Related skills
data analysis python machine learning biology biosecurityπ Description
- Design and execute capability evaluations to assess model capabilities
- Collaborate with threat modeling experts and ML engineers to train safety systems
- Analyze safety system performance and identify gaps
- Develop rigorous stress-testing of safeguards against evolving threats
- Partner with Research, Product, and Policy teams to embed biological safety across the lifecycle
- Contribute to external communications, including model cards and policy documents
π― Requirements
- PhD in molecular biology, virology, microbiology, biochemistry, systems or computational biology, or related life sciences field, or equivalent experience
- Extensive experience in scientific computing and data analysis, with proficiency in Python
- Deep expertise in modern biology, including reading and writing techniques (high-throughput measurement, gene synthesis, genome editing, protein engineering)
- Familiarity with dual-use research concerns, select agent regulations, and biosecurity frameworks (e.g., Biological Weapons Convention, Australia Group guidelines)
- Strong analytical and writing skills; ability to explain complex technical concepts to non-technical stakeholders
- Background in AI/ML systems, particularly experience with large language models; experience applying ML to biology
π Benefits
- Annual salary range: $245,000 β $285,000 USD
- Visa sponsorship available; we will make every effort to sponsor if an offer is extended
- Location-based hybrid policy: in-office at least 25% of the time
π Visa sponsorship
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