Technical Program Manager, Life Sciences Research (Genetic Medicine)

About the role

Anthropic's Life Sciences team is exploring how frontier AI, combined with deep drug development expertise and strong external partnerships, can help advance individualized genetic medicines. We're hiring a Technical Program Manager to bring structure and momentum to this work.

You'll coordinate across programs that support the development of individualized genetic medicines, advance research into new therapeutic approaches, and help patient organizations, non-profits, and researchers use Claude in their own rare disease work. You'll partner closely with scientists, engineers, clinicians, and external collaborators to keep complex efforts moving toward shared milestones.

Key responsibilities

• Build and own an integrated program plan, including milestones, dependencies, risks, budgets, and key decisions
• Coordinate with clinical, manufacturing, and research partners on programs that span preclinical development, manufacturing, regulatory review, and clinical care
• Run the operating cadence with external partners, tracking progress and raising risks early
• Work with Legal, Finance, and Partnerships to turn agreements into clear operating plans and track commitments
• Coordinate research across internal scientists, academic collaborators, companies, and contract research organizations, helping to scope projects, sequence work, and support timely decisions
• Help ensure that data is shared responsibly and in a usable form, with appropriate consent, privacy protections, and data-sharing agreements in place
• Lead programs that support non-profits, patient organizations, and academic and independent researchers, from onboarding through ongoing support and feedback
• Help connect genetic diagnosis efforts with therapeutic research and development
• Share insights from partners and programs with Anthropic's research and product teams to help improve Claude for scientific and medical research
• Write clear status updates, risk assessments, and decision memos, and build processes that scale with the team

Minimum qualifications

• Experience as a technical program manager or program lead on complex drug development, clinical research, or translational science programs involving multiple external organizations, such as manufacturers, contract research organizations, or clinical sites
• Working knowledge of how a therapy moves from preclinical development into the clinic, including manufacturing, regulatory filings, and clinical operations, and how a delay in one stage affects the others
• Scientific fluency in molecular biology or genetics, sufficient to follow experimental plans, review data with scientists, and understand tradeoffs
• Strong program management skills, including project planning, milestones, risk registers, budget tracking, and dependency management across many concurrent workstreams
• A track record of driving work to completion across organizations without formal authority
• Clear written and verbal communication, including the ability to make complex scientific and operational issues easy to understand and act on
• Comfort working with ambiguity and building process where none exists
• Excitement about Anthropic's mission to build safe and beneficial AI

Preferred qualifications

• An advanced degree in a life science, engineering, or related field
• Experience with gene therapy, gene editing, or oligonucleotide programs, especially individualized (N-of-1) or ultra-rare disease programs
• Clinical operations experience, such as multi-site trials, master protocols, IRB submissions, or site activation
• Experience managing sponsored research agreements, grants, or philanthropic funding with academic institutions
• Experience working with patient advocacy groups, rare disease foundations, or other non-profits
• Familiarity with clinical genomics and genetic diagnosis
• Experience with patient data governance, including consent, HIPAA, and data-sharing agreements
• Experience in a role that bridges software or AI and the life sciences
• Experience as an early hire on a new team, helping define how it operates
• Hands-on experience using LLM tools like Claude in your day-to-day work