At Recursion, we combine experimental biology, automation and artificial intelligence to quickly and efficiently identify treatments for human diseases.  This platform is the core of our mission: transforming drug discovery into a data science problem. You'll work with our data, biology, high-throughput screening (HTS), and engineering teams to identify and answer questions in high-dimensional data space using your abilities and intuitions and our evolving data science platform.  Broadly speaking, you'll need to effectively leverage your computational skills, experience with microscopy datasets, and background understanding of biological experiments and data to help us improve our search for treatments.



Two of the core tasks at Recursion are to 1) identify diseases that we can confidently model with our imaging data and 2) prioritize compounds that are likely to show efficacy in a given disease model. In this role, you will be an integral part of the team that reviews and improves the current computational platform for these tasks. Competency in devising and performing exploratory analyses for a wide range of experimental questions is critical to success in this role, as is a clear understanding of what you can and cannot conclude from a specific dataset, and the ability to present and discuss your conclusions. You will be responsible for developing a detailed understanding of our current pipeline, suggesting and benchmarking improvements and designing new creative ways of answering vital questions. Once identified, you will need to scale the solutions, metrics, and analyses that you develop and deploy them in collaboration with our engineering teams in order to advance our platform.  As a Senior Data Scientist, you will also leverage your experience to effectively gauge the scope and impact of your projects against the broader team and company goals in collaboration with a team lead and project manager, in addition to independently executing on those projects.



  • High fluency and the equivalent skills of 4+ years of experience in: microscopy image analysis, machine learning, coding, and answering questions in high-dimensional numerical datasets using the Python data stack (pandas, sklearn, keras, tensorflow, pytorch, etc).
  • The ability to structure unstructured problems, even those without a clearly defined measure of success, in order to derive conclusions and make decisions amidst great uncertainty.
  • Understanding of cellular biology and experience with biological datasets.
  • A track record of outstanding past projects, publications, or presentations.
  • Code you can share. Send a link along with your email (helpful, not required).
  • Intellectual curiosity and the professional skill-set to excel in an open, highly collaborative environment.



  • Coverage of health, vision, and dental insurance premiums (in most cases 100%)
  • 401(k) with generous matching (immediate vesting)
  • Stock option grants
  • Two one-week paid company closures (summer and winter) in addition to flexible, generous vacation/sick leave
  • Commuter benefit and vehicle parking to ease your commute
  • Complimentary chef-prepared lunches and well-stocked snack bars
  • Generous paid parental leave (including adoptive)
  • Fully-paid gym membership to Metro Fitness, located just feet away from our new headquarters
  • Gleaming new 100,000 square foot headquarters complete with a 70-foot climbing wall, showers, lockers, and bike parking



We have raised over $80M to apply machine learning to one of the most unique datasets in existence - over a petabyte of imaging data spanning more than 10 billion cells treated with hundreds of thousands of different biological and chemical perturbations, generated in our own labs - in order to find treatments for hundreds of diseases. Our long term mission is to decode biology to radically improve lives and we want to understand biology so well that we can fix most things that go wrong in our bodies. Our data scientists and machine learning researchers work on some of the most challenging and interesting problems in computational drug discovery, and collaborate with some of the brightest minds in the deep learning community (Yoshua Bengio is one of our advisors), who help our machine learning team design novel ways of tackling these problems.

Recursion is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. Recursion strictly prohibits and does not tolerate discrimination against applicants because of race, color, religion, creed, national origin or ancestry, ethnicity, sex, pregnancy, gender (including gender nonconformity and status as a transgender individual), age, physical or mental disability, citizenship, past, current, or prospective service in the uniformed services, or any other characteristic protected under applicable federal, state, or local law.



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