Applied AI Engineer, Life Sciences (Beneficial Deployments)

About Anthropic

Anthropics 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 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 focusing on raising the floor for those who need it most.

About the Role:

Were looking for an Applied AI Engineer to join our Beneficial Deployments team focused on maximizing the impact of Claude in the life sciences. Our goal is ambitious: accelerate scientific progress from R&D through translation by an order of magnitude. That means making Claude the go-to tool for the life sciences ecosystem from early discovery in academia to paradigm shifting biotech to reimaging pharma pipelines and building the technical infrastructure to back that up.

Youll work directly with flagship research partners like Howard Hughes Medical Institute and The Allen Institute embedded in their scientific workflows. This isnt consulting from the outside youll be building alongside their engineers prototyping agents that fit into real research pipelines and developing the ecosystem-level tooling (MCP servers benchmarks reusable agent skills) that extends Claudes usefulness across the broader life sciences community. This role will be part of the founding Beneficial Deployments applied AI team focused on bringing more of life sciences closer to the frontier and be responsible for building with our partners.

Responsibilities:

• Work as a deep technical partner to flagship life sciences research institutions understanding their scientific workflows end to end then advising on where AI can meaningfully accelerate discovery. This means conversations with both PIs and engineering teams and the ability to hold your own in both.

• Build hands-on with partner engineering teams. Pair program prototype contribute code.

• Help a research team go from we think Claude could help with our analysis pipeline to a production system thats actually integrated into how they do science.

• Develop the ecosystem infrastructure that makes Claude useful across life sciences broadly MCP servers connecting Claude to domain-specific data sources (genomics platforms literature databases experimental repositories) instruments benchmarks grounded in real scientific tasks and reusable agent skills that other institutions can adopt without starting from scratch.

• Help design and evaluate agentic scientific workflows the kind of systems where Claude isnt just answering questions but actively contributing to experimental design analysis and interpretation.

• Identify whats actually hard about deploying AI in life sciences the heterogeneous data the need for auditability the gap between a promising prototype and something a researcher will trust and feed those findings back to product engineering and research to make the platform better.

• Create technical content and documentation that lets life sciences partners self-serve. If you build something that works at for one partner we want it to work for institutes and scientists around the world without requiring the same level of hand-holding.

You Might Be a Good Fit If You Have:

• 4 years as a Software Engineer Forward Deployed Engineer or technical founder with production experience shipping systems that real users depend on.

• Deep experience building LLM-powered applications: prompting context engineering agent architectures evaluation frameworks deployment at scale. Youve debugged evals at 2am and you know what it takes to get from works in the notebook to works in production.

• Meaningful exposure to life sciences biomedical research or scientific computing. Enough to understand why a researcher might be skeptical of an AI system what it means for a workflow to be scientifically rigorous and where automation genuinely helps vs. where it introduces risk. Bonus if youve worked in genomics neuroscience or drug discovery.

• The ability to work across the scientific stack read a methods paper critically think through evaluation design for domain-specific tasks and reason about the difference between this is technically impressive and this actually advances the science.

• Builder credibility that earns trust with research engineers and scientists. Youve shipped products and can speak from experience not slides.

• A scrappy founder mentality comfortable wearing multiple hats building from scratch and driving clarity in ambiguous situations. You care about getting the science right not just the code.

Logistics

Education requirements: We require at least a Bachelors 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 arent 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 youre interested in this work. We think AI systems like the ones were 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 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 youre ever unsure about a communication dont click any linksvisit for confirmed position openings.

How were 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. Were 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 aboutour policyfor using AI in our application process