Recursion Pharmaceuticals

Senior Scientist, Computational Oncology

Job Description

Posted on: 
February 13, 2023

As part of the Computational Oncology team, you will be at the forefront of reimagining oncology drug discovery, from first principles, using Recursion’s massive data capabilities. You will have the freedom and support to lead multiple computational and/or therapeutics projects from launch to preclinical development, with the ultimate goal of bringing life-changing therapeutics to patients living with cancer.


  • Discover and develop new analytics and workflows for leveraging Recursion’s unique capacity to perform >1 million experiments per week for oncology target ID, program nomination and machine learning (ML)-enabled biomarker development. Work on complex biomarker development for novel therapeutics
  • Deliver multiple new computational approaches and therapeutic programs into Recursion’s oncology pipeline and iterate quickly to move from ideation to validation on multiple projects at an accelerated pace
  • Industrialize approaches and analyses to not only solve for the current project, but also to accelerate future projects and scale the impact that we can have
  • Synthesize diverse datasets (internal and external) to accelerate insight- and program-generation from Recursion’s phenomics data
  • Strategically design experiments and define novel datasets to advance our capabilities and answer critical questions for drug discovery
  • Collaborate cross-functionally with Recursion’s data science and ML teams to further advance Recursion’s ability to interpret and translate large-scale phenomics data into therapeutic programs

Job Requirements

  • PhD in a relevant field (bioinformatics, statistics, quantitative pharmacology, cancer/cell biology, etc.) with 2+ years of experience applying professional competencies to fundamental problems in oncology drug discovery within the pharma/biotech industry
  • Demonstrated experience mining and integrating large multimodal datasets to identify targets and/or pathways relevant to drug discovery in cancer (familiarity with oncology relevant datasets preferred)
  • Experience applying computational methods, (including probabilistic, statistical, and/or machine learning techniques), to analyze complex biological and/or human clinical data
  • Fluency and experience working with high-level programming language such as Python or R for complex data analysis
  • Experience in efficiently advancing drug program projects from proof of concept to preclinical. Industry oncology drug discovery experience preferred
  • Understanding of current state of cancer therapeutic development and ability to drive scientific strategy
  • Demonstrated ability to carry and prioritize among multiple projects and program teams
  • Bold, passionate and highly collaborative with experience working in cross-functional teams
  • Exceptional data visualization skills

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