Member of Technical Staff, Computational Biology

About the Company

Radical Numerics is an AI research lab building general biological intelligence. Their mission is to master the code of life to reduce human suffering, having created Evo, a pioneer in generative genomics.

Responsibilities

• Source, normalize, and steward large-scale genomic, epigenomic, transcriptomic, proteomic, and imaging datasets
• Build evaluation suites and benchmarks to stress-test generative biological models
• Partner with AI engineers to analyze model outputs, run ablations, and guide architecture improvements
• Integrate new datasets and annotations from external collaborators while maintaining compliance and ethical standards
• Communicate findings and best practices across the organization

Requirements

• PhD in genetics, computational biology, or a related field, OR 3+ years of impactful biotech experience
• Proven experience curating and analyzing large biological datasets (genomics, single-cell, spatial, or imaging)
• Fluency with Python, data tooling, and reproducible workflows (git, notebooks, containers)
• Ability to interrogate model outputs and translate findings into actionable recommendations
• Strong communication skills to bridge scientific context with engineering teams

Preferred Qualifications

• Familiarity with generative model evaluation, red-teaming, or safety analysis
• Experience with statistical validation, quality control, or benchmarking for scientific/ML systems
• Experience building benchmarking frameworks or open datasets
• Contributions to shared analytics tooling or reproducible research pipelines