Anthropic

4 weeks ago

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

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Lead and grow a team of Applied AI Engineers focused on life sciences deployments of Claude for Life Sciences. Own the technical outcomes for strategic pharma/biotech customers, review prototypes and integrations, build deterministic scientific infrastructure, and drive responsible deployment with safety teams across field deployments and product feedback loops.

Location: San Francisco, New York

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Manager level

Key Responsibilities

•Build and lead the team: hire, coach, and develop a team of Applied AI Engineers dedicated to strategic life sciences partners, setting a high technical bar and helping each engineer grow.
•Own technical success with partners: be accountable for the technical outcomes of our strategic pharma and biotech deployments, from first scoping conversation through production.
•Stay hands-on: review and contribute to prototypes, MCP integrations, agentic workflows, and Claude Code for Bio solutions; help the team get unblocked on the hardest technical problems.
•Build agent-ready scientific infrastructure: guide the team in creating the deterministic tools, connectors/harnesses, and evaluations that make messy biological data and workflows reliably accessible to Claude — in partnership with scientists and research institutions.
•Translate the field into the roadmap: partner cross-functionally to turn what you learn from deployments into improvements in Anthropic's life sciences products and models.

Pay and Benefits

Salary: USD 320,000 - 405,000 annually

Equity and Bonus:Equity

Perks:Paid LeaveParental LeaveFlexible HoursEquity

Key Requirements

•Must have led or technically mentored software/ML engineers in a customer-facing or forward-deployed setting.
•Strong background in pharma/biotech, computational biology, bioinformatics, or clinical/regulatory affairs.
•Hands-on engineering background with production code experience, not just management.
•Experience delivering technical work directly with external customers or partners and ability to communicate with technical and executive audiences.
•Experience building on top of large language models or agents and deploying AI in regulated contexts.

Experience:Life sciencesBiotechPharma

Education:Bachelor's

Skills:LeadershipMentoringCommunicationCollaborationProblem-solving

Languages:English

Tech Stack:ClaudeLLMsAPIsProduction codePythonMCPData infrastructure

Eligibility

Work Authorization:Sponsorship available.

Company Brief

Anthropic

Develops large-scale AI systems and safety research to create reliable, steerable, and interpretable AI assistants and models for commercial and research applications.

Industry: AI & Machine Learning

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series C

Headquarters: San Francisco, United States

Founded: 2021

Website LinkedIn

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Anthropic

4 weeks ago

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

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Location: San Francisco, New York

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Manager level

Key Responsibilities

•Build and lead the team: hire, coach, and develop a team of Applied AI Engineers dedicated to strategic life sciences partners, setting a high technical bar and helping each engineer grow.
•Own technical success with partners: be accountable for the technical outcomes of our strategic pharma and biotech deployments, from first scoping conversation through production.
•Stay hands-on: review and contribute to prototypes, MCP integrations, agentic workflows, and Claude Code for Bio solutions; help the team get unblocked on the hardest technical problems.
•Build agent-ready scientific infrastructure: guide the team in creating the deterministic tools, connectors/harnesses, and evaluations that make messy biological data and workflows reliably accessible to Claude — in partnership with scientists and research institutions.
•Translate the field into the roadmap: partner cross-functionally to turn what you learn from deployments into improvements in Anthropic's life sciences products and models.

Pay and Benefits

Salary: USD 320,000 - 405,000 annually

Equity and Bonus:Equity

Perks:Paid LeaveParental LeaveFlexible HoursEquity

Key Requirements

•Must have led or technically mentored software/ML engineers in a customer-facing or forward-deployed setting.
•Strong background in pharma/biotech, computational biology, bioinformatics, or clinical/regulatory affairs.
•Hands-on engineering background with production code experience, not just management.
•Experience delivering technical work directly with external customers or partners and ability to communicate with technical and executive audiences.
•Experience building on top of large language models or agents and deploying AI in regulated contexts.

Experience:Life sciencesBiotechPharma

Education:Bachelor's

Skills:LeadershipMentoringCommunicationCollaborationProblem-solving

Languages:English

Tech Stack:ClaudeLLMsAPIsProduction codePythonMCPData infrastructure

Eligibility

Work Authorization:Sponsorship available.

Company Brief

Anthropic

Develops large-scale AI systems and safety research to create reliable, steerable, and interpretable AI assistants and models for commercial and research applications.

Industry: AI & Machine Learning

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series C

Headquarters: San Francisco, United States

Founded: 2021

Website LinkedIn