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Anthropic

Research Manager, Biological Safety

Anthropic · San Francisco, CA

Posted 14 days ago

or apply directly on Anthropic's site. We never take the application ourselves.

Is this posting real?

This role has been open
14 days
Anthropic's roles stay open a median of 40 days
Reposted
No
Salary listed
No
0% of Anthropic's roles list one
Ghost-job risk at Anthropic
high
276 stale, 19 reposted of 603 open
Hiring momentum
795 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-09-17

Measured from postings appearing on and disappearing from Anthropic's own greenhouse board since 2026-08-03. Full hiring picture for Anthropic.

About this role

The Research Manager for Biological Safety at Anthropic will lead a team focused on developing evaluations, datasets, and classifiers to ensure AI models handle biological knowledge safely. This role involves managing and growing the team, setting technical direction, overseeing classifier training, and collaborating with various stakeholders to integrate biological safety into the model development lifecycle. The manager will also engage in external communications and track developments in biology and machine learning relevant to the team's work.

Our read on this posting3.2out of 5
benefits
3/5
freshness
4/5
career value
4/5
role clarity
5/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Anthropic as an employer.

What you need

  • Experience managing a technical team, including hiring, coaching, and performance management
  • A record of setting technical direction for a team and making prioritization calls under uncertainty
  • Proficiency in Python, with a background in scientific programming and data analysis
  • A solid grasp of ML fundamentals, sufficient to critically review evaluation design and classifier development
  • Knowledge of modern biology across both measurement and engineering: high-throughput assays and functional characterization, as well as gene synthesis, genome editing, strain construction, and protein engineering
  • Experience designing quantitative experiments or evaluations and drawing defensible conclusions from noisy results

Nice to have

  • 3+ years of people management experience, ideally leading research scientists, research engineers, or ML engineers
  • Experience building a team or function from a small headcount, including defining scope, hiring the first few people, and establishing how the team works
  • At least 8 years of hands-on experience in life sciences, with deep expertise in areas such as molecular biology, drug discovery, or computational biology
  • Experience working with large language models, including prompting, fine-tuning, or evaluation
  • Experience training or deploying classifiers or other ML systems in production, and comfort reasoning about precision and recall for rare, high-consequence categories where the base rate is very low

What you get

  • Competitive compensation
  • Optional equity donation matching
  • Generous vacation and parental leave
  • Flexible working hours
  • Lovely office space for collaboration

Worth weighing

  • No specific mention of remote work flexibility beyond 25% in-office requirement
  • The role requires comfort with ambiguity and shifting priorities, which may indicate a fast-paced or changing environment
  • No details on team size or structure, which could impact management dynamics

Summarised from Anthropic's posting. Read the full original.

Listed by Anthropic on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.

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