domains you never expected. Working shoulder-to-shoulder with lab scientists and ML engineers means your technical surface area grows fast. - You'll ship things that matter. The tools you build accelerate research timelines from months to days. If you want to build at the intersection of AI and science, move fast without breaking trust, and grow into the kind of engineer who can architect systems that don't exist yet - we want to talk. What You'll Be Building - Design & Build UI and APIs:

### Chemistry Technical Program Manager - Lila Sciences
- Location: Cambridge, MA USA (unspecified)
- Salary: $128K-$172K
- Posted: 2026-04-24
- Apply: https://job-boards.greenhouse.io/lilasciences/jobs/4204188009
- Excerpt: Chemistry Technical Program Manager Cambridge, MA USA Your Impact at LILA Lila Sciences is using its autonomous science platform to accelerate chemical discovery - from smarter synthesis pathways and next-generation catalysts to molecular design for clean energy and industrial applications. The Chemistry experiment team is running programs at a pace and scale that demands serious operational rigor, and we're looking for a Technical Program Manager to provide it. You'll work closely with the Chemistry domain lead who sets scientific strategy and direction, while you own the execution layer: the project plans, the cross-functional dependencies, and the blockers that need to be surfaced and resolved before they become problems. You won't be directing scientific work - you'll be creating the conditions for it to happen at speed and at scale. This is a role for someone who genuinely loves the craft of program management in complex, technical environments. What You'll Be Building - Own day-to-day program execution within the Chemistry experiment team - maintaining project plans, tracking milestones, and ensuring agentic science programs are delivered on time and with rigor - Serve as the primary operational interface between the Chemistry team and platform partners (Automation, ML, Engineering) - communicating needs, aligning on priorities, and keeping dependencies visible and resolved - Translate scientific program goals into structured workstreams that enable autonomous experimentation to run efficiently and at scale - Run program rituals including sprint planning, stand-ups, and retrospectives with a bias toward purposeful meetings, documentation, and follow-through - Partner with the Chemistry

### Contractor, Support Engineer I, Automation (2nd shift) - Lila Sciences
- Location: Cambridge, MA USA (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-22
- Apply: https://job-boards.greenhouse.io/lilasciences/jobs/4249657009
- Excerpt: Contractor, Support Engineer I, Automation (2nd shift) Cambridge, MA USA Your Impact at LILA Lila Sciences is hiring a Support Engineer I, Automation to keep second-shift operations humming on the AI Science Factory (AISF), the automated platform driving our work in drug discovery, bioengineering, and advanced materials. You will work 2-10 PM alongside the Integration Engineering and Research Operations teams, picking up where the day shift leaves off and keeping experiments moving into the evening. The work is hands-on and varied. You triage issues on the workcells as they come up, recover stalled runs, knock out routine maintenance, and partner with on-shift Research Ops scientists to keep their work on track. At the end of the night, you hand the system back to the day team with a clear status report so tomorrow's science can start without surprises. You will work closely with the engineers who designed the AISF - its schedulers, liquid handlers, robotics, and the software tying them together. This is a contract position, on site in Cambridge, MA. What You'll Be Building - Monitor and maintain AISF workcells during second shift, triaging instrument faults, software errors, and run failures as they surface. - Coordinate with on-shift Research Operations scientists to prioritize recovery efforts and keep active experiments moving when multiple issues compete for attention. - Troubleshoot electro-mechanical and software systems, using judgment about when to resolve in-shift versus stabilizing and handing off to day-shift engineers for fixes that need vendor support, parts, or extended downtime. - Surface

### Senior Associate, Corporate Development - Lila Sciences
- Location: Cambridge, MA USA (unspecified)
- Salary: $140K-$186K
- Posted: 2026-04-07
- Apply: https://job-boards.greenhouse.io/lilasciences/jobs/4209731009
- Excerpt: Senior Associate, Corporate Development Cambridge, MA USA Your Impact at LILA Origins is Lila's company and asset creation arm, where Lila's partners can turn scientific vision into molecules, materials, and real-world ventures. As a Senior Associate on the Origins team, you will work directly with leadership to evaluate and advance scientific opportunities. You will build analytical frameworks, partner-facing materials, and financial models that underpin how we identify, structure, and pursue these opportunities. This is a high-impact, high-ownership role for a builder who thrives in ambiguity and wants to be close to consequential decisions at one of the most ambitious scientific companies in the world. What You'll Be Building - Build and maintain financial models and projections to evaluate scientific opportunities and inform decisions - Develop partner-facing materials, presentations, and analyses to support external conversations and deal processes, working alongside leadership and external partners - Evaluate opportunities in the context of Lila's platform, assessing scientific, commercial, and strategic fit - Support structuring and execution of ventures from early-stage diligence through deal close - Synthesize complex scientific and financial information into clear, decision-ready outputs for senior leadership - Collaborate across Lila's scientific, finance, legal, and product/revenue teams to advance active opportunities What You'll Need to Succeed - Typically 4-6 years of experience, with a background in investment banking, private equity, or growth equity, and subsequent experience in venture capital, a startup, or a similarly fast-paced environment - Bachelor's degree in a scientific or engineering discipline, or equivalent technical training - Strong financial

### Senior Simulation Engineer I/II, Robotics - Lila Sciences
- Location: Cambridge, MA USA (unspecified)
- Salary: $144K-$240K
- Posted: 2026-05-18
- Apply: https://job-boards.greenhouse.io/lilasciences/jobs/4248410009
- Excerpt: Senior Simulation Engineer I/II, Robotics Cambridge, MA USA Your Impact at LILA Lila Sciences is building autonomous science platforms that compress the cycle time of scientific discovery. The Next Gen Robotics team, within the Robotics department, is building the foundational simulation and robotic infrastructure that will power the AI Science Factory (AISF) at our 5AP facility. As we ramp toward first science later this year, simulation is becoming a load-bearing capability across both robotics production and orchestration. We are looking for a Simulation Engineer to help establish the foundation of our simulation platform. You will be a core technical contributor shaping how we design, build, and scale virtual environments - from individual scene authoring to automated, headless data generation pipelines. You will work across the full simulation stack: scene infrastructure, physics and sensor fidelity, programmatic scene construction, and sim-to-real transfer workflows. This is a high-impact, foundational role on a team being built from the ground up. You will have significant influence over tooling decisions, architectural patterns, and best practices, and your work will directly de-risk robotics development and accelerate throughput modeling for orchestration. What You'll Be Building - Design and maintain modular, reusable simulation scene libraries using well-structured USD (Universal Scene Description), including proper use of references, payloads, variants, layers, and composition arcs. - Build Python-based tooling and automation around the Omniverse Kit API ( omni.usd , omni.kit , omni.replicator ) to enable programmatic scene construction, editing, and batch processing, including headless Isaac Sim workflows for large-scale automated simulation runs

### Senior Engineer II / Staff Engineer, Electromechanical Technician - Lila Sciences
- Location: Cambridge, MA USA (unspecified)
- Salary: $137K-$218K
- Posted: 2026-05-14
- Apply: https://job-boards.greenhouse.io/lilasciences/jobs/4240297009
- Excerpt: Senior Engineer II / Staff Engineer, Electromechanical Technician Cambridge, MA USA Your Impact at LILA Lila Sciences is seeking a Electromechanical Technician to join our Hardware & Controls Engineering team. As an Electromechanical Technician at Lila, you will be the hands-on expert who turns innovative designs into reality. You'll build, assemble, and troubleshoot custom automated instruments, workcells, and experimental equipment that advance frontier research in life and physical sciences. Your work will drive rapid prototyping, enable complex R&D, and directly empower engineers, scientists, and automation specialists to translate their ideas into working solutions. You'll play a critical role as the technical link between design and execution across cross-disciplinary teams. What You'll Be Building - Assemble, install, and calibrate custom electromechanical equipment and automated systems from 3D CAD models, blueprints, mechanical drawings, and electrical schematics provided by engineering. - Support engineers and scientists in rapid prototyping test stands, fixtures, and experimental setups, including mechanical assembly, light machine work (e.g., drill presses, chop saws), and hands-on fabrication. - Perform electrical wiring, cable routing, and component mounting for automation panels, instruments, and workcells-including sensors, actuators, control boards, and pneumatic components. - Participate in integration, bring-up, and debugging of automation subsystems (mechanical, pneumatic, electrical, optical), working closely with controls and software engineers on system configuration and troubleshooting. - Execute maintenance, repairs, upgrades, and alignments on complex equipment. - Provide real-time feedback to engineering teams during builds regarding design issues or opportunities for improvement. - Maintain up-to-date documentation on builds, repairs, troubleshooting, and component history.

### Co-Op, Lab IT/OT Security Engineer - Lila Sciences
- Location: Cambridge, MA USA (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-11
- Apply: https://job-boards.greenhouse.io/lilasciences/jobs/4279721009
- Excerpt: Co-Op, Lab IT/OT Security Engineer Cambridge, MA USA Your Impact at LILA The Lab IT/OT Security Engineer Co-Op supports administration, troubleshooting, and continuous improvement of computing infrastructure inside Lila Sciences' laboratory environments. The role works at the layer that sits between corporate IT and operational technology: workstations, edge compute, lab-area networking, and instrument-adjacent systems that keep autonomous science running. Reporting to the Senior Director, OT Operations, the Co-Op works closely with the OT network architecture team, corporate IT operations, and laboratory operations. The right candidate is curious and disciplined, comfortable in a complex research environment, and interested in how technology intersects with lab automation and security. This is a real operational role within Lila's IT/OT convergence program, not a shadow-and-observe assignment. The Co-Op contributes directly to asset management, device standardization, documentation, and day-to-day lab IT support while building exposure to OT security tooling and practices that are rare at this level. What You'll Be Building - Administer and troubleshoot lab-area workstations, edge compute, and dedicated lab-network infrastructure under guidance from senior engineers. - Resolve Lab IT incidents and service requests through the enterprise ITSM platform, prioritizing experiments in progress and time-sensitive scientific work. - Provide IT-side support for laboratory instruments and automated platforms, including networking, agent deployment, and configuration alignment. - Maintain and improve Lab IT asset records in the enterprise CMDB: device tier, owner, location, configuration baseline, and lifecycle state. - Contribute to the standardized device catalog and golden image program; assist with secure onboarding of new laboratory instruments.

### ML Research Scientist I/II, Multimodal Data Extraction - Lila Sciences
- Location: Cambridge, MA USA (unspecified)
- Salary: $176K-$304K
- Posted: 2025-11-03
- Apply: https://job-boards.greenhouse.io/lilasciences/jobs/4052832009
- Excerpt: ML Research Scientist I/II, Multimodal Data Extraction Cambridge, MA USA Your Impact at LILA As a ML Research Scientist - Multimodal Data Extraction , you will advance Lila's vision of scientific superintelligence by developing foundation models that autonomously read, interpret, and structure scientific knowledge across text, images, and experimental data in the physical sciences. Your research will help unify the world's scientific information into machine-understandable form, powering reasoning, prediction, and autonomous discovery across materials science and chemistry. What You'll Be Building - Research and develop AI systems that extract and structure knowledge from diverse scientific sources. - Design and fine-tune large language, multi-modal and specialized models for factual, interpretable data extraction. - Build scalable pipelines for unstructured and heterogeneous scientific data , integrating text, tables, and visuals. - Collaborate with domain experts to align extracted data with real-world discovery workflows. - Publish research that advances the state of the art in multimodal understanding and AI-driven knowledge extraction. What You'll Need to Succeed - PhD (or equivalent research experience) in Computer Science, Chemistry, Materials Science, or related field. - Expertise in machine learning , NLP , and vision-language modeling using PyTorch and Hugging Face Transformers . - Proven ability to train, fine-tune, and evaluate LLMs and multimodal models for scientific data extraction. - Strong understanding of data structures and representations used in the physical sciences. - Demonstrated research impact through publications, preprints, or open-source work (e.g., NeurIPS, ICLR, ICML, ACL, EMNLP, Scientific Journals). Bonus Points For - Experience with multimodal fusion

### Engineer II /Senior Software Engineer, Simulation - Lila Sciences
- Location: Cambridge, MA USA (unspecified)
- Salary: $120K-$192K
- Posted: 2026-05-27
- Apply: https://job-boards.greenhouse.io/lilasciences/jobs/4254265009
- Excerpt: Engineer II /Senior Software Engineer, Simulation Cambridge, MA USA Your Impact at LILA Lila Sciences is building autonomous science platforms that compress the cycle time of scientific discovery. The Robotics and Scheduling teams develop the scheduling and coordination infrastructure that drives our AI Science Factory, commanding instruments, managing robotic fleets, and maximizing throughput across complex, multi-step lab workflows. We are looking for a Software Engineer to build and maintain a discrete event simulation platform that serves as a fast, lightweight complement to our high-fidelity robotics simulations. Your work will be the primary testbed for iterating on scheduling strategies, fleet coordination algorithms, and capacity planning, exercising the same core decision-making code that runs in production at a fraction of the cost and time. You will work closely with the Robotics and Scheduling teams to ensure the simulation remains a trustworthy, reproducible tool for driving real engineering decisions. What You'll Be Building - Design and maintain a low-fidelity discrete event simulation platform modeling lab workflows, instrument states, and robotic transport. - Architect the platform so production scheduling and fleet coordination code runs with minimal changes. - Build experiment tracking and reproducibility infrastructure so every run is logged, versioned, and comparable. - Develop tooling for parameter sweeps, scheduler benchmarks, and capacity planning across lab configurations and workloads. - Partner with Scheduling and Robotics teams to validate new scheduling and coordination strategies. - Ship clean, well-documented simulation APIs other engineers can build on. What You'll Need to Succeed - 1-3 years of hands-on experience

### Software Engineer I, Instrument Software - Lila Sciences
- Location: Cambridge, MA USA (unspecified)
- Salary: $108K-$140K
- Posted: 2026-03-20
- Apply: https://job-boards.greenhouse.io/lilasciences/jobs/4186444009
- Excerpt: Software Engineer I, Instrument Software Cambridge, MA USA Your Impact at LILA Lila Sciences is hiring a Software Engineer to develop the next generation of Lab Instrument Integration Software, which is a foundational component of our AI-enabled laboratory. We are looking for self-motivated problem solvers who enjoy sitting at the often tricky interfaces between software, science, and hardware to deliver powerful solutions that will accelerate science. What You'll Be Building - Lab Instrument Software Development: Develop robust software to enable communication between robotics and automation hardware (e.g., robotic arms, liquid handlers, sensors) and the control software, ensuring reliable and efficient hardware integration. - System Integration: Seamlessly integrate lab instruments into our Next Generation, AI-enabled lab automation infrastructure, managing complex interfaces between cloud and edge infrastructure, and device execution. - Testing and Debugging: Perform rigorous testing, debugging, and troubleshooting of drivers to identify, isolate, and rectify performance issues, bugs, and compatibility challenges. - Technical Documentation: Create, update, and maintain clear, comprehensive documentation for driver interfaces, APIs, and integration methods, facilitating ease of use by internal teams and end-users. - Collaboration and Support: Work closely with cross-functional teams, including hardware engineers, software developers, product managers, and end-users, providing technical support and resolving integration challenges promptly. - AI driven development : work with state of the art coding models and development infrastructure to improve the speed and quality of software delivery. What You'll Need to Succeed - Proficiency in Python , C#/.NET, or other programming languages or frameworks is essential - Demonstrated ability

### Contractor, Facility Layout & 3D Modeling Specialist - Lila Sciences
- Location: Cambridge, MA USA (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-22
- Apply: https://job-boards.greenhouse.io/lilasciences/jobs/4246978009
- Excerpt: Contractor, Facility Layout & 3D Modeling Specialist Cambridge, MA USA Your Impact at LILA Lila Sciences is building the future of autonomous science, and our laboratory facilities are at the center of that work. The 3D Modeler will own the SketchUp models that represent these spaces, from new lab buildouts to existing facility documentation. The models drive design reviews, spatial planning decisions, and workcell layout work across the Autonomous Science Platform. Working on the Automated Systems Engineering team, the 3D Modeler will translate facility design intent, equipment footprints, and operational constraints into accurate, up-to-date SketchUp models. The role partners closely with engineers, architects, and operations leads to keep models current as designs evolve and as-built conditions change. This is a part-time contract role based out of the Alewife office in Cambridge, with on-site presence required during ramp-up and hybrid flexibility over time. What You'll Be Building - Build and maintain SketchUp models for new lab buildouts and existing facility as-builts. - Translate architectural drawings, equipment specs, and field measurements into accurate 3D geometry. - Update models as designs evolve, capturing revisions to layouts, equipment, and workcells. - Produce model views, renderings, and exports that support design reviews and stakeholder alignment. - Coordinate with engineers, architects, and operations leads to validate model accuracy against real-world conditions. - Organize model files, components, and version history so the team can navigate and reuse assets. What You'll Need to Succeed - Demonstrated experience producing production-quality 3D models in SketchUp. - Proficiency interpreting architectural drawings,

### Co-Op, PS Experiment, LNP Formulations - Lila Sciences
- Location: Cambridge, MA USA (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-11
- Apply: https://job-boards.greenhouse.io/lilasciences/jobs/4278675009
- Excerpt: Co-Op, PS Experiment, LNP Formulations Cambridge, MA USA Your Impact at LILA We are seeking an Intern to join our Chemistry team. This role will focus on assisting in the design and development of advanced microfluidic platforms for the controlled synthesis and characterization of lipid nanoparticles (LNPs) and other nanocarriers. The ideal candidate will have hands-on expertise in various LNP formulation techniques, downstream characterization assays, and experience with automation technologies. Your work will bridge the physical sciences and bioanalytical domains, working closely with others across the chemistry, biology, machine learning, and data science teams to help establish next-generation tools for therapeutic development and delivery. What You'll Be Building - Contribute to building Lila's lipid nanoparticle (LNP) platform by supporting formulation efforts. - Will be responsible for formulating and characterizing novel LNPs using microfluidic platforms, with a focus on high throughput screening to select and optimize lead formulations. - Routinely run downstream characterization assays for nucleic acid therapeutics (including DLS, ribogreen assay, TNS assay, etc.) - Collaborate with chemists, material scientists, engineers, and data scientists to document systems, share insights, and refine best practices in autonomous flow chemistry. - Aid in the development of drug delivery systems beyond standard LNPs, including targeted nanoparticles (antibody/ligand decoration, evaluating different linker chemistries, etc.). What You'll Need to Succeed - BSc or MSc candidate in Chemical Engineering, Biomedical Engineering, Pharmaceutical Sciences, or a related field. - Prior hands on experience with lipid nanoparticle formulations, microfluidic device development, or other drug delivery systems. - Data analysis

### Principal Technical Program Manager - Lila Sciences
- Location: Cambridge, MA USA (unspecified)
- Salary: $204K-$270K
- Posted: 2025-12-22
- Apply: https://job-boards.greenhouse.io/lilasciences/jobs/4087979009
- Excerpt: Principal Technical Program Manager Cambridge, MA USA Your Impact at LILA Lila Sciences is an innovative early-stage company, and we're seeking a Principal Technical Program Manager to help lead our groundbreaking efforts in technology development. In this role, you will connect cutting-edge research with program execution, ensuring our initiatives not only meet current project needs but also pave the way for a transformative future. What You'll Be Building - Guide the overall program, ensuring strategic alignment and translating research insights into actionable initiatives. - Evaluate and integrate emerging technologies to shape and refine program objectives in a dynamic environment. - Lead technical projects, ensuring the robustness and scalability of the technology stack while aligning with organizational goals. - Manage and maintain data integrity and relevance, collaborating across teams to set and monitor performance metrics. - Serve as the key interface between technical and business teams, effectively communicating complex outcomes and securing necessary resources. - Implement best practices for rapid experimentation and iteration, facilitating efficient and agile program progression. - Develop clear documentation and reporting to communicate vision, track progress, and align initiatives with organizational priorities. - Foster a culture of continuous innovation and experimentation by staying informed about technological advancements and recommending strategic improvements. What You'll Need to Succeed - Bachelor's or Master's degree in Computer Science, Engineering, or a related field. - Proven experience in program management across various areas. - Strong analytical and problem-solving skills, with the ability to turn technical requirements into actionable program roadmaps. - Excellent

### Director, Instrument Development Acceleration - Lila Sciences
- Location: Cambridge, MA USA (unspecified)
- Salary: $232K-$304K
- Posted: 2026-04-01
- Apply: https://job-boards.greenhouse.io/lilasciences/jobs/4205560009
- Excerpt: Director, Instrument Development Acceleration Cambridge, MA USA Your Impact at LILA Lila Sciences is seeking a relentless executor and strategic operator to spearhead our Instrument Development initiatives and lead our Virtual Lab Team. As the Director of Instrument Development Acceleration, you will be responsible for getting instruments online, fast, reliably, and at scale. The role is for someone who thrives in high-throughput environments and measures success in instruments shipped. What You'll Be Building - Set clear expectations, remove obstacles quickly, and keep the team focused on delivery over deliberation. - Own the rapid design and development of laboratory instruments across the full lifecycle, from concept to operational in the lab, at high volume. - Architect and implement integration frameworks connecting virtual laboratory environments with physical instrumentation and robotic systems. - Maintain rigorous hardware-software integration standards, system performance benchmarks, and quality assurance processes without letting them become bottlenecks. - Make pragmatic technical decisions across software, hardware, and systems integration that keep momentum, escalating only what truly needs escalation. - Work tightly with AI researchers, software engineers, and robotics teams to drive fast, efficient system integration and deployment. - Communicate clearly and concisely on status, blockers, and decisions to stakeholders at all levels. - Build and refine lean development practices that prioritize speed, system reliability, and repeatable quality assurance. What You'll Need to Succeed - Bachelor's or Master's degree in Computer Science, Engineering, Biomedical Engineering, or a related field. Ph.D. is a plus but not required. - At least 10 years in

### Director, Data Platform Engineering - Lila Sciences
- Location: San Francisco, CA USA (unspecified)
- Salary: $232K-$346K
- Posted: 2026-04-01
- Apply: https://job-boards.greenhouse.io/lilasciences/jobs/4202443009
- Excerpt: Director, Data Platform Engineering San Francisco, CA USA Your Impact at LILA Lila is seeking a highly motivated and experienced engineering leader to lead a team responsible for our Lila's product data platform. You will own the data platform and infrastructure end-to-end - architecture, delivery, reliability, and developer/data scientist experience. Our mission is to deliver Scientific Super Intelligence through a reliable, scalable, and self-service infrastructure for data ingestion, storage, processing, and interaction - enabling AI/ML, product teams, and scientists to build data-intensive applications with confidence and speed. Our platform supports analytical and machine learning workloads across Lila, serving autonomous DBTL cycles, instrument data pipelines, and AI inference workflows. You will be responsible for building and leading a team of talented engineers, driving technical strategy, and ensuring the scalability and performance of our data management and data serving capabilities of our Data Platform. You will work closely with data scientists, data engineers, lab scientists, and product teams to understand their needs and deliver innovative solutions that leverage the power of cutting edge data processing technologies. What You'll Be Building - Team Leadership: Build, mentor, and manage a high-performing team of 8-12 data engineering experts. Evaluate and adopt modern data infrastructure - including real-time streaming (Kafka, Flink), columnar engines (DuckDB, ClickHouse), lake house, and cloud-native object storage architectures; Foster a culture of collaboration, innovation, and continuous improvement; Provide technical guidance and mentorship to team members, promoting their professional growth; Conduct performance reviews, provide feedback, and identify opportunities for training and development; Manage

### Senior Software Engineer, Data - Lila Sciences
- Location: Cambridge, MA USA; San Francisco, CA USA (unspecified)
- Salary: $144K-$288K
- Posted: 2026-05-26
- Apply: https://job-boards.greenhouse.io/lilasciences/jobs/4250077009
- Excerpt: Senior Software Engineer, Data Cambridge, MA USA; San Francisco, CA USA Your Impact at LILA Join us in shaping the future of science! We are seeking Senior Software Engineers with backend experience to join our Data Platform Team (Data), where you'll collaborate with software engineers, lab scientists, and machine learning engineers to build cutting-edge tools for automated scientific analysis and more. If you thrive in a collaborative, fast-paced environment and bring best practices in git, development workflows, and user-centered design, we want to hear from you! About The Team The Data Platform Team (Data) builds and support the data systems that underpins Lila's AI Science Factory™. Every experiment run in our labs, every measurement from an instrument, and every signal from our operational systems flows through the platform they build. Their work spans real-time ingestion, large-scale analytical storage, workflow orchestration, and the self-service tools scientists, engineers, and ML teams use to go from raw measurements to discoveries. They build the data backbone of Scientific Superintelligence™, so the science moves faster and each experiment makes the next one smarter. What You'll Be Building - Design & Build APIs: Design and build high-performance, secure, and well-documented APIs that integrate with AI-driven applications. - Database Architecture & Scaling: Develop schemas and manage diverse data systems (SQL, NoSQL, Vector DBs, and others) for optimal performance and scalability. - Performance & Reliability: Diagnose and optimize system bottlenecks, ensuring high availability and low-latency performance across large-scale workloads. - Cloud & Infrastructure: Leverage AWS services, Kubernetes and

### Principal Software Engineer, Data - Lila Sciences
- Location: Cambridge, MA USA; San Francisco, CA USA (unspecified)
- Salary: $204K-$348K
- Posted: 2026-05-29
- Apply: https://job-boards.greenhouse.io/lilasciences/jobs/4250071009
- Excerpt: Principal Software Engineer, Data Cambridge, MA USA; San Francisco, CA USA Your Impact at LILA Join us in shaping the future of science! We are seeking Principal Software Engineers with backend experience to join our Data Platform Team (Data), where you'll collaborate with software engineers, lab scientists, and machine learning engineers to build cutting-edge tools for automated scientific analysis and more. If you thrive in a collaborative, fast-paced environment and bring best practices in git, development workflows, and user-centered design, we want to hear from you! About The Team The Data Platform Team (Data) builds and support the data systems that underpins Lila's AI Science Factory™. Every experiment run in our labs, every measurement from an instrument, and every signal from our operational systems flows through the platform they build. Their work spans real-time ingestion, large-scale analytical storage, workflow orchestration, and the self-service tools scientists, engineers, and ML teams use to go from raw measurements to discoveries. They build the data backbone of Scientific Superintelligence™, so the science moves faster and each experiment makes the next one smarter. What You'll Be Building - Design & Build APIs: Design and build high-performance, secure, and well-documented APIs that integrate with AI-driven applications. - Database Architecture & Scaling: Develop schemas and manage diverse data systems (SQL, NoSQL, Vector DBs, and others) for optimal performance and scalability. - Performance & Reliability: Diagnose and optimize system bottlenecks, ensuring high availability and low-latency performance across large-scale workloads. - Cloud & Infrastructure: Leverage AWS services, Kubernetes and

### Research Associate, Protein Science, Cell-Free Expression - Lila Sciences
- Location: Cambridge, MA USA (unspecified)
- Salary: $72K-$96K
- Posted: 2026-05-02
- Apply: https://job-boards.greenhouse.io/lilasciences/jobs/4219337009
- Excerpt: Research Associate, Protein Science, Cell-Free Expression Cambridge, MA USA Your Impact at LILA Lila is seeking a dedicated and skilled Research Associate, Protein Sciences to join our high through-put Cell-Free Expression platform. As a Research Associate, you will play a vital role in our interdisciplinary research efforts focused on building and automating artificial intelligence-driven processes across a variety of valuable applications. What You'll Be Building - Development and refinement of cell-free expression systems for efficient protein synthesis. - Optimize conditions for high-yield and high-quality protein production - Prepare media and solutions for cell culture and processing - Perform molecular cloning, mutagenesis, and other genetic manipulation for strain development. - Demonstrate proficiency in operating and utilizing liquid handlers and robotic systems for automated laboratory processes. - Collaborate with biologists, machine learning scientists, software developers, and other engineers to develop and optimize AI-driven processes. - Track and maintain excellent data records in formats amenable to computational workflows. - Analyze and interpret experimental data, prepare technical reports, and present findings to internal teams and stakeholders. What You'll Need to Succeed - A bachelor's or master's degree in biochemistry, molecular biology, biotechnology, biological engineering, chemical engineering, or a related field. - 1-3 years of laboratory experience - Experience with cell culture techniques, including growth, maintenance, and transformation, across a variety of cell lines - Familiarity with plate-based assays - Excellent attention to detail, organization, and communication Bonus Points For - Skilled in cloning, expression and optimization of protein - Data analysis using relevant software

### Staff / Principal Automated Systems Engineer - Lila Sciences
- Location: Cambridge, MA USA (unspecified)
- Salary: $163K-$228K
- Posted: 2026-01-28
- Apply: https://job-boards.greenhouse.io/lilasciences/jobs/4110350009
- Excerpt: Staff / Principal Automated Systems Engineer Cambridge, MA USA Your Impact at LILA Lila Sciences is seeking a highly skilled, hands-on Automated Systems Engineer to design, develop, and implement automation solutions across a broad range of laboratory workflows. Reporting to the Automated Systems Engineering Lead, this role is critical to building scalable, high-throughput automated workcells that translate scientific intent into reliable, real-world systems. This role serves as a steward of scientific and cross-functional requirements-working closely with scientists, hardware, controls, and software teams to define scope, align interfaces, and drive projects from concept through deployment. The successful candidate will actively partner with scientific partners helping shape the technical direction of experimental automation in a fast-moving research environment. What You'll Be Building Technical Responsibilities - Actively contribute to hands-on development, testing, and implementation of automated workflows in the lab. - Develop scalable automated solutions for synthesis and characterization workflows, supporting a variety of material systems such as porous materials, catalysts, coatings, and advanced composites. - Define and document standardized laboratory workflows, operating procedures, and system architectures to support reproducibility and scale. - Lead and participate in equipment- and system-level FMEAs to improve robustness and operational safety. - Assist in the troubleshooting and optimization of automated systems for throughput, reliability, and adaptability across diverse workflows. - Design failure detection methods and maintain laboratory automation systems to ensure robust operations. Project Innovation - Translate scientific objectives into well-scoped technical requirements and automation architectures. - Act as a connective tissue between science, hardware, controls, and

### Contractor, Robotics Engineer - Lila Sciences
- Location: Cambridge, MA USA (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-13
- Apply: https://job-boards.greenhouse.io/lilasciences/jobs/4240268009
- Excerpt: Contractor, Robotics Engineer Cambridge, MA USA Your Impact at LILA Lila's Autonomous Science Platform is building a closed-loop, AI-driven scientific facility, and inter- and intra-cell transport in the AISF is a critical bottleneck on that path. We're bringing on a Robotics Engineer on a temporary basis to help unblock it. Sitting on the Next Gen Robotics team and based at Alewife, you'll work hands-on across the robotics stack - physical hardware and simulation - to integrate, tune, and debug systems that have to run reliably in production. The work spans ROS2 development, motion planning, and real-world hardware integration, with upstream science projects (including 1023-009-GRIDv1) gated on what you ship. This is a 3-month contract with potential to extend and potential to convert to full-time based on performance and ongoing need. What You'll Be Building - Develop ROS2 nodes, launch files, and message/service/action interfaces to support inter- and intra-cell transport workflows - Bring up and integrate physical robotic systems - including arms, AMRs, or mobile manipulators - into the AISF environment - Build and maintain simulation environments in Isaac Sim and/or Gazebo to de-risk hardware deployments before they hit the floor - Debug hardware and software integration failures end-to-end: kinematics, calibration, timing, and sensor issues - Contribute domain depth in motion planning, navigation, localization, perception, or sensor fusion as the team's needs evolve - Document configurations, failure modes, and operating procedures so the team can scale and maintain what you deploy What You'll Need to Succeed - Bachelor's degree or higher

### Senior Automated Systems Engineer - Lila Sciences
- Location: Cambridge, MA USA (unspecified)
- Salary: $119K-$182K
- Posted: 2026-01-23
- Apply: https://job-boards.greenhouse.io/lilasciences/jobs/4110339009
- Excerpt: Senior Automated Systems Engineer Cambridge, MA USA Your Impact at LILA Lila Sciences is seeking a highly skilled, hands-on Automated Systems Engineer to design, develop, and implement automation solutions across a broad range of laboratory workflows. Reporting to the Automated Systems Engineering Lead, this role is critical to building scalable, high-throughput automated workcells that translate scientific intent into reliable, real-world systems. This role serves as a steward of scientific and cross-functional requirements-working closely with scientists, hardware, controls, and software teams to define scope, align interfaces, and drive projects from concept through deployment. The successful candidate will actively partner with scientific partners helping shape the technical direction of experimental automation in a fast-moving research environment. What You'll Be Building - Actively contribute to hands-on development, testing, and implementation of automated workflows in the lab. - Develop scalable automated solutions for synthesis and characterization workflows, supporting a variety of material systems such as porous materials, catalysts, coatings, and advanced composites. - Define and document standardized laboratory workflows, operating procedures, and system architectures to support reproducibility and scale. - Lead and participate in equipment- and system-level FMEAs to improve robustness and operational safety. - Assist in the troubleshooting and optimization of automated systems for throughput, reliability, and adaptability across diverse workflows. - Design failure detection methods and maintain laboratory automation systems to ensure robust operations. Project Innovation - Translate scientific objectives into well-scoped technical requirements and automation architectures. - Act as a connective tissue between science, hardware, controls, and software-ensuring interfaces are clear

### Principal Software Engineer, Instrument Simulations - Lila Sciences
- Location: Cambridge, MA USA (unspecified)
- Salary: $204K-$270K
- Posted: 2026-03-20
- Apply: https://job-boards.greenhouse.io/lilasciences/jobs/4186530009
- Excerpt: Principal Software Engineer, Instrument Simulations Cambridge, MA USA Your Impact at LILA Lila Sciences is seeking a Principal Software Engineer, Instrument Simulations to architect and lead the development of our next-generation laboratory automation platform. In this role, you'll be responsible for designing the simulation infrastructure and integration layer that connects AI-driven experimental design with physical robotic systems, enabling closed-loop scientific discovery at unprecedented scale. What You'll Be Building - Architect and implement high-fidelity simulation environments that model complex laboratory instrumentation, fluidics, and robotic workflows - Design robust integration patterns between heterogeneous hardware systems, ensuring reliable and safe execution of fully automated experiments - Lead the development of APIs and interfaces that enable scientists and AI agents to seamlessly interact with sophisticated automation infrastructure - Maintain and help establish best practices for hardware-software integration, system monitoring, and CI/CD in laboratory automation contexts for all newly developed systems - Mentor engineers, likely leading a small agile team What You'll Need to Succeed - Bachelor's or Master's degree in Computer Science, Engineering, or a related field: Background that supports technical and leadership capabilities. - 10+ years of software development experience, including 5+ years in a leadership role: Demonstrates ability to lead and manage complex projects and engineering teams. - Proven experience in architecting and directing large-scale software projects: Skilled in designing and leading the development of scalable, reliable, and maintainable systems. - Strong proficiency in programming languages such as C++, Python, or Java: Capable of setting technical standards and guiding development practices. -

### Senior Accountant - Lila Sciences
- Location: Cambridge, MA USA (unspecified)
- Salary: $88K-$126K
- Posted: 2026-03-27
- Apply: https://job-boards.greenhouse.io/lilasciences/jobs/4195605009
- Excerpt: Senior Accountant Cambridge, MA USA Your Impact at LILA As a Senior Accountant at Lila, you'll play a pivotal role in scaling and refining our financial operations during a period of rapid growth and innovation. You'll own core accounting functions, help implement best-in-class processes, and ensure timely, accurate financial reporting across the company. Partnering closely with Finance, Operations, and cross-functional teams, you'll bring rigor, insight, and systems thinking to support strategic decisions and maintain financial excellence. This is a high-impact opportunity to build and scale the accounting foundation of a company redefining the future of science. What You'll Be Building - Support the month-end close process, including preparing journal entries, reconciliations, and reporting - Ensure accurate application of US GAAP, especially around fixed assets and leases - Partner with lab ops, procurement, and other departments on fixed asset and lease workflows, tracking, and accounting - Support audits and compliance efforts, including preparation of schedules and coordination with external auditors - Drive improvements in accounting systems and processes (e.g., ERP optimization, automation of reconciliations) What You'll Need to Succeed - CPA license - Bachelor's degree in Accounting, Finance, or related field - 4+ years of accounting experience, with at least 2 years in public accounting or a high-growth tech/life sciences company - Strong knowledge of US GAAP - Experience with accounting systems (e.g., NetSuite or similar ERP) - Advanced Excel skills and a high degree of attention to detail Bonus Points For - Experience with Fixed Asset Accounting, Lease Accounting (ASC

### Director, Discovery Chemistry - Lila Sciences
- Location: Cambridge, MA USA (unspecified)
- Salary: $184K-$246K
- Posted: 2026-03-25
- Apply: https://job-boards.greenhouse.io/lilasciences/jobs/4192648009
- Excerpt: Director, Discovery Chemistry Cambridge, MA USA Your Impact at LILA The Director, Discovery Chemistry will lead the design, synthesis, and optimization of small molecules across Lila's discovery platform, with a primary focus on organic synthesis, molecular design, and scalable chemistry execution . This leader will build and scale a world-class molecular chemistry program that translates AI-generated molecular hypotheses into high-quality, synthetically tractable, and functionally validated chemical matter. Working closely with Lila's AI, automation, computational, biology, and platform teams, this role will establish the chemistry infrastructure required to rapidly progress novel molecules from concept to validated candidates across a broad range of discovery efforts. The Director will drive synthetic strategy, route design, analog generation, molecular property optimization, and chemistry-enabled innovation, while enabling seamless integration with robotic synthesis and platform-based experimentation. This leader will play a central role in shaping Lila's molecular discovery engine by combining deep expertise in synthetic organic chemistry, molecular design, and data-enabled experimentation to accelerate the discovery of high-value molecules for therapeutic and broader platform applications. What You'll Be Building - Drive discovery chemistry strategy across discovery programs, with strong emphasis on small molecule design, synthetic innovation, analog generation, and optimization of chemical matter. - Lead the design and execution of synthetic routes for novel small molecules, emphasizing speed, robustness, scalability, and compatibility with automated synthesis platforms. - Develop and implement efficient workflows for molecular design, compound prioritization, analog generation, and iterative design-make-test cycles in collaboration with AI and computational teams. - Partner closely with automation and platform

### Staff Engineer, Data Platform - Lila Sciences
- Location: Cambridge, MA USA; San Francisco, CA USA (unspecified)
- Salary: $192K-$272K
- Posted: 2026-06-02
- Apply: https://job-boards.greenhouse.io/lilasciences/jobs/4222065009
- Excerpt: Staff Engineer, Data Platform Cambridge, MA USA; San Francisco, CA USA Your Impact at LILA Lila Sciences is building the software platform that makes automated scientific discovery possible. At the heart of that platform is data: raw outputs from laboratory instruments, experimental model results, curated public datasets, and the scientific literature that contextualizes all of it. The data platform team is responsible for the infrastructure that moves, stores, transforms, and surfaces this data across the organization. We are looking for a Staff Engineer to set the technical direction for our core data infrastructure: ingestion frameworks, storage architecture, orchestration patterns, and the interfaces that let scientists and ML researchers work with data reliably at scale. You will work closely with software engineers, machine learning researchers, and lab scientists to understand requirements and translate them into durable platform capabilities. This is a role for engineers who care deeply about how data systems are designed. You will establish the architectural patterns and engineering standards the broader team builds on, mentor engineers across the data platform group, and make technical decisions that compound over time. What You'll Be Building - Data Platform Architecture: Design and evolve the core data infrastructure that ingests, stores, and serves data across scientific and ML workflows. Make principled build-vs-buy decisions and establish architectural patterns adopted by the broader engineering organization. - Ingestion and Integration: Build reliable pipelines that bring in data from diverse sources: laboratory instruments, public scientific datasets, and external research literature. Own the interfaces between upstream producers

### Head of Software Product - Lila Sciences
- Location: Cambridge, MA USA (unspecified)
- Salary: $400K-$500K
- Posted: 2026-04-08
- Apply: https://job-boards.greenhouse.io/lilasciences/jobs/4205624009
- Excerpt: Head of Software Product Cambridge, MA USA Your Impact at LILA As the Head of Software Produc t you will serve as the primary architect of our software product strategy. You will lead the development of our “Agentic Superscience” software-the foundational platform designed to reinvent the scientific method through AI. Reporting directly to the Chief Revenue & Product Officer, you will be responsible for transforming complex scientific workflows into a scalable, world-class software ecosystem. You will set the roadmap, build the processes, and the culture necessary to deliver Lila's most critical competitive advantage. As a member of the leadership team, you will play a critical role in shaping the culture, technical strategy, and therapeutic impact of our software. What You'll Be Building - The Agentic Platform : Lead the roadmap and build of our foundational software platform that enables AI agents to conduct, analyze, and iterate on complex materials, chemistry, and biology experiments. - A Cross-Functional Engine: Create the integrated framework that allows Software, ML, and Wet-lab teams to work in a continuous, high-performance loop. - Customer-Centric Interfaces: Deliver reliable, intuitive interfaces and high-performance endpoints that make scientific superintelligence accessible to diverse users. - Operational Excellence: Own the product lifecycle from discovery to delivery. Implement robust frameworks for prioritization that balance rapid innovation with enterprise-grade reliability. - The Product Org & Executive Voice: You will build the frameworks for high-level communication, serving as the authoritative voice for the software product and providing the strategic insights that will influence Lila's overall

### Vice President, Head of Marketing - Lila Sciences
- Location: Cambridge, MA USA (unspecified)
- Salary: $228K-$304K
- Posted: 2026-02-25
- Apply: https://job-boards.greenhouse.io/lilasciences/jobs/4146076009
- Excerpt: Vice President, Head of Marketing Cambridge, MA USA Your Impact at LILA We're seeking a Vice President / Head of Marketing focused on accelerating commercial growth and strategic partnerships. This role fuels pipeline, enables revenue, and increases partner-driven adoption across priority industry segments. Reporting line is flexible and can sit under our Chief Communication and works directly with the CEO/Founder, with day-to-day collaboration across Sales, Partnerships, Revenue, Product, and Scientific leadership. You will define and execute marketing motions that translate frontier science and technical capabilities into enterprise-ready programs that open doors, build trust, and close. What You'll Be Building Drive commercial demand and pipeline - Build and run an integrated demand engine targeting senior scientific and business buyers (R&D leadership, innovation executives, technical decision-makers). - Develop account-based marketing programs for enterprise and strategic accounts. - Plan and optimize channel mix across digital, field events, executive programs, and partner-led efforts. - Own reporting and iteration loops that connect marketing activity to pipeline outcomes. Enable partnerships and ecosystem growth - Create go-to-market motions with partners that generate qualified introductions and joint opportunities. - Develop partner-facing materials, co-marketing kits, and joint event strategies. - Identify and cultivate ecosystems that matter to LILA's commercial expansion (scientific communities, industry networks, and mission-aligned institutions). Build segment-specific positioning and sales enablement - Translate LILA's technical platform into clear, differentiated value propositions for priority verticals. - Partner with Commercial leadership to define ICPs, buyer personas, and qualification narratives. - Deliver sales enablement: pitch narratives, technical collateral, case studies,

### Machine Learning Scientist I/II, Scientific Reasoning - Lila Sciences
- Location: Cambridge, MA USA (unspecified)
- Salary: $176K-$304K
- Posted: 2025-10-06
- Apply: https://job-boards.greenhouse.io/lilasciences/jobs/4031437009
- Excerpt: Machine Learning Scientist I/II, Scientific Reasoning Cambridge, MA USA Your Impact at LILA As a Machine Learning Scientist focused on Scientific Reasoning, you will help pioneer the next generation of AI systems capable of reasoning like a scientist. You'll design novel frameworks that push the boundaries of LLM-based reasoning methods - while also implementing scalable frameworks that integrate with Lila's platforms. This role bridges deep theoretical thinking with practical ML engineering, enabling breakthroughs in how scientific hypotheses are generated, tested, deployed and optimized. What You'll Be Building - Design and formalize frameworks for scientific reasoning with LLMs , including structured prompting, reasoning chains, and test-time compute. - Explore and implement methods for in-context learning, self-reflection, and adaptive reasoning in scientific discovery workflows. - Build scalable model prototypes that can be deployed to solve frontier scientific problems. - Collaborate with scientists and engineers to encode domain knowledge into reasoning systems that integrate symbolic and statistical approaches. What You'll Need to Succeed - PhD (preferred) or equivalent research/industry experience in Computer Science, Machine Learning, AI, Engineering, Materials Science or related fields. - Strong programming skills in Python with deep expertise in LLM frameworks (PyTorch, HuggingFace Transformers, LangChain, LlamaIndex , and related toolkits). - Expertise in LLM reasoning methods : in-context learning, test-time compute, chain-of-thought, or tool-augmented reasoning. - Ability to balance theoretical research with practical ML engineering to deliver scalable solutions. Bonus Points For - Research experience in causal reasoning, symbolic AI, or probabilistic programming . - Contributions to open-source LLM reasoning

### Contract, Lab Operations Specialist I (2nd shift) - Lila Sciences
- Location: Cambridge, MA USA (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-20
- Apply: https://job-boards.greenhouse.io/lilasciences/jobs/4246299009
- Excerpt: Contract, Lab Operations Specialist I (2nd shift) Cambridge, MA USA Your Impact at LILA Lila Sciences is seeking a Lab Operations Specialist I to support second-shift operations within our AI Science Factory (AISF) environments. This role is critical to maintaining the operational backbone of our laboratories, ensuring that scientific workflows, automation platforms, and experimental teams can operate continuously and without interruption. Working within a high-throughput, rapidly scaling environment, you will help translate operational needs into reliable day-to-day execution by maintaining organized lab spaces, supporting material flow, and ensuring that laboratory systems remain ready for ongoing work. This is an excellent opportunity for someone interested in laboratory operations, logistics, and supporting advanced scientific and automation systems in a fast-paced research environment. What You'll Be Building - Maintain operational readiness of laboratory environments during second shift, ensuring spaces support ongoing scientific and automated workflows - Manage consumables and material flow, including restocking, inventory monitoring, and staging materials for upcoming experiments - Support laboratory service programs, including glasswash coordination, waste handling, and lab coat management - Assist with receiving, organizing, and distributing materials, samples, and small equipment across lab spaces - Identify and resolve routine operational issues, escalating more complex problems to appropriate teams (LabOps, Sustained Engineering, EHS) - Document work and communicate updates to ensure continuity between shifts and visibility into ongoing lab operations - Work within established systems (e.g., inventory platforms, ticketing tools) to support tracking and coordination of lab activities - Collaborate cross-functionally with scientific, engineering, and operations teams to

### Research Scientist I/II, Statistical Mechanics and Dynamics - Lila Sciences
- Location: Cambridge, MA USA (unspecified)
- Salary: $176K-$234K
- Posted: 2025-10-06
- Apply: https://job-boards.greenhouse.io/lilasciences/jobs/4031471009
- Excerpt: Research Scientist I/II, Statistical Mechanics and Dynamics Cambridge, MA USA Your Impact at LILA Your role in our Physical Sciences division will focus on designing and implementing state-of-the-art simulation approaches to model transport, kinetics, rare events, and reaction networks, and integrating them with AI-driven platforms for materials discovery. Your work will be integral to our efforts in predicting, designing, and controlling the behavior of complex materials and molecular systems, and their acceleration via agentic AI. You will partner with diverse teams at Lila, including machine learning experts working on scientific superintelligence and materials science experts performing real-world experiments. What You'll Be Building - Develop and extend molecular dynamics and Monte Carlo algorithms to capture rare events, non-equilibrium processes, transport phenomena, and mapping complex reaction networks. - Build scalable simulation workflows that integrate statistical mechanics methods with machine learned interatomic potentials and agentic AI frameworks. - Design methods for coupling dynamics simulations with experimental observables to enable closed-loop verification and discovery with automated labs. - Collaborate with computational scientists, machine learning experts, and platform engineers to advance the fidelity and scalability of simulation-driven materials discovery. - Establish reproducible, modular software pipelines for statistical mechanics and dynamics simulations that can be deployed on HPC and cloud-based infrastructure. What You'll Need to Succeed - PhD or equivalent research/industry experience in Physics, Chemistry, Chemical Engineering, Mechanical Engineering, Applied Mathematics, or related fields. - Strong background in statistical mechanics, free energy calculations, reaction mapping, non-equilibrium dynamics, and rare-event sampling. - Demonstrated expertise with molecular dynamics,

### Senior Software Engineer, ML Research - Lila Sciences
- Location: Cambridge, MA USA (unspecified)
- Salary: $148K-$210K
- Posted: 2025-10-06
- Apply: https://job-boards.greenhouse.io/lilasciences/jobs/4031328009
- Excerpt: Senior Software Engineer, ML Research Cambridge, MA USA Your Impact at LILA We're hiring a Senior Software Engineer to team with our Machine Learning Engineers and Researchers to build software that powers Lila's ML workflows and research tooling. You will be on a team of software engineers that work alongside machine learning experts to develop, support, and maintain Lila's ML libraries and tools. What You'll Be Building - Design and build high-performance, secure, and well-documented Machine Learning libraries that implement the algorithms designed by machine learning researchers and engineers. - CI/CD pipelines and integration tests for ML workflows. - Architect repository designs to follow consistent standards. - Support debugging, logging, and maintenance for Ray-based compute environments. - Data ingestion pipelines linking lab data to ML teams. What You'll Need to Succeed - Minimum of 8 years of experience writing software in a commercial setting in Go or Python. - Experience implementing scalable software solutions. - Experience with MLOps systems, GitOps (ArgoCD, Github Actions) - Familiarity with orchestration frameworks (Ray, Argo, Airflow). - Proficiency in Containerization, Kubernetes and infrastructure-as-code tools. - Acute listening skills and patience to deeply understand complex problems and algorithms. - Excellent problem-solving skills and team-first mentality. - Energetic self-starter and independent thinker with strong attention to detail. - Eager to work with highly skilled and dynamic teams in a fast-paced, entrepreneurial, and technical setting. Bonus Points For - Proficiency with monitoring and logging tools (e.g., Prometheus, Grafana) - Research engineering or scientific software experience. Compensation We offer

### Principal Engineer, AI Security - Lila Sciences
- Location: Cambridge, MA USA (unspecified)
- Salary: $171K-$231K
- Posted: 2026-04-16
- Apply: https://job-boards.greenhouse.io/lilasciences/jobs/4210497009
- Excerpt: Principal Engineer, AI Security Cambridge, MA USA Your Impact at LILA As a Principal Security Engineer focused on AI Security, you will define and drive the technical strategy for securing how AI is used across Lila's enterprise. You will operate as a senior individual contributor, partnering with IT and business teams to ensure safe and compliant adoption of AI tools and platforms. While Lila builds AI-powered systems, this role is primarily focused on securing the use of third-party and internally deployed AI tools across the enterprise - ensuring sensitive data, intellectual property, and scientific workflows are protected as AI becomes deeply embedded in how work gets done. What You'll Be Building - Enterprise AI Security Strategy - Define and implement security controls and guardrails for the use of AI tools (e.g., LLM APIs, SaaS AI platforms, and internal AI services) across the organization. - AI Gateway & Agentic Gateway Security - Design and implement AI gateway controls to manage and monitor access to external and internal AI systems. Secure agentic workflows by enforcing identity, authorization, tool-use constraints, and policy controls for autonomous or semi-autonomous agents. - AI Red Teaming & Adversarial Testing - Conduct red teaming and adversarial testing focused on enterprise AI usage, including prompt injection, data exfiltration, jailbreaks, and abuse of connected tools and plugins. - Data Protection for AI Usage - Develop and enforce controls to prevent sensitive data leakage through AI systems, including input/output filtering, data classification, tokenization, and secure handling of prompts, embeddings, and outputs.

### Manager / Senior Manager, Multimedia - Lila Sciences
- Location: Cambridge, MA USA (unspecified)
- Salary: $108K-$186K
- Posted: 2026-02-27
- Apply: https://job-boards.greenhouse.io/lilasciences/jobs/4157130009
- Excerpt: Manager / Senior Manager, Multimedia Cambridge, MA USA What You'll Be Building We are seeking a creative, technically fluent, and highly organized Multimedia Sr. Manager to join our team. This in-house role is the go-to resource for multimedia content creation, production, and asset management across the organization - from corporate communications and scientific storytelling to supporting our broader content asset needs. This role is intentionally broad. At Lila, multimedia is infrastructure. You will produce content that helps the company communicate internally and externally, attract world-class talent, support business operations, advance commercial & government relationships, and document scientific discovery in real time. Lila is building scientific superintelligence, and this person will be embedded in that environment. You should be genuinely comfortable engaging with scientists and engineers, quickly absorbing new concepts, and translating complex, frontier work into clear, compelling visuals and narrative content. A background in science, biology, AI, robotics, or software is a strong plus. Responsibilities Multimedia production (core) - Create and produce engaging multimedia content - including videos, graphics, and animations - for a wide range of internal and external platforms and audiences. - Capture and edit high-quality photographs and video for promotional materials, internal communications, recruiting, events, and social content. - Manage end-to-end production from concept development to final delivery , including coordination of timelines, reviews, and asset handoff & management. - Stay current with industry trends, emerging tools, and best practices in multimedia production - with particular attention to AI-powered tools that can accelerate or elevate the work.

### Electrical Engineer I/II - Lila Sciences
- Location: Cambridge, MA USA (unspecified)
- Salary: $76K-$125K
- Posted: 2026-06-01
- Apply: https://job-boards.greenhouse.io/lilasciences/jobs/4256865009
- Excerpt: Electrical Engineer I/II Cambridge, MA USA Your Impact at LILA Lila is seeking a motivated Electrical Engineer I or II to contribute to the design and deployment of electrical systems in our automated scientific equipment. This role involves applying core engineering principles to support electrical systems design, rapid prototyping, and cross-system integration, while collaborating within multi-functional teams to advance laboratory automation. This is an ideal opportunity for an early-career engineer who is eager to grow, thrives in a fast-paced R&D environment, and wants to see their work directly accelerate the future of autonomous science. What You'll Be Building - Contribute to the design and implementation of electrical solutions using CAD tools and design software to produce wiring schematics and support system optimization. - Assist in designing and building prototypes, applying agile methodologies to test and iterate on electrical systems and components for novel scientific instruments. - Work alongside senior engineers and scientists to help convert manual benchtop workflows into automated solutions in an R&D setting. - Support the development of process instrumentation, sensors, and field-level control devices to ensure precision and reliability in system performance. - Create, update, and maintain engineering documentation for assigned projects, including wiring schematics, test plans, instrument I/O lists, and results analysis. - Perform calibration, testing, troubleshooting, and validation of electrical systems to ensure performance, accuracy, and safety standards are met. - Support multi-team automation projects by independently executing assigned technical tasks, meeting milestones, and adhering to engineering best practices. - Engage with cross-functional teams to

### Scientist I / II, Robotics - Lila Sciences
- Location: Cambridge, MA USA (unspecified)
- Salary: $176K-$304K
- Posted: 2026-01-20
- Apply: https://job-boards.greenhouse.io/lilasciences/jobs/4074784009
- Excerpt: Scientist I / II, Robotics Cambridge, MA USA Your Impact at LILA As a Robotics Scientist at Lila, you will lead the research and development of autonomous robotic systems that serve as the intelligent physical infrastructure of our scientific superintelligence platform. You'll develop novel algorithms and deploy intelligent robotic solutions that interact seamlessly with human scientists and complex lab environments. Your work will accelerate our mission by enabling fully autonomous workflows for scientific discovery, combining cutting-edge robotics, machine learning, and systems engineering. What You'll Be Building - Design and develop autonomous robotic systems for transport and workcell operations, integrating advanced path planning, navigation, and motion planning algorithms - Build production-grade mobile manipulation platforms leveraging ROS/ROS2 and modular robotic architectures - Advance robotic perception by integrating sensing modalities such as 3D vision, LIDAR, and tactile sensors to enable robust, adaptable task execution - Use simulation environments to model, test, and optimize task planning, scheduling, and robot behaviors in diverse lab scenarios - Collaborate with AI, mechanical, and software engineering teams to translate theoretical robotics research into real-world autonomous systems What You'll Need to Succeed - Ph.D. in Robotics, Computer Science, Mechanical/Electrical Engineering, or a related field, or equivalent research experience - Expertise in motion planning, path planning, and navigation for manipulation and mobile robotics - Proficiency with ROS/ROS2, C++, and Python, with hands-on experience building robotic systems in real-world environments - Deep understanding of perception systems and sensor integration (e.g., camera, LIDAR, tactile sensors) - Proven ability to take robotic systems

### Technical Program Manager, AI Data - Lila Sciences
- Location: Cambridge, MA USA; San Francisco, CA USA (unspecified)
- Salary: $224K-$336K
- Posted: 2026-06-01
- Apply: https://job-boards.greenhouse.io/lilasciences/jobs/4259557009
- Excerpt: Technical Program Manager, AI Data Cambridge, MA USA; San Francisco, CA USA Your Impact at LILA Lila is building toward scientific superintelligence, which depends on a steady supply of high-quality, purpose-built AI data. We're looking for a Senior or Principal Technical Program Manager to join our AI Research team to drive multiple AI data generation and curation workstreams - standing up new project teams, keeping them on schedule, and incorporating that data into the model training pipeline. You don't need to be an ML researcher, but you must be genuinely curious about how AI data fuels model development and able to clearly articulate what your programs will deliver. The successful candidate thrives in ambiguity, communicates exceptionally well across audiences, and knows how to build clarity and momentum on a fast-paced, rapidly scaling team. What You'll Be Building - Launch and operate cross-functional project teams that produce AI data for scientific superintelligence, ensuring each team executes with at high velocity and delivers standardized outputs the model training team can directly consume. - Serve as the key communication interface between project teams and the research, science, and model training organizations; set up the organizational information flows that allow this communication to happen with speed at scale. - Drive accountability across distributed, cross-functional teams without relying on direct authority; build consensus through clear communication and sound judgment. - Define and enforce data delivery standards, QA gates, and handoff protocols so model training receives consistent, high-quality inputs across all active project teams. - Implement

### Senior Director, Cloud Security, Compliance Lead - Lila Sciences
- Location: San Francisco, CA USA (unspecified)
- Salary: $260K-$346K
- Posted: 2026-02-03
- Apply: https://job-boards.greenhouse.io/lilasciences/jobs/4116721009
- Excerpt: Senior Director, Cloud Security, Compliance Lead San Francisco, CA USA Your Impact at LILA Cloud Security & Compliance Lead is responsible for the end-to-end security, governance, risk management, and regulatory compliance of Lila Sciences' cloud environments and research workflows. You'll own cloud security architecture, policy frameworks, data protection, and compliance programs across multi-cloud and on-premises contexts as appropriate. You'll partner with Engineering, Data Science, IT, Legal, and Compliance to codify secure patterns, enable rapid yet safe experimentation, and maintain a robust governance program with auditable evidence for regulators and customers. What You'll Be Building Cloud Security Architecture & Governance - Define and maintain cloud security strategy, reference architectures, and security baselines for public cloud (AWS, Azure, GCP) and hybrid deployments. - Implement secure-by-default patterns for CI/CD is intentionally out of scope; focus on secure design patterns for cloud resources, data flows, and analytics. - Establish IAM least privilege, network segmentation, private endpoints, key/secret management, and centralized logging across AWS, Kubernetes (where applicable), and cloud-native services. Governance, Compliance & Risk Management - Develop, implement, and continuously improve policies, standards, and procedures aligned to applicable frameworks (e.g., NIST CSF, NIST 800-53, FedRamp, ISO 27001, SOC 2, GDPR/CCPA). - Lead data protection program: data classification, data minimization, data retention, and data lifecycle management; oversee DLP strategies where relevant. - Manage third-party risk assessments, vendor security questionnaires, and contract security annexes; maintain evidence for audits. Security Controls & Monitoring - Define and oversee security controls across cloud resources, including identity, access management, encryption, key

### Staff Forward Deployed Engineer, Physical Sciences (Level Flexible) - Lila Sciences
- Location: Cambridge, MA USA (unspecified)
- Salary: $192K-$256K
- Posted: 2025-10-06
- Apply: https://job-boards.greenhouse.io/lilasciences/jobs/4031303009
- Excerpt: Staff Forward Deployed Engineer, Physical Sciences (Level Flexible) Cambridge, MA USA Your Impact at LILA We're seeking extraordinarily talented Forward Deployed Engineers across Engineer, Senior Engineer, and Lead Engineer levels to join our growing team. Our FDEs are high-performing generalists with a broad set of skills, in addition to depth in one or more focus areas. This FDE, Physical Sciences role requires experience in chemistry and materials science in an industrial manufacturing setting. As an FDE, you'll embed directly with our internal biotech and materials science teams as well as external customers, living their problems and rapidly building solutions that transform their research capabilities. You'll leverage our AI and software platform tools while developing bespoke features that address each customer's unique challenges. This isn't traditional software development-it's high-velocity, AI-fueled, high-impact engineering where you'll ship production code in days, not months. What You'll Be Building - Developing, wrapping, and adapting domain-specific tools for data analysis, process optimization, molecular modeling, and more - Deploying custom, agentic scientific workflows that integrate with industrial instruments (PLCs, control software) and data systems (ERP, MES, SCADA) - Building real-time data pipelines that transform messy scientific data into actionable insights - Creating intuitive interfaces that make complex AI/ML capabilities accessible to scientists - Architecting solutions that scale from proof-of-concept to enterprise-wide deployment What You'll Need to Succeed - Domain expertise in chemistry, materials science, or related field - Outstanding communication skills-you'll interface directly with both executives and the manufacturing line - Experience with data engineering, ETL pipelines,

### Machine Learning Engineer II / Senior Machine Learning Engineer I, Physical Sciences - Lila Sciences
- Location: Cambridge, MA USA (unspecified)
- Salary: $128K-$198K
- Posted: 2026-02-03
- Apply: https://job-boards.greenhouse.io/lilasciences/jobs/4116513009
- Excerpt: Machine Learning Engineer II / Senior Machine Learning Engineer I, Physical Sciences Cambridge, MA USA Your Impact at LILA This Machine Learning Engineer for the Physical Sciences team focuses on building and operating end-to-end, scalable machine learning workflows that solve a diversity scientific use cases in materials, chemistry and physical sciences. Your work will advance research efforts on state-of-the-art algorithms to build towards scientific superintelligence across today's greatest challenges in physical sciences. What You'll Be Building - Design, implement, and maintain end‑to‑end ML pipelines (data ingestion, feature engineering, training, evaluation, deployment, monitoring). - Productionize models and services with robust testing, observability, and documentation in collaboration with cross-functional software teams and build CI/CD workflows and automated evaluations to ensure safe, frequent releases. - Collaborate with domain scientists and platform engineers to translate research insights into performant, scalable systems. - Contribute to technical design reviews, coding standards, and mentoring of best practices. What You'll Need to Succeed - BS/MS/PhD in Computer Science, Engineering, or a related quantitative field, or equivalent industry experience. - Strong Python software engineering fundamentals (testing, packaging, typing); experience with machine learning frameworks (e.g., PyTorch, Huggingface, etc.). - Experience deploying ML services to production in cloud-based infrastructure (FastAPI/GRPC, containers, orchestration, cloud infra). - Hands‑on experience with model deployment in production systems (LLMs, multimodal models, databases, RAG) with strong debugging and profiling skills. - Clear communication and collaboration in cross‑functional settings. Bonus Points For - Exposure to scientific or engineering domains (materials, chemistry, physics) and related data formats/benchmarks. - GPU

### Manager / Senior Manager, Finance, Fixed Asset Accounting - Lila Sciences
- Location: Cambridge, MA USA; San Francisco, CA USA (unspecified)
- Salary: $108K-$187K
- Posted: 2026-03-29
- Apply: https://job-boards.greenhouse.io/lilasciences/jobs/4195640009
- Excerpt: Manager / Senior Manager, Finance, Fixed Asset Accounting Cambridge, MA USA; San Francisco, CA USA Your Impact at LILA We are seeking a detail-oriented and highly collaborative Revenue Manager to own the operational execution of revenue accounting for licensing, collaboration, and other complex revenue agreements. This role sits within the finance function and focuses on ensuring accurate, timely, and scalable revenue processes, partner reporting, and billing operations. As the Fixed Asset Accounting Manager at Lila, you'll play a critical role in building and scaling the Company's fixed asset, lease, and capital project accounting infrastructure during a period of rapid growth and innovation. You will own the end-to-end accounting lifecycle for capital assets-from acquisition and capitalization through depreciation, impairment, retirement, and audit support-while partnering closely with Procurement, Facilities, Lab Operations, and Finance. This role will be instrumental in establishing best-in-class asset accounting processes, ensuring accurate financial reporting, supporting strategic capital investments, and maintaining compliance with U.S. GAAP. You will help build the operational and accounting foundation that supports Lila's expanding laboratory, facilities, and scientific equipment footprint. What You'll Be Building Fixed Asset Accounting & Reporting - Own the fixed asset accounting function, including capitalization, depreciation, disposals, transfers, impairments, and reconciliations. - Manage the monthly fixed asset close process and prepare supporting journal entries and account reconciliations. - Maintain accurate fixed asset records and ensure compliance with capitalization policies and U.S. GAAP. - Review capital expenditures and determine appropriate accounting treatment. - Support accounting for laboratory equipment, capital leases, leasehold improvements, construction-in-progress

### Senior Scientist, Analytical Chemistry - Lila Sciences
- Location: Cambridge, MA USA (unspecified)
- Salary: $148K-$198K
- Posted: 2026-03-25
- Apply: https://job-boards.greenhouse.io/lilasciences/jobs/4192713009
- Excerpt: Senior Scientist, Analytical Chemistry Cambridge, MA USA Your Impact at LILA The Senior Scientist, Analytical Chemistry will develop and deploy advanced analytical and characterization strategies to support Discovery Chemistry efforts across Lila's platform, with a focus on enabling the rapid design, synthesis, screening, and optimization of small molecules and related molecular matter. This scientist will play a key role in generating high-quality, information-rich experimental data that informs chemistry decisions and accelerates platform learning. Working closely with Discovery Chemistry, automation, AI/computational, and screening teams, this role will establish and scale multimodal characterization workflows that go beyond traditional analytical chemistry approaches. The Senior Scientist will help build an integrated analytical capability spanning compound characterization, reaction monitoring, molecular profiling, and high-throughput data generation to support fast and iterative design-make-test-analyze cycles. This role will be critical to shaping Lila's next-generation discovery engine by combining deep expertise in analytical chemistry with high-throughput experimentation, multimodal data generation, AI-enabled workflows. What You'll Be Building - Develop, optimize, and implement analytical and multimodal characterization workflows to support Discovery Chemistry programs and molecular discovery campaigns. - Support the design, synthesis, screening, and optimization of small molecules by delivering rapid, reliable, and information-rich analytical data. - Lead analytical method development for compound identification, purity assessment, impurity profiling, reaction monitoring, and molecular characterization using techniques such as liquid chromatography, mass spectroscopy, NMR, and complementary orthogonal methods. - Build characterization strategies that extend beyond traditional analytical methods , incorporating multimodal measurements that provide deeper insight into molecular identity, reaction outcomes, physicochemical properties,

### Senior Specialist / Manager, Boomi Developer, Business Systems - Lila Sciences
- Location: Cambridge, MA USA (unspecified)
- Salary: $88K-$144K
- Posted: 2026-03-17
- Apply: https://job-boards.greenhouse.io/lilasciences/jobs/4184439009
- Excerpt: Senior Specialist / Manager, Boomi Developer, Business Systems Cambridge, MA USA Your Impact at LILA Lila is hiring a Boomi Developer to design, build, and support integrations that power our core business systems. You'll own end-to-end integration delivery in Boomi AtomSphere-from requirements and mapping through deployment, monitoring, and ongoing support-partnering closely with Finance, People Ops, IT, and GTM stakeholders. Experience with procure-to-pay (P2P) and onboarding/offboarding workflows is a strong plus. What You'll Be Building - Design, develop, and maintain Boomi AtomSphere integrations (processes/atoms, APIs, schedules, connectors) across ERP, HCM, IAM, CRM, ITSM, and data platforms. - Translate business requirements into scalable integration designs and data mappings (JSON, XML, CSV, EDI). - Build resilient error handling, retries, and alerting; ensure observability and clear runbooks for L1/L2/L3 support. - Manage Boomi MDH to support Data Quality and Source Data integrity - Implement and manage REST/SOAP APIs , webhooks, and event-driven patterns where appropriate. - Optimize existing integrations for performance, reliability, and cost; deprecate legacy jobs safely. - Manage CI/CD, environment promotion, and release governance for integration assets. - Ensure data quality, security, and compliance (PII handling, least privilege, audit readiness). - Partner with stakeholders to prioritize a roadmap; provide estimates, status, and documentation. - Provide production support within defined SLAs , including incident response and root-cause analysis. - Contribute to standards, templates, and best practices for integration development at Lila. What You'll Need to Succeed - 3-5 years in integrations/iPaaS, including 2+ years hands-on with Boomi AtomSphere . - Proficiency with API

### Research Scientist, Dexterous Manipulation & Robot Learning - Lila Sciences
- Location: Cambridge, MA USA (unspecified)
- Salary: $176K-$304K
- Posted: 2025-12-22
- Apply: https://job-boards.greenhouse.io/lilasciences/jobs/4087170009
- Excerpt: Research Scientist, Dexterous Manipulation & Robot Learning Cambridge, MA USA Your Impact at LILA As a Robotics Scientist at Lila, you will lead the research and development of autonomous robotic systems that serve as the intelligent physical infrastructure of our scientific superintelligence platform. You'll develop novel algorithms and deploy intelligent robotic solutions that interact seamlessly with human scientists and complex lab environments. Your work will accelerate our mission by enabling fully autonomous workflows for scientific discovery, combining cutting-edge robotics, machine learning, and systems engineering. What You'll Be Building - Pioneering approaches for precise and dexterous robotic manipulation that leverage foundation models, reinforcement learning, diffusion-based methods, and human guidance to enable adaptive and intelligent robotic systems capable of complex tasks across diverse scientific environments - Developing novel human-robot interaction frameworks that incorporate imitation learning, and learning from human guidance, feedback, demonstrations and corrections, creating intelligent robotic agents that can seamlessly integrate with human scientific workflows and rapidly adapt to new experimental contexts - Advancing dexterous manipulation research through cutting-edge machine learning approaches, including diffusion models and adaptive learning algorithms, that synthesize multi-modal sensing (tactile, visual, and language) to develop generative skill representation sand sophisticated motor learning policies for intelligent robotic systems - Designing autonomous robotic systems with trust calibration mechanisms, enabling intelligent agents that can dynamically adjust their behaviors based on contextual information in complex scientific tasks What You'll Need to Succeed - Ph.D. in Robotics, Machine Learning, Computer Science, or a related field with demonstrated expertise in foundation models for

### Senior Software Engineer, Scientific System of Record - Lila Sciences
- Location: Cambridge, MA USA; San Francisco, CA USA (unspecified)
- Salary: $144K-$240K
- Posted: 2026-06-03
- Apply: https://job-boards.greenhouse.io/lilasciences/jobs/4248049009
- Excerpt: Senior Software Engineer, Scientific System of Record Cambridge, MA USA; San Francisco, CA USA Your Impact at LILA Join us in shaping the future of science! We are seeking Senior Software Engineers with full stack experience to join our Scientific System of Record Team (SSR), where you'll collaborate with software engineers, lab scientists, and machine learning engineers to build cutting-edge tools for automated scientific analysis and more. If you thrive in a collaborative, fast-paced environment and bring best practices in git, development workflows, and user-centered design, we want to hear from you! About The Team The Scientific System of Record Team (SSR) builds the memory layer for Lila's operations. It answers two questions: what did we plan to build? and what actually happened? These systems connect scientific intent to physical reality. Together with the data and automation teams, their systems ensure reproducibility and close the Design-Build-Test-Learn (DBTL) loop. What You'll Be Building - Lab Execution and Scientific Workflows: Build systems that model scientific intent, experiment planning, protocol execution, sample and asset state, operational events, and results capture across complex lab workflows. - User Interfaces and APIs: Design and implement high-quality, secure, and well-documented UIs and APIs that support scientists, automation systems, ML workflows, and AI-driven applications. - Application Development: Build front-end and backend services with a focus on performance, maintainability, and reliability. - Data and System Modeling: Develop domain models, schemas, indexes, and data contracts across SQL, NoSQL, vector databases, data lakehouses, and other scientific data systems. - Reliability, Performance,

### Sr Principal/ Principal Software Engineer, AI Lab Execution System - Lila Sciences
- Location: Cambridge, MA USA; San Francisco, CA USA (unspecified)
- Salary: $204K-$348K
- Posted: 2026-03-23
- Apply: https://job-boards.greenhouse.io/lilasciences/jobs/4193827009
- Excerpt: Sr Principal/ Principal Software Engineer, AI Lab Execution System Cambridge, MA USA; San Francisco, CA USA Your Impact at LILA We are seeking a Senior Principal or Principal Software Engineer, AI Lab Execution System to join our Scientific System of Record Team and help define and build the next-generation AI-driven scientific platform. In this role, you will serve as a technical leader for systems that connect scientific intent, laboratory execution, data capture, and AI-driven analysis. You will shape the architecture of user interfaces, services, high-performance APIs, databases, and reliability-critical systems that integrate advanced AI frameworks with complex scientific analytics and laboratory workflows. You'll work closely with ML researchers, platform engineers, data engineers, product teams, and scientists to turn complex scientific processes into scalable, elegant software systems. These systems will need to support diverse workloads across structured SQL databases, data lakehouses, workflow engines, and lab execution environments. This is an opportunity to set technical direction for a cutting-edge AI platform with real scientific impact. If you are passionate about building high-leverage systems, mentoring strong engineers, and solving ambiguous problems at the intersection of AI, software, and science, we would love to hear from you. About The Team The Scientific System of Record Team (SSR) builds the memory layer for Lila's operations. It answers two questions: what did we plan to build? and what actually happened? These systems connect scientific intent to physical reality. Together with the data and automation teams, their systems ensure reproducibility and close the Design-Build-Test-Learn (DBTL) loop. What

### Engineer II / Senior Mechatronics Engineer, Hardware & Controls Engineering - Lila Sciences
- Location: Cambridge, MA USA (unspecified)
- Salary: $94K-$158K
- Posted: 2026-04-14
- Apply: https://job-boards.greenhouse.io/lilasciences/jobs/4214677009
- Excerpt: Engineer II / Senior Mechatronics Engineer, Hardware & Controls Engineering Cambridge, MA USA Your Impact at LILA Lila Sciences is seeking a Mechatronics Engineer II to join our Advanced Engineering Team to design, develop, and optimize electromechanical systems. This role bridges hardware, software, electrical, and controls to deliver intuitive, high-performance automated solutions. What You'll Be Building - Write control software to coordinate sensors, actuators, and motion systems into cohesive automated solutions - Develop HMI/GUI interfaces for operator interaction and system monitoring - Prototype and build test jigs and fixtures to de-risk designs and optimize system performance - Program and tune servo drives, actuators, and sensor feedback loops - Create control algorithms and logic for automated equipment - Collaborate with cross-functional engineering teams What You'll Need to Succeed - Bachelor's degree in Mechatronics, Electrical, or Mechanical Engineering - 3-5 years of relevant experience - Experience with HMI development platforms - Proficiency with version control systems, especially Git & Github . - Proficiency with C/C++ and Python, or similar languages - Experience with microcontrollers (STM-32, Arduino, Raspberry Pi) - Experience with rapid prototyping techniques - Experience specifying and integrating sensors, motors, drives - Understanding of analog signal types (4-20mA, 0-10V) and discrete I/O - Thrives in a hands-on prototype heavy environment - Strong troubleshooting and debugging skills Bonus Points For - Understanding of machine states, control theory and PID tuning - Experience or familiarity with PLC based systems - Familiarity with industrial communication protocols (EtherNet/IP, RS-232, OPC/UA, MQTT) - Experience or familiarity

### Staff Forward Deployed Engineer, Life Sciences - Lila Sciences
- Location: Cambridge, MA USA (unspecified)
- Salary: $192K-$256K
- Posted: 2025-10-06
- Apply: https://job-boards.greenhouse.io/lilasciences/jobs/4031282009
- Excerpt: Staff Forward Deployed Engineer, Life Sciences Cambridge, MA USA Your Impact at LILA We're seeking extraordinarily talented Forward Deployed Engineers across Engineer, Senior Engineer, and Lead Engineer levels to join our growing team. Our FDEs are high-performing generalists with a broad set of skills, in addition to depth in one or more focus areas. As an FDE, you'll embed directly with our internal biotech and science teams as well as external customers, living their problems and rapidly building solutions that transform their research capabilities. You'll leverage our AI and software platform tools while developing bespoke features that address each customer's unique challenges. This isn't traditional software development-it's high-velocity, AI-fueled, high-impact engineering where you'll ship production code in days, not months. What You'll Be Building - Developing, wrapping, and adapting domain-specific tools for molecular modeling, data analysis, process optimization, molecular modeling, and more - Deploying custom, agentic scientific workflows that integrate with industrial instruments (PLCs, control software) and data systems (ERP, MES, SCADA) - Building real-time data pipelines that transform messy scientific data into actionable insights - Creating intuitive interfaces that make complex AI/ML capabilities accessible to scientists - Architecting solutions that scale from proof-of-concept to enterprise-wide deployment What You'll Need to Succeed - Background in biology, molecular science, or related scientific field - Outstanding communication skills-you'll interface directly with both executives and the manufacturing line - Experience with data engineering, ETL pipelines, and working with complex/messy datasets - Strong full-stack development skills with the ability to work across backend, frontend,

### Research Scientist I/II, AI for Process Engineering - Lila Sciences
- Location: Cambridge, MA USA (unspecified)
- Salary: $176K-$304K
- Posted: 2026-01-23
- Apply: https://job-boards.greenhouse.io/lilasciences/jobs/4110163009
- Excerpt: Research Scientist I/II, AI for Process Engineering Cambridge, MA USA Your Impact at LILA As a member of our team in the Physical Sciences division, you will design and build intelligent agent-driven systems that enable AI-accelerated and AI-orchestrated process engineering across a broad range of industrial applications. The core mission of this role is to develop methods by which AI agents can reason about, design, simulate, optimize, and operate complex physical and chemical processes using existing or ML-driven process engineering tools. You will focus on creating agentic infrastructures that allow AI systems to plan and execute multi-step process engineering workflows, ranging from process synthesis and flowsheet generation to steady-state and dynamic simulation, control strategy design, and techno-economic evaluation. Your work will directly shape how Lila's scientific superintelligence performs closed-loop autonomous process engineering to solve real-world problems. What You'll Be Building - Architect and implement agentic frameworks that support end-to-end process engineering workflows, including process setup, simulation, optimization, and analysis. - Develop AI agents capable of autonomously planning, executing, and iterating on process engineering tasks using existing tools (e.g., steady-state and dynamic simulators, optimizers, and data systems). - Explore agentic approaches for advanced tasks such as process intensification, control co-design, real-time optimization, and closed-loop learning from operational data. - Improve robustness, interpretability, and reproducibility of agent-driven process engineering workflows; build internal tooling for debugging, observability, validation, and auditability. - Work with interdisciplinary teams to apply agentic process engineering to a broad range of industrial applications What You'll Need to Succeed -

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