Lila Sciences jobs

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 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 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 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 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 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) 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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

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

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. -