Member of Technical Staff, Computational Biology
Hybrid (SF Bay Area)full-timePosted 8mo ago
About the role
Science-focused Member of Technical Staff responsible for curating multimodal biological datasets, analyzing model behavior, developing benchmarks, and ensuring outputs meet scientific standards in a collaborative AI biology environment.
Responsibilities
- Source, normalize, and steward large-scale genomic, epigenomic, transcriptomic, proteomic, and imaging datasets with rigorous metadata and provenance.
- Build evaluation suites and benchmarks that stress-test generative biological models across modalities and tasks.
- Partner with AI engineers to analyze model outputs, run ablations, and surface insights that guide future architecture and training improvements.
- Integrate new datasets and annotations from external collaborators while maintaining compliance, privacy, and ethical standards.
- Communicate findings and best practices across Radical Numerics so teams can trust and act on model results.
Qualifications
- PhD in genetics, computational biology, or a related field, OR demonstrated experience in biotech with a strong track record of impact over 3+ years.
- Proven experience curating, harmonizing, and analyzing large biological datasets (e.g., genomics, single-cell, spatial, or imaging).
- Fluency with Python, data tooling, and reproducible workflows (git, notebooks, containers).
- Ability to interrogate model outputs, debug unexpected behaviors, and translate findings into actionable recommendations.
- Clear communicator who can bridge scientific context with engineering teams and partner organizations.
- Curiosity and resilience when tackling open-ended scientific challenges.
Skills
Required:Genomics and omics data curationData analysis and reproducible workflowsCommunication and cross-disciplinary collaboration
Benefits
- Competitive compensation
- Comprehensive benefits
- Support for continual learning
Last updated May 28, 2026. Interested? Apply on the company site.
About Radical Numerics
Next-gen AI lab for recursive self-improvement
Radical Numerics - Next-gen AI lab for recursive self-improvement
AIAI labrecursive self-improvement
More open roles at Radical Numerics
- Product Manager5mo agoHybrid (San Francisco, CA)
- Senior Engineering Manager5mo agoHybrid (SF Bay Area or Tokyo, Japan)
- Member of Technical Staff, Statistical Genetics5mo agoHybrid (SF Bay Area)
- Chief of Staff5mo agoHybrid (San Francisco Bay Area)
- Member of Technical Staff, Backend Engineering7mo agoHybrid (SF Bay Area), Hybrid (Tokyo, JP) · Engineering