Program Manager, AI for Science
London, UKFull-TimeManagerAI / Data Science
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
- We're looking for a Program Manager to grow our AI for Science Program. You'll build and manage partnerships with individual labs from around the world. This program is the primary way that Anthropic’s life sciences efforts works with individual labs that have new and innovative ideas for how Claude can contribute to a growing set of scientific domains.
- This is a foundational role where you'll shape our strategy for deploying Claude for Life Sciences across domains of research including the biomedical sciences, chemistry, and materials science. You'll work with incredibly interdisciplinary partners from academia as well as early stage companies. Your goal will be to develop relationships and goal directed partnerships that demonstrate or expand the capabilities of Claude in the sciences. You will focus both on individual projects but also building communities of practice that bring together scientists with similar interests or objectives. The right person will combine deep relationships in sciences with an entrepreneurial and experimental drive to build something new at the frontier of AI.
About Beneficial Deployments
- Beneficial Deployments ensures AI reaches and benefits the communities that need it most. We partner with nonprofits, foundations, and mission-driven organizations to deploy Claude in education, global health, economic mobility, and life sciences. We prioritize opportunities to make AI more accessible and raise the floor of what is possible in a given domain while also partnering with leaders to help expand the use of AI to new tasks that raise the ceiling of what is possible.
Responsibilities
- Own and execute Anthropic's AI for Science API credit strategy, managing partnerships with academic labs, small start-ups, and potentially foundations
- Identify, evaluate, and onboard new partners via our API credit application calls as well as targeted relationship building
- Serve as the primary relationship owner for AI for Science, coordinating with Anthropic’s Applied AI, product, and GTM teams to deliver impact
- Compile regular reports and learnings from the AI for Science ecosystem to help inform research and GTM priorities
- Manage timelines, resource requirements, and regular reporting associated with the AI for Science program
- Work closely with partners to understand their technical and operational needs and translate them into deployment plans
- Comfort with early technical prototyping and testing to help learn alongside and unblock partners
- Set a research agenda for understanding AI's impact on individual labs across domains
- Identify opportunities to create public goods -- open-source tools, datasets, and research -- that benefit the broader ecosystem
- Represent Anthropic at global scientific convenings and conferences
- Help shape team processes and culture as we scale our Life Science work
- Own and execute Anthropic's AI for Science API credit strategy, managing partnerships with academic labs, small start-ups, and potentially foundations
- Identify, evaluate, and onboard new partners via our API credit application calls as well as targeted relationship building
- Serve as the primary relationship owner for AI for Science, coordinating with Anthropic’s Applied AI, product, and GTM teams to deliver impact
- Compile regular reports and learnings from the AI for Science ecosystem to help inform research and GTM priorities
- Manage timelines, resource requirements, and regular reporting associated with the AI for Science program
- Work closely with partners to understand their technical and operational needs and translate them into deployment plans
- Comfort with early technical prototyping and testing to help learn alongside and unblock partners
- Set a research agenda for understanding AI's impact on individual labs across domains
- Identify opportunities to create public goods -- open-source tools, datasets, and research -- that benefit the broader ecosystem
- Represent Anthropic at global scientific convenings and conferences
- Help shape team processes and culture as we scale our Life Science work
You Might Be a Good Fit If You Have
- 7+ years of experience in life sciences research with ample exposure to the intersection of new technologies as a catalyst for accelerating progress
- 3+ years of experience managing external partnerships, grantmaking, or multi-stakeholder initiatives
- Deep relationships and credibility in the life sciences domains: you are familiar with the key players at major universities, research institutes, and tools companies
- Technical fluency to engage credibly on AI concepts, understand LLM capabilities and limitations, and partner effectively with technical teams
- Analytical mindset with experience using data to inform strategy and measure impact
- Experience building communities of practice in which scientists from multiple domains converge on shared exploration and use of new technologies
- An entrepreneurial mindset: you've built programs or organizations from scratch, likely at startups or in founding roles
- A genuine drive to maximize impact for underserved communities
- High agency and comfort with ambiguity; you thrive when you're building the plane while flying it
- Strong prioritization skills and the ability to manage a high volume of partnerships and opportunities
- Willingness to travel for occasional partner visits and conferences
- 7+ years of experience in life sciences research with ample exposure to the intersection of new technologies as a catalyst for accelerating progress
- 3+ years of experience managing external partnerships, grantmaking, or multi-stakeholder initiatives
- Deep relationships and credibility in the life sciences domains: you are familiar with the key players at major universities, research institutes, and tools companies
- Technical fluency to engage credibly on AI concepts, understand LLM capabilities and limitations, and partner effectively with technical teams
- Analytical mindset with experience using data to inform strategy and measure impact
- Experience building communities of practice in which scientists from multiple domains converge on shared exploration and use of new technologies
- An entrepreneurial mindset: you've built programs or organizations from scratch, likely at startups or in founding roles
- A genuine drive to maximize impact for underserved communities
- High agency and comfort with ambiguity; you thrive when you're building the plane while flying it
- Strong prioritization skills and the ability to manage a high volume of partnerships and opportunities
- Willingness to travel for occasional partner visits and conferences
Strong Candidates May Also Have
- Experience working with philanthropic foundations on science funding
- Background at biotech companies, academic research institutions, funding, and roles at the intersection of scientific research and technology product
- Background in wet lab research with an ability and aptitude for scientific communications
- Experience working with philanthropic foundations on science funding
- Background at biotech companies, academic research institutions, funding, and roles at the intersection of scientific research and technology product
- Background in wet lab research with an ability and aptitude for scientific communications
- 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.
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.
