# Research Manager, Biological Safety

**Company:** [Anthropic](https://hotfix.jobs/companies/anthropic)
**Location:** San Francisco, CA
**Role:** Engineering Management
**Salary:** $405k – $485k/yr
**Experience:** 8+ years
**Skills:** Python, Scientific Programming, Data Analysis, Machine Learning, Biological Safety, Molecular Biology, Computational Biology, Drug Discovery, Gene Synthesis, Genome Editing, Protein Engineering, LLMs, Classifier Training, Red Teaming, Biosecurity
**Posted:** 2026-09-02

> Leads a research engineering team developing biological safety evaluations, datasets, and classifiers for frontier AI models. The role combines technical direction and people management with deep life-sciences, machine-learning, experimentation, and biosecurity expertise.

## Job Description

## Responsibilities
- Manage, coach, and grow research scientists and engineers working on biological safety evaluations and classifiers, including hiring, onboarding, performance management, and career development.
- Set the technical direction and roadmap for the biological safety research agenda; make prioritization and launch-readiness decisions.
- Own capability evaluations assessing frontier models’ biological capabilities and translate results into deployment recommendations.
- Guide training and evaluation dataset development for safety classifiers using realistic threat models.
- Oversee classifier training and iteration, optimizing adversarial robustness and low false-positive rates.
- Invest in tooling and pipelines for fast, repeatable evaluation and classifier development.
- Establish measurement of classifier and evaluation performance against production traffic; identify gaps and prioritize improvements.
- Direct red-teaming and stress-testing as threats, models, and product surfaces evolve.
- Partner with Research, Product, Policy, and government affairs teams on biological safety throughout the model lifecycle.
- Represent the work in model cards, blog posts, and policy documents.
- Track developments in biology, machine learning, and biosecurity for emerging risks and mitigations.

## Requirements
- Experience managing a technical team, including hiring, coaching, and performance management.
- Experience setting technical direction and prioritizing under uncertainty.
- Proficiency in Python, scientific programming, and data analysis.
- Strong understanding of machine learning fundamentals sufficient to review evaluation design and classifier development.
- Knowledge of modern biology, including high-throughput assays, functional characterization, gene synthesis, genome editing, strain construction, and protein engineering.
- Experience designing quantitative experiments or evaluations and drawing defensible conclusions from noisy results.
- Strong analytical and technical writing skills, with the ability to explain technical concepts to nontechnical stakeholders.
- Familiarity with dual-use research and biosecurity frameworks, including select agent regulations, the Biological Weapons Convention, or Australia Group guidelines.
- Comfort with ambiguity and shifting priorities.

## Nice-to-haves
- 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.
- At least 8 years of hands-on life sciences experience, with deep expertise in molecular biology, drug discovery, or computational biology.
- Experience with large language models, including prompting, fine-tuning, or evaluation.
- Experience training or deploying production classifiers or other ML systems, including reasoning about precision and recall for rare, high-consequence categories.
- Experience developing ML methods for biological systems or biological data.
- Familiarity with adversarial robustness, red-teaming, or ML safety evaluation.
- Experience leading complex technical projects across multiple stakeholder groups.

## Compensation
- Annual salary: **$405,000–$485,000 USD**.

## Similar jobs

- [Engineering Manager, Scheduler and Fleet Efficiency](https://hotfix.jobs/jobs/d024e629-6c8e-457e-b829-b852e81f48b0) - Anthropic - San Francisco, CA - $405k – $485k/yr
- [Software Engineering Manager, Network Security](https://hotfix.jobs/jobs/31b5cc41-f631-404e-888d-529a3437a992) - Anthropic - San Francisco, CA - $405k – $485k/yr
- [Manager, Applied AI Engineering, Life Sciences](https://hotfix.jobs/jobs/49f2cb85-62a4-4035-8e83-ce5920df2eed) - Anthropic - San Francisco, CA - $320k – $405k/yr
- [Manager, Engineering](https://hotfix.jobs/jobs/9aa668fd-9e32-4ca9-a8c8-e0e1a65f2c27) - Garner Health - New York, NY - $310k – $385k/yr
- [Manager, Engineering](https://hotfix.jobs/jobs/01333663-891f-494a-b835-2a1122e74ba6) - Garner Health - New York, NY - $310k – $385k/yr

**Apply:** https://hotfix.jobs/jobs/17a51d8c-e551-4c31-bc6d-31fb5a64448d
**Canonical:** https://hotfix.jobs/jobs/17a51d8c-e551-4c31-bc6d-31fb5a64448d