AI Residency Program in Material Science - 2026 Cohort

AI Resident – 2026 CohortThe AI Residency Program presents a unique, full-time research opportunity aimed at connecting cutting-edge academic research with practical industry applications, specifically in the realm of AI for materials science. As a resident, you will collaborate closely with leading scientists and engineers at Lila Sciences on impactful, open-science projects, allowing you to either delve into fundamental research or apply innovative solutions to real-world challenges.Duration: 6–12 months (with the possibility of extension)Start Dates: Initial cohort members will begin in January 2026, with rolling applications and additional intakes scheduled for Summer and Fall 2026.Cohort Size: A select group of talented residentsMentorship: Dedicated pairing with technical mentors and constructive feedback from diverse cross-functional teamsResources: Access to proprietary datasets, high-performance computing resources, and Lila’s comprehensive research infrastructureResearch areas of focus include ML-accelerated simulations, Bayesian methods, representation learning, generative models, agentic science, and ML-driven automation.

Role overview Lila Sciences uses its autonomous science platform to tackle challenges in materials discovery, from advanced structural materials and coatings for harsh environments to clean energy catalysts and carbon capture technologies. The Materials Science experimentation team moves quickly and relies on solid operational management to keep projects on track. The Materials Technical Program Manager plays a key role in maintaining this operational discipline. This position focuses on managing execution: overseeing project plans, coordinating dependencies across teams, and removing obstacles before they slow progress. The Technical Program Manager works closely with Materials Science domain leaders, who set the scientific direction, and takes responsibility for building the structure and processes that enable rapid, scalable experimentation. This role does not direct scientific research but ensures the environment supports high-velocity scientific work. It suits someone who enjoys program management in complex technical fields. What you will do Direct daily program execution for the Materials Science experimentation team by managing project plans, tracking milestones, and keeping autonomous science programs on schedule. Act as the main operational point of contact between the Materials Science team and partners in Automation, ML, and Engineering. Communicate needs, align priorities, and resolve cross-functional dependencies. Translate scientific objectives into structured workstreams that support efficient and scalable autonomous experimentation. Lead program rituals such as sprint planning, stand-ups, and retrospectives. Ensure meetings are purposeful, documentation is thorough, and follow-up actions are completed. Collaborate with domain leaders to identify blockers, risks, and interdependencies early, and drive resolution. Support delivery of commercial contracts by working with the Product & Revenue team to define, monitor, and communicate program commitments to stakeholders. Contribute to capacity planning and resource allocation in partnership with scientific leadership. Requirements Minimum 10 years of program or project management experience in materials science, advanced manufacturing, or deep tech settings. Bachelor’s degree in Materials Science, Chemistry, Chemical Engineering, or a related discipline. Proven ability to manage multiple concurrent programs in evolving, ambiguous environments. Strong motivation to build programs from the ground up; experience in early-stage startups is a significant advantage. Location Cambridge, MA, USA

Your Impact at Lila Join our innovative Physical Sciences team as a Research Scientist, where you'll spearhead the development of cutting-edge generative modeling techniques to address significant challenges in materials science. Collaborate with a diverse team of machine learning experts, software engineers, and materials scientists to create and implement generative models tailored to Lila’s distinctive materials design needs. This role not only advances the forefront of scientific research but also allows you to witness the tangible impact of your work on materials being refined in our experimental facilities on a daily basis. What You’ll Be Building Generative Models: Create and deploy generative models, including Diffusion and flow-based models, alongside advanced sampling methods to solve diverse materials design challenges. Data Representation: Innovate architectures and approaches that incorporate physics-informed constraints and domain knowledge to model materials across a wide chemical space for real-world applications. Real-World Validation & Deployment: Develop and verify datasets, frameworks, and methodologies for validating generative models with experimentally realized materials. Collaborate with software engineers and product managers to implement these solutions. Cross-Functional Partnership: Engage with R&D leadership, product managers, and automation specialists to translate scientific inquiries into data requirements and modeling strategies. What You’ll Need to Succeed Proficient in Python and deep learning frameworks with experience in end-to-end workflow deployment. Familiarity with contemporary generative modeling techniques, including diffusion models and geometric deep learning, and their applications in scientific disciplines such as materials science, chemistry, and biology. A foundational understanding of materials science, physics, and chemistry, and the ability to incorporate these principles into generative model design. A self-motivated and independent thinker with keen attention to detail. Demonstrated experience in industry or notable academic achievements. Strong communication and presentation skills, with the ability to convey complex technical information effectively. Aspirations to collaborate with highly skilled teams in a dynamic, entrepreneurial, and technical environment.

Lila Sciences seeks a Life Science Program Lead based in Cambridge, MA. This position centers on guiding research programs from planning through delivery, with a focus on advancing key initiatives in the life sciences. The role involves close collaboration with teams spanning multiple scientific fields and plays a key part in supporting project success. Main responsibilities Manage project planning and oversee daily execution for life science programs Work alongside multidisciplinary teams to move research initiatives forward Track progress and help ensure programs meet their objectives What we look for Genuine interest in science and research Dedication to maintaining high standards and achieving program goals Background in working with or leading cross-functional teams

Your Role at Lila Sciences As a key contributor to our Physical Sciences division, you will focus on advancing the field of in silico materials discovery techniques. Your responsibilities will involve designing autonomous workflows and data-driven pipelines that effectively integrate simulation with artificial intelligence. You will lead the development of strategies that empower agents to analyze simulation data, derive hidden insights, and facilitate hypothesis generation and materials design. Your innovative approach will enhance our utilization of simulation outputs for discovery, fostering a seamless integration of physics-based modeling with AI reasoning systems. Collaboration with specialists in simulation, AI agents, and experimental automation will be pivotal as we strive to redefine the landscape of digital discovery. Key Contributions Create cutting-edge workflows for in silico materials discovery that link physics-based simulations and generative AI models. Develop intelligent systems where AI agents autonomously design, execute, interpret, and optimize simulations. Establish frameworks that maximize the utility of simulation data for prediction, inference, and discovery, with features like automatic data extraction and model training. Prototype and assess novel paradigms for simulation-aware agents that learn from and interact with scientific simulations. Design data structures, metadata specifications, and APIs to ensure smooth information transfer among simulations, machine learning models, and experimental data repositories. Build scalable, modular workflows that connect electronic structure, atomistic, and mesoscale simulations with AI-driven reasoning and hypothesis generation. Work alongside computational scientists, machine learning professionals, and platform engineers to integrate in silico discovery pipelines into Lila’s overarching scientific superintelligence framework. Qualifications for Success PhD or equivalent experience in Computer Science, Materials Science, Chemistry, Physics, Applied Mathematics, or related fields. Strong background in in silico materials discovery, computational materials modeling, and/or simulation workflow design. Familiarity with large language models and their applications in scientific research. Experience in developing AI-driven or agentic workflows for scientific automation and discovery. Proficient programming skills in Python and scientific computing libraries.

Lila Sciences is forming a dedicated AI safety team to address the unique risks and challenges posed by scientific superintelligence. The company seeks a Senior or Principal Technical Program Manager to guide the operational side of AI safety research, helping to shape how the team approaches complex and evolving problems. Role overview This Technical Program Manager position connects research, engineering, model development, policy, and executive leadership. The work involves translating fast-moving research into structured, accountable plans. While this is not a research role, curiosity about the technical aspects of AI safety is important. The team values clear communication and the ability to bring clarity and structure as the organization expands. What you will do Act as the primary communication link between the AI safety team and technical, research, and scientific groups. Share complex results and coordinate resource needs. Establish information flows to keep teams connected. Promote accountability within cross-functional, distributed teams, building consensus and trust through open communication and sound judgment. Support rapid experimentation and iteration by refining and applying effective program management practices. Create clear documentation and reports to communicate vision, track progress, and ensure alignment with company objectives. Accurately represent program status and risks, even in uncertain or shifting situations. Requirements Bachelor’s or Master’s degree in Computer Science, Engineering, Life Sciences, or a related discipline. Minimum of 6 years of program or project management experience in technology or life sciences. Demonstrated success in program management, leading cross-functional teams, and delivering projects. Strong analytical and problem-solving abilities, with skill in turning technical requirements into actionable plans. Excellent written and verbal communication skills, including experience preparing executive-level documents, roadmaps, and updates. Location This position is based in Cambridge, MA or San Francisco, CA, USA.

Your Contribution at Lila We are looking for a dynamic Product Marketing Manager or Senior Manager specializing in Physical Sciences to spearhead the go-to-market strategy for Lila’s innovative AI-driven materials and chemistry platform. You will work at the intersection of: Physical science domains: catalysts, sorbents, coatings, lipid nanoparticles (LNPs), quantum materials, and extreme-environment materials. Autonomous experimentation: flow chemistry ecosystems, high-throughput electrocatalysis, advanced characterization workcells. AI & modeling: property prediction, design spaces, Bayesian optimization, and LLM-augmented optimization. Your goal is to articulate this technological framework into clear narratives, compelling product launches, and credible evidence that resonates with: Industrial R&D and technology leaders in energy, chemicals, and manufacturing. Sustainability and advanced materials teams. Strategic partners, national laboratories, and federal programs. What You'll Develop Go-To-Market Strategy & Launch Define and implement go-to-market plans for new physical science capabilities (e.g., catalyst discovery campaigns, LNP property prediction, flow-reactor optimization, sorbent and coating workflows), transitioning technical milestones into impactful market moments with clear offerings, timelines, and success metrics. Translate product milestones (new AI-driven feature demonstrations, CLUE campaign results, partner-ready presentations) into launch-ready packages, incorporating positioning, messaging, collateral, and enablement materials. Align product launches with key commercial initiatives in physical sciences (Accelerated By Lila, Lila Superscientists, joint development ventures, and agentic science offerings) to maximize market adoption and impact. Messaging & Positioning Develop concise, value-driven messaging that illuminates how Lila’s platform accelerates: Catalyst and materials discovery for green hydrogen and electrochemistry. LNP design and advanced materials development for transport and separations. Discovery of coatings, sorbents, and quantum/extreme-environment materials. Customize narratives for R&D executives, technical specialists, and corporate innovation/sustainability leaders, distinctly positioning Lila against traditional HTE vendors, point-solution AI tools, and contract research organizations (CROs). Content Creation Produce technical and visionary content, including: Domain-specific one-pagers and solution briefs (electrocatalysis, LNPs, sorbents, coatings, quantum materials).

Join lilasciences as a Technical Program Manager in the vibrant city of Cambridge, MA. In this role, you will lead cross-functional teams to drive projects that enhance our innovative life sciences solutions. Your expertise will guide the successful execution of programs from inception through completion, ensuring alignment with our strategic goals.

Make a Significant Impact at Lila Sciences Lila Sciences is actively seeking a dynamic Associate Director or Director of Program Management in the Life Sciences sector. This pivotal role is designed for an experienced leader who will spearhead the planning, execution, and successful delivery of therapeutic programs within Lila's innovative platform. The successful candidate will directly manage projects across internal science, engineering, and automation teams dedicated to developing molecules for our partners, ensuring timelines, resource allocation, and progress tracking are meticulously maintained across diverse, multidisciplinary programs. In this capacity, you will also act as a key operational liaison with our pharmaceutical and biotech partners, guaranteeing seamless governance, communication, and delivery of project milestones. These programs involve significant scientific complexity and commercial importance, necessitating a proactive approach to driving execution in fast-paced, technically challenging environments while adeptly managing partner relationships and expectations. Your Responsibilities Lead comprehensive project management for active therapeutic initiatives, overseeing timeline development, resource coordination, milestone tracking, and dependency management among product, science, machine learning, and automation teams. Instill a sense of discipline in day-to-day execution, ensuring internal teams are aligned with clear priorities and deliverables, while swiftly addressing any identified blockers. Facilitate discussions regarding resource allocation and make trade-off decisions across a complex landscape of priorities, such as balancing AI model training experiments with immediate partnership deliverables. Create and uphold program-level reporting structures, including status updates, milestone tracking, and resource utilization insights for both internal leadership and external stakeholders. Proactively identify, communicate, and manage program risks, escalating issues as necessary and maintaining transparency with scientific and executive leadership. Organize and lead effective internal program meetings, decision-making forums, and reviews, ensuring the right information is disseminated to the appropriate stakeholders in a timely manner. Partner Engagement Act as the primary operational interface with partner organizations, coordinating joint governance, managing deliverable timelines, and fostering alignment on project milestones and expectations. Translate internal program statuses into structured updates for external partners, ensuring clarity while preserving internal complexities. Support alliance obligations, including participation in joint steering committees, milestone reporting, and deliverable handoffs.

Your Impact at Lila Join our dynamic and innovative AI safety team at Lila Sciences, where we prioritize talent and agency to mitigate risks associated with scientific superintelligence. Our mission is to craft and execute a tailored safety strategy that aligns with our unique objectives and deployment methods. This role involves creating technical safety strategies, engaging with the broader scientific community, and producing critical technical documentation, including evaluations focused on risk and capability assessments. What You’ll Be Creating Design and implement capability evaluations to assess scientific risks, particularly from cutting-edge scientific models integrated with automated physical laboratories across biological and physical sciences. Lead and coordinate threat modeling sessions with both internal and external scientific experts, keeping abreast of emerging technologies and use cases. Develop and manage high-quality training and testing datasets for evaluations and safety systems. Analyze risks associated with Lila’s capabilities and their interactions with the broader ecosystem of general-purpose frontier models and specialized scientific tools. Contribute to high-quality research initiatives focused on scientific capability evaluation and restriction as needed. Assist with external communications regarding Lila’s safety initiatives. What You’ll Need to Succeed A PhD in biological sciences (e.g., molecular biology, virology, computational biology) or physical sciences (e.g., materials science, physics, chemistry, or chemical engineering), or similar experience. Proficient in scientific computing related to biological or physical sciences. Familiarity with dual-use research and dissemination issues within relevant safety, regulatory, and governance frameworks (e.g., export control, biological and chemical conventions). Exceptional communication skills to convey complex technical concepts to non-expert audiences effectively. Proven ability to lead internal and external teams in developing Lila's perspective on biological and physical risks. Demonstrated capacity to collaborate with cross-functional stakeholders (science, AI, product, policy) in a complex environment.

Your Contribution at Lila At Lila, we are assembling a highly skilled and proactive AI safety team that will collaborate with all core departments, including science, model training, and lab integration, to effectively address risks associated with scientific superintelligence. The primary mission of this team is to develop and execute a tailored safety strategy that aligns with Lila's unique objectives and deployment methodologies. This will encompass formulating technical safety strategies, engaging with the broader ecosystem, and producing technical documentation such as risk and capability assessments and safety measures. Your Responsibilities Establish the research and development strategy for Lila’s safety framework concerning biological and physical risks. Design and implement capability evaluations to identify scientific risks (both recognized and novel) arising from state-of-the-art scientific models integrated with automated physical laboratories across biological and physical sciences. Lead and coordinate threat modeling sessions with both internal and external scientific experts, including monitoring advancements in technologies and their applications. Create and curate high-quality training and testing datasets for evaluations and safety systems. Assess risks linked to Lila’s capabilities, considering interactions with the broader ecosystem of capabilities (including general-purpose frontier models and specialized scientific tools). Contribute to extensive, high-quality research initiatives when needed for scientific capability evaluation and restriction. Engage in external communications regarding Lila’s safety initiatives. Qualifications for Success A PhD in a biological sciences field (e.g., molecular biology, virology, computational biology) or a physical sciences field (e.g., materials science, physics, chemistry, chemical or nuclear engineering) or equivalent experience. Proven track record in setting research directions for open issues surrounding dual-use risks in biological and physical sciences. Experience in scientific computing within the biological or physical sciences. Understanding of dual-use research and dissemination issues in relation to relevant safety, regulatory, and governance frameworks (e.g., export controls, biological and chemical-related conventions). Excellent communication skills, capable of articulating complex technical concepts to non-specialist audiences. Demonstrated leadership capabilities in guiding teams of internal and external collaborators in developing Lila's perspective on biological and physical risks.

Join the Cambridge Boston Alignment InitiativeThe Cambridge Boston Alignment Initiative (CBAI) is a nonprofit organization dedicated to pioneering research and educational initiatives aimed at ensuring a safe and beneficial transition to advanced AI systems. Our mission focuses on producing original research and accelerating AI safety through comprehensive fellowship programs.Since our initial summer fellowship cohort, we have achieved significant milestones, including published papers at prominent conferences such as NeurIPS and ICLR. As we enter 2026, we are poised for rapid growth, planning multiple fellowship cycles and expanding our team significantly.Refer candidates to us, and if hired, you will receive a $5,000 referral bonus!Your RoleAs a Research Program Associate, you will collaborate closely with Research Managers, mentors, and program leadership to design and refine the frameworks that empower fellows to excel in their research. This is a pivotal program-building position where you will create systems for mentor matching, research goal tracking, progress assessment, and problem-solving support for fellows.Program Design & Development (0.6 FTE)Enhance CBAI's fellow selection process and program deliverables.Identify effective outreach channels and manage outreach campaigns for future iterations.Develop evaluation frameworks to assess fellow progress and program effectiveness.Implement structural improvements based on feedback from fellows, mentors, and research managers.Assist in the planning and execution of fellowship events, such as speaker series and poster days.Fellow & Mentor Experience (0.4 FTE)Design and oversee the onboarding process for mentors, ensuring a positive experience.

Your Role at Lila SciencesWe are on the lookout for exceptionally skilled Forward Deployed Engineers across various levels (Engineer, Senior Engineer, and Lead Engineer) to be a part of our dynamic team. Our FDEs are versatile professionals with a wide array of skills and specialized knowledge in one or more areas. This particular role in Physical Sciences demands a solid background in chemistry and materials science within an industrial manufacturing environment.As an FDE, you will work closely with our internal biotech and materials science teams as well as with external clients, immersing yourself in their challenges and swiftly developing solutions that enhance their research capabilities. You will utilize our AI and software platform tools to create custom features that cater to each customer’s specific needs. This role transcends conventional software development; it's a fast-paced, AI-driven engineering position where you will deploy production code in days rather than months.Your ContributionsCrafting, wrapping, and adapting specialized tools for data analysis, process optimization, molecular modeling, and more.Implementing tailored scientific workflows that connect with industrial instruments (PLCs, control software) and data systems (ERP, MES, SCADA).Establishing real-time data pipelines that convert complex scientific data into actionable insights.Designing user-friendly interfaces that make sophisticated AI/ML functionalities accessible to scientists.Engineering solutions that evolve from proof-of-concept to enterprise-wide implementation.

Your Impact at Lila Sciences Lila Sciences is seeking a dynamic and visionary Director of Product, Life Sciences to lead our innovative product strategies. In this pivotal role, reporting directly to the Vice President of Life Science Product, you will be at the forefront of enhancing our therapeutic research and development capabilities, shaping the future of drug discovery, chemical synthesis, and scientific intelligence. What You'll Be Building Steer the strategic direction for developing breakthrough AI solutions in drug discovery, chemical synthesis, and molecular characterization. Convert strategic goals into comprehensive target product profiles (TPPs) and development campaigns that will empower our science and engineering teams to achieve groundbreaking innovations in life sciences. Lead customer and internal-user discovery initiatives, acting as the primary technical liaison between external customers and partners. Pinpoint and cultivate product opportunities driven by real-world discovery challenges, collaborating closely with stakeholders to ensure relevance and maximize downstream value. Transform insights into precise product requirements, acceptance criteria, and experimental plans that will guide our engineering and science teams. Oversee product execution from inception to launch, leading cross-functional teams across various disciplines including science, machine learning, automation, and software engineering. Manage resource allocations effectively (budget, compute, lab access, personnel) against a complex array of priorities. Establish clear success metrics and milestones, communicating progress to the organization, including executive leadership. What You'll Need to Succeed Advanced degree (MS, PhD, or equivalent experience) in medicinal chemistry, chemical biology, chemical engineering, biochemistry, or a related field, with a solid foundation in experimental science. 7+ years of experience in Product Management, particularly in developing new or experimental products in drug discovery, molecular profiling, machine learning, or scientific software development. In-depth understanding of drug development processes, molecular and cellular research tools, as well as wet and dry lab workflows. Experience with small molecule discovery workflows (e.g., lead optimization, ADMET profiling, synthesis planning) is highly preferred.

Your Role at Lila Sciences Lila Sciences is an innovative startup dedicated to creating a strong, evidence-based storytelling approach that integrates AI, science, and technology. We are looking for a detail-oriented, newsroom-experienced Senior Writer / Editorial Lead to become a vital member of our MarCom team. This trusted team collaborates closely with scientists, engineers, and executive leadership. Your mission will be to drive our editorial initiatives forward swiftly and credibly, ensuring that our narratives are both accurate and accessible to a diverse audience, ranging from technical experts to the general public. This position is pivotal in translating complex scientific concepts into impactful, reliable stories. Your Contributions Collaborate with senior executives to define Lila's editorial objectives, priorities, and long-term vision. Build and oversee a diverse team of writers (both contract and full-time), assigning stories and managing the drafting process. Craft and refine high-profile articles that enhance visibility, while developing scalable processes to maintain quality as we grow. Work with scientists, engineers, and leadership to convert intricate research into credible narratives that resonate with customers, partners, governmental bodies, investors, and potential hires. Generate multi-layered content suitable for various formats, including social media posts, blogs, technical briefs, and presentations. What You'll Achieve Establish Lila's external writing standards, voice, and editorial integrity. Identify timely and relevant topics for publication, while discerning what should be omitted. Develop and manage an editorial calendar that aligns with business goals and scientific milestones. Team Leadership and Writer Development Lead a focused editorial team and a network of freelance writers. Provide clear guidelines, swift feedback, and mentorship throughout the writing process. Set standards for sourcing quality content, ensuring accurate fact-checking and prompt delivery. Hands-on Writing and Editing Create high-quality articles, explanatory pieces, technical overviews, case studies, and scripts that exemplify narrative clarity and accuracy. Executive Interviews and Ghostwriting Conduct interviews with senior executives (CEO, CSO, CTO, and other scientific leaders) to produce articles, opinion pieces, Q&As, and narrative updates on Lila's research, platform, and scientific achievements. Collaborate on ghostwriting and co-writing projects for leaders while maintaining their unique voice and technical precision.

Lila Sciences, located in Cambridge, MA, develops technology for chemical discovery through its autonomous science platform. The company’s projects include advanced synthesis, new catalyst development, and sustainable molecular design for applications in energy and industry. The Chemistry experiment team is searching for a Technical Program Manager to coordinate complex scientific programs in close partnership with the Chemistry domain lead and teams across the organization. Role overview This position centers on managing the daily operations and long-term planning for the Chemistry experiment team. The Technical Program Manager will keep project plans up to date, monitor milestones, and help ensure scientific programs meet both deadlines and quality standards. Acting as the main point of contact between Chemistry and platform partners, such as Automation, Machine Learning, and Engineering, the role involves communicating needs, aligning priorities, and making sure dependencies are clear and managed. What you will do Maintain project plans, track progress, and ensure delivery of scientific programs on schedule and to quality expectations. Coordinate with cross-functional partners to communicate requirements, align on priorities, and track dependencies. Break down scientific goals into actionable workstreams to support scalable autonomous experimentation. Lead program routines, including sprint planning, stand-ups, and retrospectives, with a focus on purposeful meetings and clear documentation. Work with Chemistry leads to surface and address blockers, risks, and interdependencies early in the process. Support execution of commercial contracts by collaborating with the Product & Revenue team, ensuring commitments are defined, tracked, and communicated. Assist with capacity planning and resource coordination alongside scientific leadership. Requirements At least 10 years of program or project management experience in chemistry, pharmaceuticals, or deep tech sectors. Bachelor’s degree in Chemistry, Chemical Engineering, or a related discipline. Proven ability to manage several programs in complex, evolving environments. Experience building programs from the ground up and working in early-stage startups is a strong plus. Skilled in coordinating with both scientific and operational teams, and managing cross-functional groups.

Role Overview Harvard University invites applications for the Director of the Fellowship Program at the Hutchins Center for African and African American Research. This position leads the strategic development and daily management of fellowship programs that advance academic excellence and support innovative research in the social sciences. Key Responsibilities Oversee all aspects of fellowship program operations, from recruitment to alumni engagement Develop and refine program strategy to foster a vibrant academic community Collaborate with faculty, scholars, and community partners to expand research and learning opportunities Champion diversity and inclusion in all program activities and selection processes Support fellows in their research and professional development Qualifications Extensive academic experience, preferably in the social sciences Demonstrated leadership in program management or academic administration Strong commitment to advancing diversity and inclusion in research Ability to build relationships with faculty, scholars, and community stakeholders Location This position is based in Cambridge, Massachusetts.

Isomorphic Labs is hiring a Head of Translational Sciences, Drug Design for its Cambridge, MA site. This senior leader will guide the translational strategy across the drug discovery portfolio, working closely with teams at the intersection of biology, artificial intelligence, and medicine. The position plays a central role in shaping how new therapies are advanced and how disease mechanisms are understood within the organization. Role overview This leadership role focuses on driving translational approaches for drug design. The Head of Translational Sciences will collaborate with colleagues to advance projects from early discovery through clinical evaluation. The team’s work includes strengthening biological insights into disease, supporting the selection of drug targets, and developing biomarkers to track pharmacodynamic effects and target engagement in clinical studies. Translational Sciences at Isomorphic Labs The Translational Sciences group in Boston is essential to the company’s mission. This team informs critical decisions across the portfolio, guiding projects through various stages of research and development. Close collaboration with other teams ensures that scientific progress benefits from both biological expertise and AI-driven insights. Company background Founded in 2021, Isomorphic Labs (IsoLabs) builds on the breakthroughs of the AlphaFold system. The company brings together drug discovery experts and machine learning specialists to develop predictive and generative AI models that accelerate scientific progress. The team uses AI to model complex biological systems, design new therapeutic molecules, and pursue treatments for challenging diseases. Ongoing innovation in model architecture supports work across diverse therapeutic areas and modalities. Culture Isomorphic Labs values interdisciplinary collaboration and a supportive environment. Every team member contributes to the shared goal of addressing serious diseases through AI-driven science and digital biology.

Your Impact at Lila As a Machine Learning Engineer on the Physical Sciences team, you will play a pivotal role in developing and managing comprehensive, scalable machine learning workflows. These workflows will address a wide range of scientific challenges in materials science, chemistry, and physical sciences. Your contributions will be instrumental in advancing research initiatives focused on cutting-edge algorithms, driving towards the establishment of scientific superintelligence to tackle today’s most significant challenges in physical sciences. What You Will Build Design, implement, and sustain end-to-end ML pipelines, encompassing data ingestion, feature engineering, model training, evaluation, deployment, and monitoring. Productionize models and services while ensuring robust testing, observability, and documentation in collaboration with cross-functional software teams; develop CI/CD workflows and automated evaluations to facilitate safe and frequent releases. Work closely with domain scientists and platform engineers to translate research insights into high-performing, scalable systems. Participate in technical design reviews, establish coding standards, and mentor colleagues on best practices. What You’ll Need to Succeed BS, MS, or PhD in Computer Science, Engineering, or a related quantitative field, or equivalent industry experience. A solid foundation in Python software engineering, including testing, packaging, and typing; experience with machine learning frameworks such as PyTorch and Hugging Face. Experience deploying ML services in cloud-based environments (FastAPI/GRPC, containers, orchestration, cloud infrastructure). Hands-on experience with deploying models in production systems (LLMs, multimodal models, databases, RAG) along with strong debugging and profiling skills. Effective communication and collaboration in cross-functional settings. Bonus Points For Familiarity with scientific or engineering domains (materials, chemistry, physics) and related data formats/benchmarks. Experience in GPU optimization (CUDA, Triton, compilation, distributed training). Previous contributions to open-source ML or scientific software. Experience with workflow orchestration, data provenance, or large-scale computing environments. About Lila Lila Sciences stands as the pioneering platform for scientific superintelligence, offering an autonomous laboratory dedicated to life sciences, chemistry, and materials science. We are at the forefront of a new era of limitless discovery, harnessing AI to revolutionize research and innovation in these fields.

Your Contribution at Lila Sciences Be a part of innovating the scientific landscape! We are on the lookout for a talented software engineer with a background in life sciences to enhance our data science team. In this role, you will collaborate closely with software engineers, laboratory scientists, and machine learning engineers to develop state-of-the-art tools for automated scientific analysis and beyond. Your expertise in web services and data engineering, particularly in Python development for scientific applications, will be crucial. If you excel in a collaborative and fast-paced environment while adhering to best practices in git, development workflows, and user-centered design, we encourage you to apply! Your Responsibilities Engage in the complete software development life cycle, concentrating on the design, implementation, and maintenance of software services. Create reusable code and libraries to enhance efficiency and scalability. Ensure development aligns with strategic objectives, facilitating software that meets broader organizational requirements. Oversee git repositories, manage the team’s Jira board and Notion Hub, advocate for best practices, assist laboratory scientists in utilizing new tools, and cultivate a collaborative development culture. Collaborate directly with scientists to identify gaps and unmet needs, crafting customized software solutions for data management, LIMS functionality, and data automation. Advocate for infrastructure as code and devise efficient deployment strategies. Produce clear, concise documentation for both engineering teams and end users. Required Qualifications A minimum of 2 years of experience in software development within a commercial environment. High proficiency in Python programming. Solid understanding of git best practices. Strong listening skills and the patience to thoroughly understand user challenges. Experience in implementing scalable software solutions. Exceptional problem-solving abilities and a team-oriented mindset. Excellent communication skills for effective collaboration with team members and stakeholders. A proactive self-starter with independent thinking capabilities and keen attention to detail. Desire to work with highly skilled and dynamic teams in a fast-paced, entrepreneurial technical setting. Preferred Qualifications A background in biological sciences. Familiarity with data science and machine learning libraries (e.g., pandas, numpy, scipy). Knowledge of modern developer tools (e.g., pydantic, pyright, uv). Understanding of Kubernetes, ArgoCD, and GitHub Actions.