Technical Program Manager, Life Sciences Research (Genetic Medicine)

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Thousands of rare genetic diseases have a known cause but no approved treatment. Advances in gene editing and oligonucleotide medicines have made it possible to design therapies for very small populations, sometimes for a single patient, but developing them remains slow and costly. Anthropic’s Life Sciences team is exploring how frontier AI, combined with deep drug development expertise and strong external partnerships, can help change that. 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. Much of this work remains in early stages, so this is a foundational role on a small team. You’ll help define how the team operates, build the plans and processes that allow it to grow, and work with our researchers and engineers to find where Claude can be most useful. If you’ve run complex programs in drug development or clinical research and want to help advance treatments for rare disease, we’d love to hear from you. 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 The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $290,000 — $365,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.