Applied AI Engineer, Beneficial Deployments (Life Sciences)

<div class=&quot;content-intro&quot;><h2><strong>About Anthropic</strong></h2> <p>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.</p></div><h2><strong>About Anthropic</strong></h2> <p>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.</p> <p><strong>About Beneficial Deployments</strong><br>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.</p> <p><strong>About the Role</strong><br>We re 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&amp;D through translation. That means making Claude the go-to tool for the life sciences ecosystem from early discovery in academia to paradigm shifting biotech to reimagining pharma pipelines&nbsp; - and building the technical infrastructure to back that up.</p> <p>You ll work directly with flagship research partners like The Howard Hughes Medical Institute (HHMI) and The Allen Institute, embedded in their scientific workflows. This isn t consulting from the outside - you ll 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 Claude s usefulness across the broader life sciences community. This role will be part of the founding Beneficial Deployments Applied AI team focused on bringing life sciences closer to the frontier.</p> <p><strong>Responsibilities</strong></p> <ul> <li>Partner deeply with flagship life sciences research institutions - understand their scientific workflows end-to-end, build hands-on with their engineering teams, and help take projects from early exploration to production systems integrated into how they do science day-to-day.</li> <li>Develop reusable ecosystem infrastructure, like MCP servers for domain-specific data sources (genomics platforms, literature databases, experimental repositories), instruments, scientifically-grounded benchmarks, and agent skills that other institutions can adopt without starting from scratch.</li> <li>Identify what s actually hard about deploying AI in life sciences (heterogeneous data, auditability requirements, the prototype-to-trust gap) and feed those findings back to product, engineering, and research.</li> <li>Create technical content and documentation that lets partners self-serve, so what works for one institution can scale globally without the same level of hand-holding.</li> </ul> <p><strong>You Might Be a Good Fit If You Have:</strong></p> <ul> <li>Deep research experience in life sciences, biomedical research, or scientific computing. Bonus if you ve studied genomics, neuroscience, or drug discovery specifically and are comfortable getting deeply technical with academics.</li> <li>Experience building LLM-powered tools or applications: prompting, context engineering, agent architectures, evaluation frameworks.</li> <li>Builder credibility from shipping production code as a software engineer, forward-deployed engineer, or technical founder.</li> <li>A scrappy mentality–comfortable wearing multiple hats, building from scratch, driving clarity in ambiguous situations, and doing whatever it takes to further the mission.</li> </ul><div class=&quot;content-pay-transparency&quot;><div class=&quot;pay-input&quot;><div class=&quot;description&quot;><p>The annual compensation range for this role is listed below.&nbsp;</p> <p>For sales roles, the range provided is the role’s On Target Earnings (&quot;OTE&quot;) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.</p></div><div class=&quot;title&quot;>Annual Salary:</div><div class=&quot;pay-range&quot;><span>£225,000</span><span class=&quot;divider&quot;>&mdash;</span><span>£255,000 GBP</span></div></div></div><div class=&quot;content-conclusion&quot;><h2><strong>Logistics</strong></h2> <p><strong>Minimum education: </strong>Bachelor’s degree or an equivalent combination of education, training, and/or experience</p> <p><strong>Required field of study:&nbsp;</strong>A field relevant to the role as demonstrated through coursework, training, or professional experience</p> <p><strong>Minimum years of experience: </strong>Years of experience required will correlate with the internal job level requirements for the position</p> <p><strong>Location-based hybrid policy:</strong> 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.</p> <p><strong data-stringify-type=&quot;bold&quot;>Visa sponsorship:</strong>&nbsp;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.</p> […]