Senior Computational Biologist – Early Discovery Immunology

What you'll do

• Evaluate molecular evidence and identify targets and disease vulnerabilities using Recursion’s platform.
• Pilot target-discovery and disease-validation methods, and define target data-package criteria and early patient-population strategies.
• Collaborate across scientific and engineering teams to develop data packages, communicate analyses, and inform program decisions.

What they ask for

• Domain expertise in immunological diseases and target identification, with understanding of patient genetics and pathway druggability.
• Experience applying computational methods, including probabilistic, statistical, and/or machine learning techniques, to complex biological or clinical data using Python or R.
• Strong data visualization and cross-functional communication skills.
• PhD in a relevant field with a strong computational focus, or MS in a relevant field.

Nice to have

• Experience building target-discovery engines using public and proprietary datasets.
• Experience designing high-throughput CRISPR or small-molecule perturbation screens; exposure to advancing drug programs from proof of concept to IND.

Pay

$166,980 to $220,660 USD base salary (New York City); $151,800 to $200,600 USD base salary (Salt Lake City)

Tools

Python, R, CRISPR

AI focus

Apply machine learning and other computational methods to biological and clinical data for target discovery and validation; collaborate on agentic target packages, early translational de-risking, and mechanism-of-action identification. The company also uses Greenhouse Talent Matching AI to review applications; hiring decisions are made by human recruiters and hiring managers.