Drimva

Recursion

Senior Computational Biologist - Early Discovery Oncology

$152K–$221K

New York, New York +3 · Senior · Full-time · Posted Jul 9, 2026

Location
New York, New York
Salt Lake City, Utah
New York, New York
Salt Lake City, Utah
Experience
PhD route: 3+ years in biotech or pharma industry; or MS route: 5+ years in biotech or pharma industry solving fundamental problems in early drug discovery. The posting also describes 3+ years of biotech or pharma experience in early drug discovery as ideal.
Education
PhD in a relevant field with a very strong computational focus, or MS in a relevant field.

About the job

Integrate biological and clinical data to discover and validate precision oncology targets and develop patient strategies that advance drug discovery programs.

What you'll do

  • Evaluate molecular evidence and use Recursion’s platform to nominate and validate precision oncology targets.
  • Develop target-discovery methods, data-package criteria, and early patient-population strategies.
  • Collaborate across teams and present analyses that support program milestones and investment decisions.

What they ask for

  • Domain expertise in precision oncology and target identification, with strong understanding of patient genetics and pathway druggability.
  • Experience applying computational methods to complex biological or clinical data using Python or R.
  • Strong data visualization and cross-functional communication skills.

Nice to have

  • Experience building target-discovery engines using public and proprietary datasets.
  • Experience designing high-throughput CRISPR or small-molecule perturbation screens.

Pay

$166,980 to $220,660 USD annual base salary; $151,800 to $200,600 USD annual base salary

Tools

Python, R, CRISPR

AI focus

Use computational methods, including probabilistic, statistical, and/or machine learning techniques, to analyze and integrate biological and clinical data; collaborate on agentic target packages and other computational approaches. The company also states it uses AI-based Talent Matching in hiring.

Model-written summary · the original posting is authoritative

First seen Oct 27, 2026 · Last verified Nov 5, 2026 (UTC)