Vice President, Engineering

About Formation Bio Formation Bio is a tech and AI driven pharma company differentiated by radically more efficient drug development. Advancements in AI and drug discovery are creating more candidate drugs than the industry can progress because of the high cost and time of clinical trials. Recognizing that this development bottleneck may ultimately limit the number of new medicines that can reach patients, Formation Bio, founded in 2016 as TrialSpark Inc., has built technology platforms, processes, and capabilities to accelerate all aspects of drug development and clinical trials. Formation Bio partners, acquires, or in-licenses drugs from pharma companies, research organizations, and biotechs to develop programs past clinical proof of concept and beyond, ultimately helping to bring new medicines to patients. The company is backed by investors across pharma and tech, including a16z, Sequoia, Sanofi, Thrive Capital, John Doerr, Spark Capital, SV Angel Growth, and others. You can read more at the following links: Our Vision for AI in Pharma Our Current Drug Portfolio Our Technology & Platform At Formation Bio, our values are the driving force behind our mission to revolutionize the pharma industry. Every team and individual at the company shares these same values, and every team and individual plays a key part in our mission to bring new treatments to patients faster and more efficiently. About the Position We're looking for a Vice President of Engineering to lead and grow the team that builds the AI-native software platform behind our drug development engine. Reporting to the CTO, you'll partner closely with leaders across Clinical, R&D, BD, and Data Science to translate hard biological and operational problems into computational leverage. This is a builder's seat. We're past the era where AI is something you bolt on to engineering — we're actively rethinking how teams are shaped, how work flows, and how engineers spend their time when agents handle a meaningful share of the build. We want a leader who is excited to do that rethinking with us, not someone looking for the next predictable VP step. Responsibilities Set the technical vision for an engineering organization that prioritizes high-leverage computational capability over feature factories. Design and evolve how the team uses agents, MCP-based tool orchestration, and LLM-integrated systems — not just for developer productivity, but as a fundamental shift in how engineering work gets done. Partner with the CTO, Data Science, and the broader leadership team to translate clinical and BD bottlenecks into engineering bets that move asset value. Ship LLM-integrated features and autonomous agents into production in support of R&D, clinical operations, and trial execution. Build platforms for ingesting and operationalizing complex external, clinical, and biological datasets — the foundation our Data Science partners rely on. Embed engineers inside Business Development, Clinical, and R&D so technology partners with the science from the start. Own GxP-validated clinical environments and automated security and compliance — making rigor a property of the platform rather than a checkpoint. Hire, mentor, and shape an engineering organization of 15+ with high talent density, refactoring team structure as the work itself evolves. What You Bring An AI-native point of view. You have hands-on experience shipping LLM- or agent-powered systems that own meaningful workflows in production, and you have a clear perspective on how AI is reshaping the role of the engineer and the shape of engineering teams over the next few years. Deep biotech or pharma context. Ideally you've led engineering inside an in-house drug development organization and understand the rhythm of the drug-development lifecycle — clinical trials, GxP environments (GCP, GLP, GMP), and the kinds of decisions a sponsor makes about its own assets. Adjacent experience (CRO, EDC, diagnostics, devices) is welcome if you can articul