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Life Sciences Counsel

Job in New York, New York County, New York, 10261, USA
Listing for: Anthropic
Full Time position
Listed on 2026-09-12
Job specializations:
  • IT/Tech
    Information Security & Data Protection, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 335000 - 385000 USD Yearly USD 335000.00 385000.00 YEAR
Job Description & How to Apply Below

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 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

The Role

AI has the power to dramatically accelerate the pace of scientific discovery and the development of healthcare interventions. We're hiring Anthropic’s first dedicated Life Sciences Counsel to work side-by-side with our researchers as they work to advance biomedical progress. You’ll serve as their trusted counsel on a wide range of efforts - from fast paced life sciences transactions with top research organizations to navigating the complexities of operating at frontier pace in a regulated ecosystem.

This role carries unusual scope for a single lawyer: you will be the embedded legal partner to the team, while collaborating deeply across the broader legal department to pull in the wide range of subject matter expertise this strategic initiative will require for success.

Key Responsibilities
  • Serve as a key strategic advisor to our life science research teams on complex research, development, and commercial matters globally
  • Drive high deal volume with life science and biopharma counter parties across a range of sophisticated agreement types
  • Identify, analyze, and proactively manage life science regulatory risks in close coordination with the broader Legal department
  • Design and implement scalable guidance and processes to support our fast-growing life science efforts
  • Anticipate emerging legal developments affecting AI technologies in the life science and biopharma space and provide strategic guidance to leadership
Minimum Qualifications
  • JD and active membership in at least one U.S. state bar (California or New York preferred)
  • Real fluency in how the life sciences industry works: how drugs get developed, how research organizations are structured, what pharmaceutical and biotech counter parties care about, and why
  • Working knowledge of the regulatory environment life sciences tools may be deployed in — GxP, clinical and health data regulations, human-subjects research, FDA processes
  • Deep experience with negotiating and drafting complex IP allocation issues in multi-party research arrangements, including ownership of inventions and improvements
  • Excellent communication skills, with the ability to translate legal risk into practical guidance for scientists, researchers, and business partners
  • Experience scoping and managing outside counsel across specialties (FDA/regulatory, IP, privacy, export control) for both substantive depth and cost efficiency
  • Exceptionally collaborative disposition - with the ability to find creative solutions that account for multiple priorities at once
  • A low-ego, high-empathy orientation and a  doer  attitude — willing to roll up your sleeves and pitch in where needed
  • Intense curiosity about AI and science, and a commitment to responsible AI development
Preferred Qualifications
  • 10+ years of relevant legal experience, including substantial experience in life sciences transactional work — contract research, strategic collaborations, and licensing and commercialization deals — with the ability to operate independently and hit the ground running
  • Experience with AI/ML companies or products deployed into regulated…
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