Product Intern, AI Science Factory

Your Impact at Lila We are looking for a product intern to join the AI Science Factory (AISF) product group. AISF is Lila's platform for autonomous scientific experimentation — integrating laboratory automation, AI-driven workflows, and data infrastructure across life sciences, physical sciences, and materials programs. In this role you will work directly with product, software, and science teams to build the analytical foundations, operational frameworks, and strategic materials that underpin how the platform scales and delivers value. This is a high-leverage position for someone who wants to operate at the intersection of product strategy, laboratory operations, and data systems in a fast-moving, technically ambitious environment. What You'll Be Building Product strategy and roadmap support. Contribute to capability roadmap development for the AISF platform, including workflow prioritization analysis, instrumentation gap assessments, and mapping of automation requirements across target therapeutic and materials programs. Capability and instrument databases. Maintain and extend Notion databases that connect capabilities, instruments, and opportunities to ongoing work — ensuring that the people executing on programs have current, structured information at hand. Operational dashboards and data integrations. Work with the software product management team to integrate with Lila's laboratory automation software (LAS) platform, pulling information on instrument states, data production rates, and experimental throughput, and building automated dashboarding tools that surface operational visibility across the organization. Benchmarking and landscape research. Conduct research on laboratory automation, AI-driven experimentation platforms, and adjacent technologies to inform AISF capability expansion and competitive positioning. Strategic and partnership-facing materials. Develop workflow diagrams, capability matrices, and deliverables that articulate AISF technical capabilities, integration readiness, and value to both internal stakeholders and external partners. What You’ll Need to Succeed Currently pursuing or recently completed a graduate degree (MBA, MS, or PhD) or undergraduate degree (junior/senior) in engineering, science, business, or a related field. Strong analytical skills and comfort working with data — you can build a model, structure a database, or pull apart a dataset without hand-holding. Proficiency in at least one of: Python, SQL, or a comparable data analysis tool. Ability to synthesize information from multiple sources and teams into clear, structured outputs — written documents, diagrams, frameworks. Self-directed work style; you can take a loosely defined problem, figure out what needs to be true, and drive toward a deliverable. Fluency with AI and LLM tools as everyday working instruments — both for researching and exploring problem spaces (e.g., literature synthesis, landscape analysis, data interpretation) and for rapidly prototyping solutions through AI-assisted coding. Effective communication across technical and non-technical audiences. Bonus Points For Familiarity with laboratory automation, scientific instrumentation, or experimental workflows. Experience with product management tools and methods — roadmapping, prioritization frameworks, stakeholder communication. Working knowledge of Notion, including database design and relational structures. Exposure to dashboarding or data visualization tools (e.g., Streamlit, Retool, Tableau, or custom solutions). Background in life sciences, materials science, or chemistry — enough to navigate technical conversations without requiring constant translation. Comfort working in a fast-paced, ambiguous environment where scope and priorities shift. About Lila Lila Sciences is the world’s first scientific superintelligence platform and autonomous lab for life, chemistry, and materials science.  We are pioneering a new age of boundless discover ... (truncated, view full listing at source)