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Sr. Full Stack Software Engineer at Recursion Pharmaceuticals (Salt Lake City, UT)

At Recursion we combine experimental biology, automation, and artificial intelligence to quickly and efficiently identify treatments for human diseases. We are transforming drug discovery into a data science problem and to do that we are building a platform for rapid biological experimentation, data generation, and automated analysis, model training, and prediction.


As a Software Engineer youll work closely with Biologists, Automation Scientists, and Data Scientists to build the infrastructure and applications needed to decode human biology and reinvent drug discovery. In this role you will:

  • Build a platform for experiment design.Youll work with Biologists to create self-service and automated experiment design tools to allow them to focus on what biology they want to do rather than how it will be executed, while ensuring experiments are designed to generate high quality data. Youll then close the loop by feeding the results of analysis into the next round of experiments.
  • Connect our high throughput screening lab with monitoring and downstream analysis.Youll consume streaming data from robots, automated liquid handlers, microscopes, and incubators in our lab to monitor successful experiment execution, enable triage of anomalies and errors, and support downstream analysis based on as-executed experiment conditions.
  • Build a laboratory information management system(LIMS) to track reagent inventory and enable just-in-time preparation for execution of prioritized experiments.
  • Translate and presentthe results of experiments and predictive models.Youll  work with Data Scientists to build data-powered applications that will empower us to prioritize and de-risk potential drugs and get them to patients faster.
  • Act as a mentor.You will share your technical knowledge and experiences, resulting in an increase in their productivity and effectiveness.


  • Experimentation- We want Software Engineers who think critically and use data to measure results.Rigorous use of the scientific method allows our Software Engineers to quickly understand the critical aspects of the problems were trying to solve and whether were moving in the right direction.
  • Collaboration- We want Software Engineers who play well with others.  You will collaborate with our Biological, High Throughput Screening, and Data Science teams to help us achieve our mission to discover transformative new treatments. Expect to spend time in the lab as well as the terminal.
  • Asking why? - We want Software Engineers who arent satisfied with the status quo. Our Software Engineers openly discuss the tradeoffs inherent in how we build software, and go beyond the traditional boundaries of engineering teams to enable Recursion to get things done faster, cheaper, and more reliably than in traditional drug discovery.


  • An ability to be resourceful and collaborative in order to complete large projects. We don't have much in the way of project managers.
  • An ability to get things done using various tools from the nooks and crannies of software engineering: composing command line tools such as kubectl, jq, and xargs; creating SQL triggers and managing migrations; user experience design; and operational support.
  • Be comfortable writing tests for your own code and expanding beyond tests to include other quality staples such as automated deployments, logging, metrics collection, and monitoring.
  • Demonstrate past record of learning from and teaching peers in areas of performance, scalability, and system architecture.
  • Track record of learning new technologies as needed to get things done. Our current tech stack uses Go, JavaScript, React, Python and the pydata libraries, and Clojure, along with Kafka, PostgreSQL, Docker, and Kubernetes, on cloud services provided by Google Cloud Platform.
  • Biology background is not necessary, but intellectual curiosity is a must!


  • 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.

by via developer jobs - Stack Overflow

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