Member of Technical Staff: Computational Biology

The role

This person will provide biological expertise to the data, tasks, and analyses behind models. They will turn questions in genomics, gene regulation, protein biology, or systems biology into computational work.

What you will do

• Curate and integrate large biological datasets with clear provenance and quality control.
• Build reproducible bioinformatics and analysis pipelines.
• Help design data mixtures and sampling strategies for model training.
• Investigate how dataset composition and biological coverage affect downstream results.
• Define biologically meaningful tasks, endpoints, and baselines with modeling and evaluation teams.
• Investigate model predictions and failure modes.
• Work with wet lab collaborators to formulate testable hypotheses and prioritize validation experiments.
• Generate new training data sets.

Required qualifications

• PhD or equivalent research or industry experience in computational biology, bioinformatics, genomics, or another relevant area of biology.
• Deep expertise in at least one biological domain.
• Strong Python or R programming skills.
• Experience building reliable, reproducible scientific analyses or software.
• Ability to work between biology, machine learning, and engineering.
• Ability to communicate assumptions, results, and limitations clearly.
• Experience working with agentic coding tools.

Nice to have

• Experience with large-scale biological data curation, data mixing, or bioinformatics infrastructure.
• Experience with biological foundation models or research contributions, datasets, methods, or software used by other scientists.

About the company

Radical Numerics is an AI research lab building general biological intelligence. Their mission is to master the code of life and reduce human suffering.