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Recursion
Actively Hiring
Decoding biology to radically improve lives501-1000 Employees

Jobs at Recursion

At Recursion, we have the benefit of being able to "ask the cells for more data" in frequent, high-throughput, rich biological experiments to an extent that sets us apart from most others doing biology and disease research. ​Within a year or two, we expect to have among the richest and largest datasets in the world relevant to disease biology, and we will bring the brightest computational and mathematical minds to bear on using this data to advance treatments for dozens of currently untreated conditions. All based on the efficiency and richness of hundreds of thousands of cellular images. We work in a beautiful office and lab space set directly at the base of the mountains, overlooking Salt Lake City, situated directly one floor above the drug discovery core at the University of Utah, giving us direct access to millions of dollars of cutting edge lab automation and imaging equipment. We offer competitive pay, health insurance, relocation assistance (working at the office is part of the deal), equity, a location 30 minutes from 5 amazing mountains and ski resorts, and a group of ambitious, talented, happy, awesome people to work with.
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Sales

VP, Business Development and Licensing

NewPosted 5 days ago

VP, Business Development and Licensing

  • Initiate and build enduring relationships with senior business development and licensing counterparts at pharma and biotech organizations
  • Identify value-maximizing development and commercialization partners for Recursion’s existing clinical and preclinical assets
Engineering

Engineering Manager - Machine Learning

NewPosted 1 month ago

Engineering Manager - Machine Learning

  • Enable AI/ML, LLM, and Agentic Systems teams for scale - The ML infrastructure team is responsible for building and operating platforms that allow data scientists and ML engineers to train, deploy, and monitor models across Recursion's massive datasets. With billions of compounds, 30+ petabytes of experimental data, and complex deep learning workloads, your team enables everything from automated compound screening models to clinical trial prediction systems. You will work closely with researchers and ML engineers to understand their infrastructure needs and build scalable solutions for model development, training, and deployment.