Scientist, Epitaxial Thin Film Synthesis at Lila Sciences - Cambridge, MA USA - 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
", "datePosted": "2026-06-11T19:01:57.000Z", "employmentType": "FULL_TIME", "identifier": { "@type": "PropertyValue", "name": "Lila Sciences", "value": "6d925a9505e6d58d6e914984572ee6bd" }, "hiringOrganization": { "@type": "Organization", "name": "Lila Sciences" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US", "addressLocality": "Cambridge" } }, "estimatedSalary": { "@type": "MonetaryAmount", "currency": "USD", "value": { "@type": "QuantitativeValue", "minValue": 108000, "maxValue": 150000, "unitText": "YEAR" }, "description": "Base salary plus commission" }, "directApply": false, "incentiveCompensation": "Equity (Options); Bonus", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 36 }, "educationRequirements": "Doctorate", "url": "https://fewerjobs.com/jobs/lila-sciences/scientist-epitaxial-thin-film-synthesis-6d925a95" } }, { "@type": "ListItem", "position": 2, "url": "https://fewerjobs.com/jobs/lila-sciences/co-op-machine-learning-for-digital-twins-9bfcc163", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Co-op, Machine Learning for Digital Twins", "description": "Co-op, Machine Learning for Digital Twins at Lila Sciences - Cambridge, MA USA - 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
", "datePosted": "2026-06-11T18:38:30.000Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "Lila Sciences", "value": "9bfcc1632a3c5af05d4f91346b2806a9" }, "hiringOrganization": { "@type": "Organization", "name": "Lila Sciences" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US", "addressLocality": "Cambridge" } }, "directApply": false, "incentiveCompensation": "Bonus", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 36 }, "educationRequirements": "Doctorate", "url": "https://fewerjobs.com/jobs/lila-sciences/co-op-machine-learning-for-digital-twins-9bfcc163" } }, { "@type": "ListItem", "position": 3, "url": "https://fewerjobs.com/jobs/lila-sciences/co-op-llms-for-decision-making-f5236c7b", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Co-op, LLMs for Decision Making", "description": "Co-op, LLMs for Decision Making at Lila Sciences - Cambridge, MA USA - 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
", "datePosted": "2026-06-11T18:38:10.000Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "Lila Sciences", "value": "f5236c7b8bcfce357f6ee3958b2868fa" }, "hiringOrganization": { "@type": "Organization", "name": "Lila Sciences" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US", "addressLocality": "Cambridge" } }, "directApply": false, "incentiveCompensation": "Bonus", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 36 }, "educationRequirements": "Doctorate", "url": "https://fewerjobs.com/jobs/lila-sciences/co-op-llms-for-decision-making-f5236c7b" } }, { "@type": "ListItem", "position": 4, "url": "https://fewerjobs.com/jobs/lila-sciences/co-op-data-extraction-b13d0f9a", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Co-Op, Data Extraction", "description": "Co-Op, Data Extraction at Lila Sciences - Cambridge, MA USA - 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
", "datePosted": "2026-06-11T18:37:50.000Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "Lila Sciences", "value": "b13d0f9a2a04e9a86f08544b7f59da2e" }, "hiringOrganization": { "@type": "Organization", "name": "Lila Sciences" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US", "addressLocality": "Cambridge" } }, "directApply": false, "incentiveCompensation": "Bonus", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 36 }, "educationRequirements": "Doctorate", "url": "https://fewerjobs.com/jobs/lila-sciences/co-op-data-extraction-b13d0f9a" } }, { "@type": "ListItem", "position": 5, "url": "https://fewerjobs.com/jobs/lila-sciences/co-op-ps-experiment-lnp-formulations-ff4edc6d", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Co-Op, PS Experiment, LNP Formulations", "description": "Co-Op, PS Experiment, LNP Formulations at Lila Sciences - Cambridge, MA USA - 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
", "datePosted": "2026-06-11T18:37:01.000Z", "employmentType": "INTERN", "identifier": { "@type": "PropertyValue", "name": "Lila Sciences", "value": "ff4edc6d74eb838eb670fbb3ef58be96" }, "hiringOrganization": { "@type": "Organization", "name": "Lila Sciences" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US", "addressLocality": "Cambridge" } }, "directApply": false, "incentiveCompensation": "Bonus", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 36 }, "educationRequirements": "no requirements", "url": "https://fewerjobs.com/jobs/lila-sciences/co-op-ps-experiment-lnp-formulations-ff4edc6d" } }, { "@type": "ListItem", "position": 6, "url": "https://fewerjobs.com/jobs/lila-sciences/co-op-lab-it-ot-security-engineer-3e49afba", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Co-Op, Lab IT/OT Security Engineer", "description": "Co-Op, Lab IT/OT Security Engineer at Lila Sciences - Cambridge, MA USA - 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.
", "datePosted": "2026-06-11T18:36:23.000Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "Lila Sciences", "value": "3e49afbac5beebfe32ee9d1763b2c7b0" }, "hiringOrganization": { "@type": "Organization", "name": "Lila Sciences" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US", "addressLocality": "Cambridge" } }, "directApply": false, "incentiveCompensation": "Bonus", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 36 }, "educationRequirements": "Bachelors", "url": "https://fewerjobs.com/jobs/lila-sciences/co-op-lab-it-ot-security-engineer-3e49afba" } }, { "@type": "ListItem", "position": 7, "url": "https://fewerjobs.com/jobs/lila-sciences/co-op-ai-security-536e9e81", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Co-Op, AI Security", "description": "Co-Op, AI Security at Lila Sciences - Cambridge, MA USA - 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
", "datePosted": "2026-06-11T18:35:50.000Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "Lila Sciences", "value": "536e9e81e4820f788b43e771ce16f1c1" }, "hiringOrganization": { "@type": "Organization", "name": "Lila Sciences" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US", "addressLocality": "Cambridge" } }, "directApply": false, "incentiveCompensation": "Bonus", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 36 }, "educationRequirements": "no requirements", "url": "https://fewerjobs.com/jobs/lila-sciences/co-op-ai-security-536e9e81" } }, { "@type": "ListItem", "position": 8, "url": "https://fewerjobs.com/jobs/lila-sciences/senior-principal-technical-program-manager-life-sciences-ai-567397ae", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Senior / Principal Technical Program Manager, Life Sciences AI", "description": "Senior / Principal Technical Program Manager, Life Sciences AI at Lila Sciences - Cambridge, MA USA; San Francisco, CA USA - 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
", "datePosted": "2026-06-11T17:27:15.000Z", "employmentType": "FULL_TIME", "identifier": { "@type": "PropertyValue", "name": "Lila Sciences", "value": "567397ae352ab492504943c885805066" }, "hiringOrganization": { "@type": "Organization", "name": "Lila Sciences" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US", "addressLocality": "Cambridge" } }, "estimatedSalary": { "@type": "MonetaryAmount", "currency": "USD", "value": { "@type": "QuantitativeValue", "minValue": 192000, "maxValue": 306000, "unitText": "YEAR" }, "description": "Base salary plus commission" }, "directApply": false, "incentiveCompensation": "Equity (Options); Bonus", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 96 }, "educationRequirements": "Masters", "url": "https://fewerjobs.com/jobs/lila-sciences/senior-principal-technical-program-manager-life-sciences-ai-567397ae" } }, { "@type": "ListItem", "position": 9, "url": "https://fewerjobs.com/jobs/lila-sciences/director-senior-director-of-new-product-planning-physical-science-301fba56", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Director / Senior Director of New Product Planning,Physical Science", "description": "Director / Senior Director of New Product Planning,Physical Science at Lila Sciences - Cambridge, MA USA - 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
", "datePosted": "2026-06-10T15:53:29.000Z", "employmentType": "FULL_TIME", "identifier": { "@type": "PropertyValue", "name": "Lila Sciences", "value": "301fba56ea91d77431b962f7b2e9b1b7" }, "hiringOrganization": { "@type": "Organization", "name": "Lila Sciences" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US", "addressLocality": "Cambridge" } }, "estimatedSalary": { "@type": "MonetaryAmount", "currency": "USD", "value": { "@type": "QuantitativeValue", "minValue": 168000, "maxValue": 272000, "unitText": "YEAR" }, "description": "Base salary plus commission" }, "directApply": false, "incentiveCompensation": "Equity (Options); Bonus", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 96 }, "educationRequirements": "Masters", "url": "https://fewerjobs.com/jobs/lila-sciences/director-senior-director-of-new-product-planning-physical-science-301fba56" } }, { "@type": "ListItem", "position": 10, "url": "https://fewerjobs.com/jobs/lila-sciences/senior-research-associate-antibody-display-e24387f3", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Senior Research Associate, Antibody Display", "description": "Senior Research Associate, Antibody Display at Lila Sciences - Cambridge, MA USA - 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,
", "datePosted": "2026-06-04T18:47:46.000Z", "employmentType": "FULL_TIME", "identifier": { "@type": "PropertyValue", "name": "Lila Sciences", "value": "e24387f3601e0b666a8d885dad9573d7" }, "hiringOrganization": { "@type": "Organization", "name": "Lila Sciences" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US", "addressLocality": "Cambridge" } }, "estimatedSalary": { "@type": "MonetaryAmount", "currency": "USD", "value": { "@type": "QuantitativeValue", "minValue": 80000, "maxValue": 102000, "unitText": "YEAR" }, "description": "Base salary plus commission" }, "directApply": false, "incentiveCompensation": "Equity (Options); Bonus", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 60 }, "educationRequirements": "no requirements", "url": "https://fewerjobs.com/jobs/lila-sciences/senior-research-associate-antibody-display-e24387f3" } }, { "@type": "ListItem", "position": 11, "url": "https://fewerjobs.com/jobs/lila-sciences/senior-software-engineer-scientific-system-of-record-1eab333b", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Senior Software Engineer, Scientific System of Record", "description": "Senior Software Engineer, Scientific System of Record at Lila Sciences - Cambridge, MA USA; San Francisco, CA USA - 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,
", "datePosted": "2026-06-03T14:07:36.000Z", "employmentType": "FULL_TIME", "identifier": { "@type": "PropertyValue", "name": "Lila Sciences", "value": "1eab333bf0627682395d65c260f6eb4a" }, "hiringOrganization": { "@type": "Organization", "name": "Lila Sciences" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US", "addressLocality": "Cambridge" } }, "estimatedSalary": { "@type": "MonetaryAmount", "currency": "USD", "value": { "@type": "QuantitativeValue", "minValue": 144000, "maxValue": 240000, "unitText": "YEAR" }, "description": "Base salary plus commission" }, "directApply": false, "incentiveCompensation": "Equity (Options); Bonus", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 60 }, "educationRequirements": "Masters", "url": "https://fewerjobs.com/jobs/lila-sciences/senior-software-engineer-scientific-system-of-record-1eab333b" } }, { "@type": "ListItem", "position": 12, "url": "https://fewerjobs.com/jobs/lila-sciences/staff-engineer-data-platform-393df835", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Staff Engineer, Data Platform", "description": "Staff Engineer, Data Platform at Lila Sciences - Cambridge, MA USA; San Francisco, CA USA - 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
", "datePosted": "2026-06-02T18:02:37.000Z", "employmentType": "FULL_TIME", "identifier": { "@type": "PropertyValue", "name": "Lila Sciences", "value": "393df835ca52aebec0f25d32490b8e74" }, "hiringOrganization": { "@type": "Organization", "name": "Lila Sciences" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US", "addressLocality": "Cambridge" } }, "estimatedSalary": { "@type": "MonetaryAmount", "currency": "USD", "value": { "@type": "QuantitativeValue", "minValue": 192000, "maxValue": 272000, "unitText": "YEAR" }, "description": "Base salary plus commission" }, "directApply": false, "incentiveCompensation": "Equity (Options); Bonus", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 96 }, "educationRequirements": "Masters", "url": "https://fewerjobs.com/jobs/lila-sciences/staff-engineer-data-platform-393df835" } }, { "@type": "ListItem", "position": 13, "url": "https://fewerjobs.com/jobs/lila-sciences/technical-program-manager-ai-data-eb56f9af", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Technical Program Manager, AI Data", "description": "Technical Program Manager, AI Data at Lila Sciences - Cambridge, MA USA; San Francisco, CA USA - 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
", "datePosted": "2026-06-01T17:24:07.000Z", "employmentType": "FULL_TIME", "identifier": { "@type": "PropertyValue", "name": "Lila Sciences", "value": "eb56f9af7fb4e47e1089157e251d1c8c" }, "hiringOrganization": { "@type": "Organization", "name": "Lila Sciences" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US", "addressLocality": "Cambridge" } }, "estimatedSalary": { "@type": "MonetaryAmount", "currency": "USD", "value": { "@type": "QuantitativeValue", "minValue": 224000, "maxValue": 336000, "unitText": "YEAR" }, "description": "Base salary plus commission" }, "directApply": false, "incentiveCompensation": "Equity (Options); Bonus", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 60 }, "educationRequirements": "Masters", "url": "https://fewerjobs.com/jobs/lila-sciences/technical-program-manager-ai-data-eb56f9af" } }, { "@type": "ListItem", "position": 14, "url": "https://fewerjobs.com/jobs/lila-sciences/electrical-engineer-i-ii-1fa7eddc", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Electrical Engineer I/II", "description": "Electrical Engineer I/II at Lila Sciences - Cambridge, MA USA - 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
", "datePosted": "2026-06-01T14:03:12.000Z", "employmentType": "INTERN", "identifier": { "@type": "PropertyValue", "name": "Lila Sciences", "value": "1fa7eddcb31ab85af6fb2cf43456ea18" }, "hiringOrganization": { "@type": "Organization", "name": "Lila Sciences" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US", "addressLocality": "Cambridge" } }, "estimatedSalary": { "@type": "MonetaryAmount", "currency": "USD", "value": { "@type": "QuantitativeValue", "minValue": 75600, "maxValue": 124800, "unitText": "YEAR" }, "description": "Base salary plus commission" }, "directApply": false, "incentiveCompensation": "Equity (Options); Bonus", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 48 }, "educationRequirements": "no requirements", "url": "https://fewerjobs.com/jobs/lila-sciences/electrical-engineer-i-ii-1fa7eddc" } }, { "@type": "ListItem", "position": 15, "url": "https://fewerjobs.com/jobs/lila-sciences/scientist-ii-mechanics-and-extreme-materials-71cd9e0e", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Scientist II, Mechanics & Extreme Materials", "description": "Scientist II, Mechanics & Extreme Materials at Lila Sciences - Cambridge, MA USA - 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
", "datePosted": "2026-06-01T14:02:35.000Z", "employmentType": "FULL_TIME", "identifier": { "@type": "PropertyValue", "name": "Lila Sciences", "value": "71cd9e0e292611f99b1aaa2d5fd36568" }, "hiringOrganization": { "@type": "Organization", "name": "Lila Sciences" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US", "addressLocality": "Cambridge" } }, "estimatedSalary": { "@type": "MonetaryAmount", "currency": "USD", "value": { "@type": "QuantitativeValue", "minValue": 128000, "maxValue": 172000, "unitText": "YEAR" }, "description": "Base salary plus commission" }, "directApply": false, "incentiveCompensation": "Equity (Options); Bonus", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 36 }, "educationRequirements": "Doctorate", "url": "https://fewerjobs.com/jobs/lila-sciences/scientist-ii-mechanics-and-extreme-materials-71cd9e0e" } }, { "@type": "ListItem", "position": 16, "url": "https://fewerjobs.com/jobs/lila-sciences/senior-research-associate-automated-chemistry-91b338b1", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Senior Research Associate , Automated Chemistry", "description": "Senior Research Associate , Automated Chemistry at Lila Sciences - Cambridge, MA USA - Senior Research Associate , Automated Chemistry Cambridge, MA USA Your Impact at LILA We are seeking a motivated and detail-oriented Sr. RA/Associate Scientist to join our high-throughput Chemistry team. In this role, you will focus on hands-on high throughput experimentation, running automated platforms such as Chemspeed robotic chemical workstations, performing high temp+pressure reactions and product screening 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 environment. What You'll Be Building - Perform chemical synthesis of small molecules in an automated platform conducting high throughput experimentation under conditions such as high temperature, high pressure conditions, work under inert environments - Carry out design-build-test DOE protocols for automated chemical synthesis - Develop and deploy integrated workflows and automation engineering solutions to expedite the transition from hit identification to lead optimization - Handling of chemicals (solvents, organics), air sensitive materials, rapid liquid and solid dispensing using automated techniques - Prepare reagents, solutions/electrolytes , samples, and consumables to ensure seamless continuation of experiments - Deploy engineering skills for troubleshooting instrument/automation errors, 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
", "datePosted": "2026-06-01T14:02:15.000Z", "employmentType": "TEMPORARY", "identifier": { "@type": "PropertyValue", "name": "Lila Sciences", "value": "91b338b1b1ebc88c1ae21d22bb1bf144" }, "hiringOrganization": { "@type": "Organization", "name": "Lila Sciences" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US", "addressLocality": "Cambridge" } }, "estimatedSalary": { "@type": "MonetaryAmount", "currency": "USD", "value": { "@type": "QuantitativeValue", "minValue": 80000, "maxValue": 118000, "unitText": "YEAR" }, "description": "Base salary plus commission" }, "directApply": false, "incentiveCompensation": "Equity (Options); Bonus", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 60 }, "educationRequirements": "Masters", "url": "https://fewerjobs.com/jobs/lila-sciences/senior-research-associate-automated-chemistry-91b338b1" } }, { "@type": "ListItem", "position": 17, "url": "https://fewerjobs.com/jobs/lila-sciences/principal-software-engineer-data-8475391c", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Principal Software Engineer, Data", "description": "Principal Software Engineer, Data at Lila Sciences - Cambridge, MA USA; San Francisco, CA USA - 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
", "datePosted": "2026-05-29T19:39:54.000Z", "employmentType": "FULL_TIME", "identifier": { "@type": "PropertyValue", "name": "Lila Sciences", "value": "8475391c8a61bf41f434e869a03c6d06" }, "hiringOrganization": { "@type": "Organization", "name": "Lila Sciences" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US", "addressLocality": "Cambridge" } }, "estimatedSalary": { "@type": "MonetaryAmount", "currency": "USD", "value": { "@type": "QuantitativeValue", "minValue": 204000, "maxValue": 348000, "unitText": "YEAR" }, "description": "Base salary plus commission" }, "directApply": false, "incentiveCompensation": "Equity (Options); Bonus", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 96 }, "educationRequirements": "Masters", "url": "https://fewerjobs.com/jobs/lila-sciences/principal-software-engineer-data-8475391c" } }, { "@type": "ListItem", "position": 18, "url": "https://fewerjobs.com/jobs/lila-sciences/director-senior-director-product-physical-sciences-91b1210a", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Director / Senior Director, Product, Physical Sciences", "description": "Director / Senior Director, Product, Physical Sciences at Lila Sciences - Cambridge, MA USA - 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
", "datePosted": "2026-05-29T17:59:53.000Z", "employmentType": "FULL_TIME", "identifier": { "@type": "PropertyValue", "name": "Lila Sciences", "value": "91b1210aa2f52b95d9a6373f5a498363" }, "hiringOrganization": { "@type": "Organization", "name": "Lila Sciences" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US", "addressLocality": "Cambridge" } }, "estimatedSalary": { "@type": "MonetaryAmount", "currency": "USD", "value": { "@type": "QuantitativeValue", "minValue": 168000, "maxValue": 272000, "unitText": "YEAR" }, "description": "Base salary plus commission" }, "directApply": false, "incentiveCompensation": "Equity (Options); Bonus", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 96 }, "educationRequirements": "Doctorate", "url": "https://fewerjobs.com/jobs/lila-sciences/director-senior-director-product-physical-sciences-91b1210a" } }, { "@type": "ListItem", "position": 19, "url": "https://fewerjobs.com/jobs/lila-sciences/enterprise-account-lead-life-sciences-591915ab", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Enterprise Account Lead, Life Sciences", "description": "Enterprise Account Lead, Life Sciences at Lila Sciences - Cambridge, MA USA - 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
", "datePosted": "2026-05-29T00:41:55.000Z", "employmentType": "FULL_TIME", "identifier": { "@type": "PropertyValue", "name": "Lila Sciences", "value": "591915abc2e144905e1baf37b124b1e0" }, "hiringOrganization": { "@type": "Organization", "name": "Lila Sciences" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US", "addressLocality": "Cambridge" } }, "estimatedSalary": { "@type": "MonetaryAmount", "currency": "USD", "value": { "@type": "QuantitativeValue", "minValue": 88000, "maxValue": 144000, "unitText": "YEAR" }, "description": "Base salary plus commission" }, "directApply": false, "incentiveCompensation": "Equity (Options); Bonus", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 60 }, "educationRequirements": "Doctorate", "url": "https://fewerjobs.com/jobs/lila-sciences/enterprise-account-lead-life-sciences-591915ab" } }, { "@type": "ListItem", "position": 20, "url": "https://fewerjobs.com/jobs/lila-sciences/co-op-protein-sciences-be52a021", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Co-op, Protein Sciences", "description": "Co-op, Protein Sciences at Lila Sciences - Cambridge, MA USA - 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
", "datePosted": "2026-05-27T13:26:35.000Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "Lila Sciences", "value": "be52a021589301121fd9b086c89946a2" }, "hiringOrganization": { "@type": "Organization", "name": "Lila Sciences" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US", "addressLocality": "Cambridge" } }, "directApply": false, "incentiveCompensation": "Bonus", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 36 }, "educationRequirements": "no requirements", "url": "https://fewerjobs.com/jobs/lila-sciences/co-op-protein-sciences-be52a021" } }, { "@type": "ListItem", "position": 21, "url": "https://fewerjobs.com/jobs/lila-sciences/engineer-ii-senior-software-engineer-simulation-324b098c", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Engineer II /Senior Software Engineer, Simulation", "description": "Engineer II /Senior Software Engineer, Simulation at Lila Sciences - Cambridge, MA USA - 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
", "datePosted": "2026-05-27T02:12:30.000Z", "employmentType": "FULL_TIME", "identifier": { "@type": "PropertyValue", "name": "Lila Sciences", "value": "324b098caa5bcb20dca022c5f7efa9ef" }, "hiringOrganization": { "@type": "Organization", "name": "Lila Sciences" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US", "addressLocality": "Cambridge" } }, "estimatedSalary": { "@type": "MonetaryAmount", "currency": "USD", "value": { "@type": "QuantitativeValue", "minValue": 120000, "maxValue": 192000, "unitText": "YEAR" }, "description": "Base salary plus commission" }, "directApply": false, "incentiveCompensation": "Equity (Options); Bonus", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 60 }, "educationRequirements": "no requirements", "url": "https://fewerjobs.com/jobs/lila-sciences/engineer-ii-senior-software-engineer-simulation-324b098c" } }, { "@type": "ListItem", "position": 22, "url": "https://fewerjobs.com/jobs/lila-sciences/director-senior-director-new-product-planning-life-sciences-a292b7ea", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Director / Senior Director, New Product Planning, Life Sciences", "description": "Director / Senior Director, New Product Planning, Life Sciences at Lila Sciences - Cambridge, MA USA - 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
", "datePosted": "2026-05-26T19:31:16.000Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "Lila Sciences", "value": "a292b7ea0f9cf891cd47afedf9490a5e" }, "hiringOrganization": { "@type": "Organization", "name": "Lila Sciences" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US", "addressLocality": "Cambridge" } }, "directApply": false, "incentiveCompensation": "Equity (Options); Bonus", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 96 }, "educationRequirements": "Doctorate", "url": "https://fewerjobs.com/jobs/lila-sciences/director-senior-director-new-product-planning-life-sciences-a292b7ea" } }, { "@type": "ListItem", "position": 23, "url": "https://fewerjobs.com/jobs/lila-sciences/senior-software-engineer-app-7858bfd8", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Senior Software Engineer, App", "description": "Senior Software Engineer, App at Lila Sciences - Cambridge, MA USA; San Francisco, CA USA - 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
", "datePosted": "2026-05-26T16:55:46.000Z", "employmentType": "FULL_TIME", "identifier": { "@type": "PropertyValue", "name": "Lila Sciences", "value": "7858bfd84feeb1b625afe866fa9c12ab" }, "hiringOrganization": { "@type": "Organization", "name": "Lila Sciences" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US", "addressLocality": "Cambridge" } }, "estimatedSalary": { "@type": "MonetaryAmount", "currency": "USD", "value": { "@type": "QuantitativeValue", "minValue": 144000, "maxValue": 240000, "unitText": "YEAR" }, "description": "Base salary plus commission" }, "directApply": false, "incentiveCompensation": "Equity (Options); Bonus", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 60 }, "educationRequirements": "Masters", "url": "https://fewerjobs.com/jobs/lila-sciences/senior-software-engineer-app-7858bfd8" } }, { "@type": "ListItem", "position": 24, "url": "https://fewerjobs.com/jobs/lila-sciences/scientist-ii-senior-characterization-scientist-condensed-matter-fdb94709", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Scientist II/Senior Characterization Scientist, Condensed Matter", "description": "Scientist II/Senior Characterization Scientist, Condensed Matter at Lila Sciences - Cambridge, MA USA - 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
", "datePosted": "2026-05-26T16:28:43.000Z", "employmentType": "FULL_TIME", "identifier": { "@type": "PropertyValue", "name": "Lila Sciences", "value": "fdb9470935ce91bba3e5444d5dcbc3c2" }, "hiringOrganization": { "@type": "Organization", "name": "Lila Sciences" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US", "addressLocality": "Cambridge" } }, "estimatedSalary": { "@type": "MonetaryAmount", "currency": "USD", "value": { "@type": "QuantitativeValue", "minValue": 128000, "maxValue": 198000, "unitText": "YEAR" }, "description": "Base salary plus commission" }, "directApply": false, "incentiveCompensation": "Equity (Options); Bonus", "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 60 }, "educationRequirements": "Doctorate", "url": "https://fewerjobs.com/jobs/lila-sciences/scientist-ii-senior-characterization-scientist-condensed-matter-fdb94709" } } ] } ] }