Life Science Program Lead at Lila Sciences | Cambridge, MA

Your Contribution at Lila Sciences At Lila Sciences, we believe that scientific discoveries only make a meaningful impact when they are effectively communicated. Our Government sector team acts as a vital link between exceptional researchers and the government clients and internal stakeholders who rely on their insights. We are on the lookout for a Physical Science Technical Writer who excels in this pivotal role. In this role, you will report to the Head of Government Partnerships and act as a crucial connector between our scientific team and the stakeholders who support and implement their research findings. You will take complex technical information, methodologies, and data and translate them into clear, credible, and actionable language. Collaborating closely with our Grants Manager, who oversees the proposal process, you will craft the technical and scientific elements that lie at the core of successful submissions. As a quality assurance gatekeeper, you will leverage your domain expertise to identify scientific inaccuracies, challenge vague claims, and ensure that all deliverables adhere to the highest standards of technical excellence before they are finalized. This position transcends mere documentation maintenance; it is a strategic communication role designed for someone with enough scientific acumen to grasp intricate research concepts and the communication prowess to convey them to non-specialist audiences. Importantly, we seek a candidate who is adept at utilizing AI tools as a productivity enhancer: a writer who can harness LLMs, create streamlined automation processes, or design workflow tools that empower individuals to achieve remarkable outcomes. Key Responsibilities Translate Scientific Research for Government StakeholdersEngage directly with Lila's scientists and engineers to fully comprehend their research, then generate briefings, white papers, and executive reports that effectively communicate scientific insights to government clients, program officers, and agency stakeholders, adjusting tone, depth, and format as needed. Proposal and Grant Development SupportCollaborate with the Grants Manager to create the technical and scientific components of proposal applications (technical narratives, methods descriptions, scientific appendices) for initiatives funded by the DOE and UK, ensuring consistency in tone, format, and compliance throughout. Content Repository and Knowledge ManagementDevelop and maintain a repository of reusable, version-controlled technical content, including vetted scientific descriptions, methods summaries, capability statements, and regulatory narratives, to facilitate efficient knowledge transfer.

Your Contribution at Lila Lila Sciences is in search of a skilled and knowledgeable Technical Science Writer / Content Creator to play a pivotal role in articulating our scientific endeavors. This position resembles that of a managing editor, where you will convert intricate scientific concepts into precise and comprehensible content, while also mentoring a select group of contract writers to maintain exceptional storytelling quality. This role is crucial as impactful science can only transform the world when it is both understood and trusted. Your contributions will assist: Customers in grasping what Lila enables, its functionality, and its reliability. Partners in identifying opportunities for collaboration and understanding effective integration. Government and public-sector partners in evaluating relevance, safety, and societal benefits. Investors in comprehending the technical advantages, platform strategy, and long-term vision. Future employees in recognizing our ambitions, rigorous standards, and the challenges they will tackle. Your Responsibilities Draft and refine high-quality articles, explainers, technical summaries, case studies, and multimedia scripts that convey complex scientific themes with precision and narrative strength. Produce content that links what we are developing to its significance, emphasizing scientific integrity, measurable outcomes, and responsible communication. Targeted Storytelling Customize messaging and formats to meet the diverse needs of stakeholders: Customers: practical results, workflows, reliability, and real-world constraints. Partners: collaborative roadmaps, innovation narratives, and integration stories. Government entities: public benefits, validation, safety, and responsible use. Investors: distinctiveness, defensibility, and platform direction. Candidates: our mission, culture of rigor, and the problems they will address. Develop “layered” content assets, allowing a core story to be adapted across various formats (e.g., social media posts, blogs, technical briefs, presentations). Editorial Leadership Delegate tasks to contract writers, establish clear guidelines, and provide constructive feedback to ensure quality, coherence, and a consistent voice.

We are seeking a highly skilled and motivated SOP Writer III to join our dynamic team in Cambridge. The ideal candidate will play a crucial role in developing and refining standard operating procedures (SOPs) that ensure operational excellence across the organization. This is an exciting opportunity to contribute to the success of our projects through meticulous documentation and process improvement.

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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.

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We are seeking a highly skilled SOP Writer III to join our dynamic team. In this role, you will be responsible for developing and refining Standard Operating Procedures (SOPs) that adhere to industry regulations and ensure operational excellence. The ideal candidate will possess a keen eye for detail and a strong understanding of technical writing principles.

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.

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).

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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 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.

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.

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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 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.

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