Senior Computational Biologist – Genomics & ML

radicalnumerics.ai; San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Radical Numerics seeks a leader in computational biology to turn complex genomics questions into well-defined computational projects. You will work across genomics, gene regulation, protein biology, and systems biology, translating scientific questions into robust data analyses and software.

The role emphasizes collaboration with model researchers and experimental teams to build high-quality datasets and analyses that advance scientific discovery.

Qualifications

• PhD or equivalent research or industry experience.
• Deep expertise in at least one biological domain.
• Strong Python or R programming skills and experience building reliable, reproducible analyses or software.
• Ability to work between biology, machine learning, and engineering and communicate assumptions, results, and limitations clearly.

Responsibilities

• Curate and integrate biological datasets with provenance and QC.
• Build reproducible bioinformatics pipelines across sequencing and functional genomics data.
• Design data mixtures and sampling strategies for model training and evaluation.
• Define tasks, endpoints, and baselines with modeling and evaluation teams.
• Collaborate with wet-lab colleagues to generate training data and validate findings.

Skills

Python/R

Cross-disciplinary collaboration

Biology domain expertise

Model evaluation

Education

PhD or equivalent

Job description

Radical Numerics seeks a leader in computational biology to turn complex genomics questions into well-defined computational projects. You will work across genomics, gene regulation, protein biology, and systems biology, translating scientific questions into robust data analyses and software.

The role emphasizes collaboration with model researchers and experimental teams to build high-quality datasets and analyses that advance scientific discovery.