Lila Sciences jobs

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:

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

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

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

Scientist I/II, mRNA Translation Dynamics Cambridge, MA USA Your Impact at LILA We are seeking a curious, driven, and collaborative Scientist to join our discovery platform team focused on decoding mRNA translation dynamics. You will develop workflows that utilize next-generation pooled screening strategies like polysome profiling and Ribo-seq to to generate rich biological datasets that feed directly into Lila's machine learning models. This is a unique opportunity to help invent a new approach to biological discovery by integrating synthetic biology, high-throughput experimentation, and intelligent automation. What You'll Be Building - Design and execute high-throughput pooled screening campaigns to interrogate mRNA translation dynamics across diverse sequence and structural contexts - Develop and optimize cell-free and in-cell assay systems for quantitative measurement of translation efficiency, kinetics, and regulation across different cell environments - Collaborate closely with computational and ML teams to define data requirements, validate model predictions, and close the loop between experiment and prediction - Establish and refine next-generation library design strategies, leveraging combinatorial and rational approaches to explore sequence space efficiently - Analyze and interpret complex biological datasets, distilling key findings into actionable insights for platform advancement - Contribute to the development of automated and semi-automated experimental pipelines to increase throughput and consistency What You'll Need to Succeed - MSc with 4+ years of industry or academic experience, or PhD in a relevant field (molecular biology, bioengineering, synthetic biology, chemical biology, etc.) - Deep expertise in mRNA biology and translation regulation - Experience with next-generation sequencing based assays of mRNA

Research Scientist, Frontier Capabilities Cambridge, MA USA; San Francisco, CA USA Your impact at LILA We're building a talent-dense, high-agency research team to develop the next generation of learning systems and reasoning algorithms for agentic LLMs. Our work sits at the intersection of large language models, post-training, and scientific reasoning, with the goal of enabling systems that learn from experience, reason effectively, and improve through interaction . Scientific domains present a distinct set of challenges that make this problem uniquely hard. Feedback is sparse and delayed - experiments take days or weeks, not milliseconds. Ground truth is expensive or contested. Distribution shift is structural, as instruments, techniques, and knowledge bases evolve continuously. The hypothesis space is vast and reward signal is thin. Existing benchmark do not capture these nuances. The goal is to build systems that can operate effectively in this scientific regime. This role spans a few complementary directions. Candidates are expected to bring deep expertise in one (ore more) of the following areas. In the event of cross-track expertise, please select the one you align to the most. Our interview process will be catered to verifying the chosen expertise area. Expertise Area 1 - Agentic system building Focus: Build systems that autonomously propose, execute, and verify scientific hypotheses over long time horizons. - Create and analyze long-running auto-research systems that propose and verify hypotheses - Design planning frameworks for agentic systems operating over long, sparse feedback loops - Design memory architectures that allow agents to build and retrieve

Associate / Engineer I, ResOps, Synthesis Cambridge, MA USA Your Impact at LILA We are seeking a motivated and detail-oriented Associate Engineer to join our high-throughput Research Operations team. In this role, you will focus on hands on materials synthesis of various powders and porous medias as well as characterization of materials using spectroscopy and microscopy techniques. You will gain hands-on experience with state-of-the-art automation technologies while contributing directly to projects that drive our company's growth. This is an excellent opportunity for candidates excited to learn engineering principles, work with advanced laboratory automation, and develop a strong foundation in scientific operations in a dynamic, shift-based environment. What You'll Be Building - Perform materials synthesis for materials including zeolites, MOFS, coolants, quantum dots, and lipid nanoparticles - Prepare reagents, solutions/electrolytes , samples, and consumables to ensure seamless continuation of experiments across shifts - Follow detailed standard operating procedures (SOPs) to ensure accuracy, reproducibility, and throughput - Monitor workflow performance, troubleshoot common issues, and escalate when necessary to ensure continuity between shifts - Record, organize, and maintain experimental data with high attention to detail - Identify opportunities to improve efficiency and streamline processes across shift operations - Flag unusual features or results for scientist review - Collaborate with scientists and engineers to support diverse projects across life sciences and physical sciences What You'll Need to Succeed - Bachelor's degree in Chemistry, Physics, Chemical/Materials Engineering, or a related field (or equivalent laboratory experience) - Attention to detail and strong organizational skills - 1

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,

Research Scientist I/II, Multiscale & Multiphysics Simulations Cambridge, MA USA Your Impact at LILA Your role will focus on building next-generation in silico multiphysics and multiscale simulation capabilities that power AI-driven scientific discovery. You will develop high-fidelity digital representations of complex physical systems spanning chemical and mechanical processes, transport phenomena, and electromagnetic behavior and integrate them into autonomous discovery and experimental pipelines. You will work on integrating simulation methods-such as finite element modeling, computational fluid dynamics, phase-field methods, and TCAD-style transport/process modeling-into scalable, programmatic, and agent-driven systems that enable real-time digital twins, simulation-informed decision-making, and autonomous closed-loop workflows What You'll Be Building - Develop and deploy robust multiphysics models across coupled domains (e.g., thermal, fluid, structural, electromagnetic, chemical), using methods such as coarse-grained, mesoscale, FEM, and CFD techniques. - Build integrated multiscale frameworks that connect atomistic, mesoscale, and continuum representations to model materials and devices. - Design and implement programmatic, agent-driven simulation workflows that can autonomously configure, execute, and refine simulations within closed-loop discovery workflows. - Create scalable, GPU-accelerated simulation pipelines, data infrastructure, and interoperable APIs that connect commercial tools (e.g., COMSOL, ANSYS) and custom solvers deploying on cloud-based, high-throughput computing environments - Collaborate with AI, software, and automation teams to orchestrate and deploy closed-loop discovery workflows, integrating computational predictions with robotic and cloud-based laboratory platforms to enable automated experiment-simulation feedback cycles and accelerated R&D. What You'll Need to Succeed - PhD in Mechanical Engineering, Chemical Engineering, Aerospace Engineering, Materials Science, or a related field. - Extensive experience with multiphysics

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

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 / 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 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,

Staff Software Engineer, Scientific System of Record Cambridge, MA USA; San Francisco, CA USA Your Impact at LILA We are seeking a Staff Software Engineer to join our Scientific System of Record Team and help build the next-generation AI-driven scientific platform. You will focus on developing user interfaces, services, high-performance APIs, databases, and reliable systems that integrate advanced AI frameworks with complex scientific analytics and laboratory workflows. You'll work closely with ML researchers, platform engineers, and scientists to develop systems that can handle diverse workloads and scale seamlessly, including structured SQL databases, data lakehouses, workflow engines, and lab execution environments. This is an opportunity to apply your deep front-end and backend expertise to a cutting-edge AI platform with real scientific impact. If you are passionate about building performant, elegant systems, 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 You'll Be Building - User Interfaces and APIs: Design and build high-performance, secure, and well-documented UIs and APIs that integrate with AI-driven applications. - Database Architecture and Scaling: Develop schemas and manage diverse data systems, including SQL, NoSQL, vector databases, and other emerging technologies, for performance and scalability. - Application Development: Drive implementation of front-end and

Associate / Engineer I, ResOps, Formulations and Characterization Cambridge, MA USA Your Impact at LILA We are seeking a motivated and detail-oriented Associate Engineer to join our high-throughput Research Operations team. In this role, you will focus on hands on material formulation preparation using characterization techniques relevant to rheology and mechanical properties You will gain hands-on experience with state-of-the-art automation technologies while contributing directly to projects that drive our company's growth. This is an excellent opportunity for candidates excited to learn engineering principles, work with advanced laboratory automation, and develop a strong foundation in scientific operations in a dynamic, shift-based environment. What You'll Be Building - Perform wet-lab materials synthesis and formulation of materials including coatings, solutions, and elastic materials - Prepare reagents, solutions/electrolytes, samples, and consumables to ensure seamless continuation of experiments across shifts - Conduct rheology of formulations, and mechanical testing such as tensile, peel, and shear tests - Follow detailed standard operating procedures (SOPs) to ensure accuracy, reproducibility, and throughput - Monitor workflow performance, troubleshoot common issues, and escalate when necessary to ensure continuity between shifts - Record, organize, and maintain experimental data with high attention to detail - Identify opportunities to improve efficiency and streamline processes across shift operations - Flag unusual features or results for scientist review - Collaborate with scientists and engineers to support diverse projects across life sciences and physical sciences What You'll Need to Succeed - Bachelor's degree in Chemistry, Physics, Chemical/Materials Engineering, or a related field (or equivalent laboratory experience) -

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

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 -

Research Engineer, Frontier Capabilities Cambridge, MA USA; San Francisco, CA USA Your Impact at LILA The AI Research team is tackling one of the most exciting, open problems in AI: training LLMs to run long-horizon scientific discovery tasks. Our approach spans the full post-training stack - from SFT to asynchronous RL on agentic harnesses - teaching models to plan, use tools, and learn from experience in domains where the ground truth isn't a preference label, but a scientific result. We're rapidly growing our Research Engineering org and seeking talented engineers and ML practitioners across levels to design, build, and optimize systems to push this frontier: scaling post-training, sharpening reasoning, and unlocking compute-intensive agentic-harness training. This is a rare chance to join an early team with the autonomy, flexibility, and compute to tackle frontier science problems. We operate with high agency, and a bias toward execution. Below are several focus areas within the team. We ask that candidates select the stream that best matches their experience and excitement. Work Streams Stream A: GPU Optimization & Training Performance Maximize hardware utilization across 100B+ parameter asynchronous RL training runs. Responsibilities include profiling, performance optimization, custom kernel development, communication-computation overlap, and long-context throughput improvements. You set and maintain the performance baseline. Stream B: Stack & Infrastructure Own the post-training infrastructure end-to-end - supervised fine-tuning, asynchronous RL with tool integration, and data pipelines. Build modular, reproducible workflows with single-command execution. Manage upstream framework upgrades and deliver composable pipelines spanning Data, SFT, and RL stages. You

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 Research Associate, Antibody Display Cambridge, MA USA Your Impact at LILA We're hiring a Senior Research Associate to support development and execution of display workflows to determine the binding, stability, and function of antibodies and other biologics. The role will develop and execute assays to generate highly multiplexed, high-dimensional datasets, and will continually optimize those assays to improve precision, scope, reliability, and speed. You will collaborate with synthetic biologists, automation engineers, and others to make these assays automation-ready. This role partners across cell biology, protein design, and nucleic acid teams to support biologic development programs and the development of scientific super intelligence. What You'll Be Building - Support development of in vitro and in vivo display workflows to determine the binding, stability, and function of antibodies and other biologics. - Implement display workflows to support antibody and biologic development programs and to generate novel high-dimensional datasets that advance scientific super intelligence. - Partner with protein design, nucleic acid, protein, and automation teams to create highly precise and complex libraries of protein designs. - Utilize MACS and FACS for the selection of biologics with desired properties. - Closed-loop experimentation and execution: partner closely with engineering and automation to design and exercise platforms for automated, high-throughput experimentation and data-rich workflows. - Collaborate, lead, and communicate: work with cell biologists, synthetic biologists, automation engineers, protein design scientists, and data scientists to document systems, share insights, and refine best practices in autonomous science. What You'll Need to Succeed - MSc in Molecular Biology,

Scientist I/II, Drug Delivery Chemistry Cambridge, MA USA Your Impact at LILA We are seeking a Scientist (II) to join our Physical Sciences team. This role will focus on assisting in the design and development of a high throughput chemical synthesis platform, with emphasis on medicinal chemistry and drug delivery applications. The ideal candidate will have experience synthesizing, analyzing, and optimizing novel molecules to build out structure-activity relationships for a library of compounds. This position will work closely with others across the chemistry, formulations, engineering, machine learning, and data science teams to help establish next-generation tools for therapeutic development and drug delivery. Your work will bridge the physical sciences and bioanalytical domains, enabling high-throughput experimentation for closed-loop optimization of organic compounds. What You'll Be Building - Design, synthesize, and optimize novel lipids, small molecules, and other combinatorial chemistry compound libraries for drug delivery applications - Design and deploy high-throughput synthesis strategies, build automated assay platforms, and develop innovative approaches to interrogate large chemical spaces - Partner closely with chemistry, computational, and automation teams to establish structure-activity relationships for compound libraries to guide iterative design strategies - Implement data-driven approaches to analyze screening outputs and guide iterative molecule design. - Work with and manage projects with CDMOs for research-grade synthesis, with considerations towards scale-up of lead compounds - Establish best practices for screening data quality, reproducibility, and assay robustness. - Collaborate across disciplines to translate screening hits into validated chemical starting points for therapeutic programs. What You'll Need to Succeed -

Scientist I/II, Organic Chemistry Cambridge, MA USA Your Impact at LILA The Scientist I/II, Organic Chemistry will develop, execute, and optimize modern chemical transformations that support Discovery Chemistry efforts across Lila's platform, with a focus on the rapid synthesis of small molecules and structurally diverse chemical matter. This role is intended for an experimental organic chemist who combines strong foundations in synthetic chemistry with hands-on experience in high-throughput experimentation (HTE), reaction workup, and analytical characterization . Working closely with Discovery Chemistry, analytical chemistry, automation, screening, and AI/computational teams, this scientist will help build and apply efficient chemistry workflows that accelerate molecular design-make-test-analyze cycles. The Scientist II will contribute to reaction development, analog generation, and route execution using modern organic chemistry approaches that are compatible with scalable, data-rich, and increasingly automated discovery environments. This role is ideal for a chemist excited by solving synthetic problems at the interface of reaction innovation, high-throughput experimentation, process efficiency, and analytical insight , and who is motivated to help shape next-generation discovery workflows beyond traditional bench chemistry. What You'll Be Building - Design, execute, and optimize chemical transformations relevant to Discovery Chemistry programs, with emphasis on the rapid synthesis of small molecules and analog series. - Apply modern synthetic organic chemistry to enable efficient exploration of structurally diverse and medicinally relevant chemical space. - Plan and perform multi-step synthesis, reaction optimization, workup, purification, and compound characterization in support of molecular discovery campaigns. - Design and execute HTE workflows for reaction screening, condition optimization, reagent evaluation,

Machine Learning Scientist I/II, Multi-Modal Scientific Reasonings Cambridge, MA USA Your Impact at LILA We're hiring a Machine Learning Scientist to advance multi‑modal reasoning with vision‑language models (VLMs) on real-world scientific data including, but not limited to: figures and plots, microscopy data from diverse sources. You'll design and build state‑of‑the‑art methods to advance the state of Scientific Superintelligence. What You'll Be Building - Lead research on multi‑modal reasoning systems that interpret scientific data (images, plots, text, etc) using state‑of‑the‑art and custom VLMs. - Design training, adaptation and test-time methods and strategies (e.g., instruction tuning, supervised learning, RLHF, RAG) for scientific understanding tasks. - Build datasets and benchmarks from real scientific artifacts (e.g., microscopy, spectra, protocols) to understand model performance. - Develop perception modules (e.g, OCR, table/structure recognition, plot parsing) for multi-modal data modalities. - Collaborate with domain scientists and engineers to scale research into production ready systems for scientific superintelligence. What You'll Need to Succeed - Advanced degree in a relevant field (CS/AI, Applied Math/Stats, EE) or a physical‑sciences discipline (Materials, Chemistry, Physics) with strong ML focus; or equivalent research/industry experience. - Track record in multi‑modal ML or VLMs demonstrated via shipped systems, publications, or open‑source. - Understanding of scientific QA/benchmarks and custom evaluation design. - Experience with multi-modal fine-tuning, document parsing & understanding, dataset curation and benchmarking. - Strong engineering skills centered on modern machine learning frameworks (e.g., PyTorch, Huggingface). - Clear communication and collaboration in cross‑functional settings. Bonus Points For - Experience with scientific data modalities in real-world

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,