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Applied AI Engineer, Life Sciences (Beneficial Deployments) jobs in United States
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Anthropic · 10 hours ago

Applied AI Engineer, Life Sciences (Beneficial Deployments)

Anthropic is a public benefit corporation focused on creating reliable and beneficial AI systems. They are seeking an Applied AI Engineer to join their Beneficial Deployments team, aimed at maximizing the impact of AI in life sciences by partnering with research institutions to integrate AI into scientific workflows.
Artificial Intelligence (AI)Foundational AIGenerative AIInformation TechnologyMachine Learning
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H1B Sponsorednote

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 that's 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 isn't just answering questions but actively contributing to experimental design, analysis, and interpretation
Identify what's 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

Qualification

LLM-powered applicationsLife sciences experienceSoftware engineeringScientific computingAgent architecturesScrappy founder mentalityCommunication skills

Required

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. You've 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 you've 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. You've 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
We require at least a Bachelor's degree in a related field or equivalent experience

Benefits

Competitive compensation and benefits
Optional equity donation matching
Generous vacation and parental leave
Flexible working hours
A lovely office space in which to collaborate with colleagues

Company

Anthropic

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Anthropic is an AI research company that focuses on the safety and alignment of AI systems with human values.

H1B Sponsorship

Anthropic has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (105)
2024 (13)
2023 (3)
2022 (4)
2021 (1)

Funding

Current Stage
Late Stage
Total Funding
$33.74B
Key Investors
Fidelity,ICONIQ Capital,Lightspeed Venture PartnersLightspeed Venture PartnersGoogle
2025-09-02Series F· $13B
2025-05-16Debt Financing· $2.5B
2025-03-03Series E· $3.5B

Leadership Team

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Dario Amodei
Co-Founder and CEO
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Daniela Amodei
President and co-founder
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Company data provided by crunchbase