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Senior Computational Biologist - Early Discovery Oncology

Recursion · New York, New York; Salt Lake City, Utah · New York, New York · Salt Lake City, Utah

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Bio & Science AIonsitesenior
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At a glance

Highlights

  • Integrate massive phenomics and omics datasets to nominate novel oncology targets.
  • Define precision oncology strategies to advance targets into drug discovery programs.
  • Pilot novel methods for target validation and early translational de-risking.

Ideal candidate

Collaborative computational biologist energized by precision oncology who thrives at the biology-technology intersection and turns complex data into patient impact. You communicate clearly with diverse stakeholders to drive new therapies forward.

Requirements

  • PhD with strong computational focus and 3+ years biotech or pharma experience in early drug discovery, or MS with 5+ years
  • Domain expertise in precision oncology and target identification
  • Strong understanding of patient genetics and druggability of disease-relevant pathways
  • Experience applying probabilistic, statistical and ML methods to integrate complex biological and clinical data in Python or R
  • Exceptional data visualization skills
  • Excellent cross-functional communication skills explaining complex science to diverse audiences

Lab profile

About Recursion

AI-native biotech industrializing drug discovery with automation and data to advance oncology and rare disease medicines.

What they build

  • Recursion OS drug discovery platform
  • Oncology clinical pipeline
  • Rare disease clinical pipeline

Known for

  • AI-native end-to-end drug discovery
  • Computational biology for early discovery
  • Clinical development in oncology and rare disease

Key facts

  • Founded 2013
  • Headquartered in Salt Lake City, Utah
  • Public company (Nasdaq: RXRX)
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Apply on the lab’s site ↗