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Manager, Applied AI Engineering, Life Sciences (Beneficial Deployments)

San Francisco, CA | New York City, NY

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 Anthropic:

Anthropic's mission is the responsible development and maintenance of advanced AI for the long-term benefit of humanity. Anthropic occupies a peculiar position in the AI landscape: a safety-focused lab at the frontier of AI capabilities. We believe that the highest-impact AI research will be big science. At Anthropic, we collaborate 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.

About the Team:

The Applied AI organization sits at the intersection of Anthropic's frontier research and the real-world customers and partners who deploy Claude. Within Applied AI, the Life Sciences vertical — part of our Beneficial Deployments mission — ensures AI reaches and benefits the communities that need it most. We partner with leading research institutions, foundations, and mission-driven organizations to deploy Claude across drug discovery, genomics, clinical research, and translational science. Our goal is ambitious: accelerate scientific progress from R&D through translation by an order of magnitude.

Today the team works directly with flagship partners like Howard Hughes Medical Institute and The Allen Institute, embedded in their scientific workflows — building agents that fit into real research pipelines, developing ecosystem-level tooling (MCP servers, benchmarks, reusable agent skills), and extending Claude's usefulness across the broader life sciences community.

About the Role:

As the Manager of Applied AI Engineering, Life Sciences, you will lead and grow a team of Applied AI Engineers focused on maximizing Claude's impact in the life sciences. 

You'll be responsible for establishing processes and best practices for the team's engagements with research institutions and life sciences organizations, helping each team member achieve success, high productivity, and career growth, and representing Anthropic as a technical leader on some of its most important scientific partnerships.

You'll leverage your technical depth in both AI/ML and life sciences, combined with your leadership experience, to drive the strategy for how Claude transforms scientific workflows — from hypothesis generation and literature synthesis through experimental design, data analysis, and regulatory submission. In collaboration with the Sales, Product, Engineering, and Research teams, you'll help mission-driven organizations incorporate leading-edge AI into their scientific processes while maintaining our best-in-class safety standards.

This is a founding leadership role: you'll shape the team's culture, define its operating model, and establish its reputation as a trusted partner in the scientific community.

Responsibilities:

  • Manage and mentor a team of Applied AI Engineers focused on life sciences, providing both technical guidance and career development

  • Set goals and reviews for your team, promoting growth, scientific rigor, and high-quality output

  • Serve as a deep technical partner to flagship life sciences research institutions — understanding their scientific workflows end to end and advising on where AI can meaningfully accelerate discovery

  • Drive the team's engagement strategy with partners like HHMI, Allen Institute, and other research organizations, ensuring high-impact, embedded collaboration

  • Build and prototype AI agents and tools that fit into real scientific research pipelines, including MCP servers, benchmarks, and reusable agent skills

  • Partner closely with Beneficial Deployments leadership to define the life sciences roadmap and co-build strategies that extend Claude's reach in drug discovery, genomics, clinical research, and translational science

  • Drive collaboration across cross-functional teams — Product, Engineering, Research, and Safety — to influence and unify stakeholders at all levels of the organization

  • Develop scalable engagement frameworks and reusable technical assets that can be adapted across different life sciences domains and partner contexts

  • Travel occasionally to partner institutions for workshops, technical deep-dives, and relationship building

  • Establish a shared vision for creating AI solutions that are beneficial, safe, and scientifically rigorous

  • Lead the vision, strategy, and execution of innovative solutions that leverage our latest models' capabilities for scientific applications

  • Contribute to thought leadership through publications, conference presentations, and community engagement in the life sciences AI space

You May Be a Good Fit If You Have:

  • 7+ years of experience engineering solutions in the life sciences or pharmaceutical industry within computational biology, biological data science, or similar engineering applications in life sciences

  • 3+ years of engineering management experience, preferably leading teams that serve research-oriented customers

  • Deep domain expertise in one or more areas of the life sciences: drug discovery, genomics, computational biology, clinical research, translational science, or scientific data infrastructure

  • Experience working with research institutions, academic partners, nonprofits, or mission-driven organizations — understanding their unique workflows, constraints, and decision-making processes

  • Strong programming skills with proficiency in Python and experience building production AI/ML applications

  • An organizational mindset and enjoy building foundational teams in a relatively unstructured environment

  • Excellent communication, collaboration, and coaching abilities — able to translate between scientific and engineering contexts

  • Comfort dealing with highly uncertain, ambiguous, and fast-moving environments

  • Strong executive presence and ability to foster deep relationships with scientific leaders and research teams

  • At least a high-level familiarity with the architecture and operation of large language models and/or ML in general

  • A passion for making powerful technology safe and societally beneficial

  • Think creatively about the risks and benefits of AI in scientific research, and think beyond past checklists and playbooks

  • Stay up-to-date and informed by taking an active interest in emerging AI research, life sciences breakthroughs, and industry trends

Strong Candidates May Also Have:

  • PhD or advanced degree in a life sciences field (biology, biochemistry, computational biology, bioinformatics, or related)

  • Experience with AI-powered drug discovery, protein structure prediction, or genomic analysis platforms

  • Track record of building and scaling technical teams through rapid growth in a startup or high-growth environment

  • Experience with regulatory considerations in life sciences (FDA submissions, clinical trial data, GxP compliance)

  • Previous experience building developer tooling, SDKs, or platform capabilities for scientific communities

  • Established relationships and reputation within the life sciences research community

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:

$320,000 - $405,000 USD

Logistics

Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.

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.

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

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