The Impact You’ll Make
Within Recursion, the clinical development technology (“ClinTech”) team is at the forefront of applying technology to increase efficiency in our clinical programs. The ClinTech team supports study planning, execution, and contextualization of trial results. The mission is to dramatically increase the probability of success of our clinical programs.
In this role, you will:
- Apply statistical programming skills to large databases, including health insurance claims, electronic health records, and real-world human genomics data
- Apply causal inference skills to infer relationships between clinical, genomics, and outcomes.
- Build relationships with clinical development, clinical operations, biometrics and computational biology teams.
- Produce scientifically rigorous evidence that will facilitate decision-making in clinical (and sometimes pre-clinical) programs.
The Team You’ll Join
We are a small, yet highly visible team within Recursion focused on the frontiers of clinical development and also dabble with pre-clinical phases. We carry ourselves with humility, work with speed and curiosity, and hold ourselves to the highest standards of scientific rigor.
The Experience You’ll Need
- Advanced degree in a quantitative discipline. Alternative disciplines will be considered, provided there is work experience in quantitative roles.
- At least 6 years of experience in the application of the skills highlighted below will be required.
- Expertise with at least one statistical programming language such as Python or R
- Strong background in applied statistics, including model fitting and inference from observational data. Hands-on experience developing and validating machine-learning predictive models.
- Experience in biotech research and development is required.
Working Location & Compensation:
This is an office-based role in either Salt Lake City or New York City. Employees are expected to work in the office at least 50% of the time.
At Recursion, we believe that every employee should be compensated fairly. Based on the skill and level of experience required for this role, the estimated current annual base range for this role is $200,600 to $238,400.You will also be eligible for an annual bonus and equity compensation, as well as a comprehensive benefits package.
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The Values We Hope You Share:
- We act boldly with integrity. We are unconstrained in our thinking, take calculated risks, and push boundaries, but never at the expense of ethics, science, or trust.
- We care deeply and engage directly. Caring means holding a deep sense of responsibility and respect - showing up, speaking honestly, and taking action.
- We learn actively and adapt rapidly. Progress comes from doing. We experiment, test, and refine, embracing iteration over perfection.
- We move with urgency because patients are waiting. Speed isn’t about rushing but about moving the needle every day.
- We take ownership and accountability. Through ownership and accountability, we enable trust and autonomy—leaders take accountability for decisive action, and teams own outcomes together.
- We are One Recursion. True cross-functional collaboration is about trust, clarity, humility, and impact. Through sharing, we can be greater than the sum of our individual capabilities.
Our values underpin the employee experience at Recursion. They are the character and personality of the company demonstrated through how we communicate, support one another, spend our time, make decisions, and celebrate collectively.
More About Recursion
Recursion (NASDAQ: RXRX) is a clinical-stage TechBio company decoding biology to radically improve lives. Recursion is advancing a portfolio of differentiated investigational medicines across its wholly owned and partnered pipeline in oncology, rare disease, neuroscience, immunology, and other therapeutic areas with significant unmet need. Enabling its mission is the Recursion OS, an AI-native, end-to-end drug discovery and development platform integrating biology, chemistry, and clinical development into a unified intelligence system. Powered by proprietary multimodal data, purpose-built AI models, and bilingual teams fluent in both science and AI, the Recursion OS is designed to translate complex science into medicines that matter — faster, better, and at scale — for patients who are waiting.
Recursion’s platform infrastructure is anchored in Salt Lake City, Utah and Milton Park, Oxfordshire, where its automated biology and chemistry laboratories generate proprietary data at industrial scale. Recursion also maintains offices in New York, Montréal, and London, three global hubs for talent and leadership at the intersection of AI and scientific innovation. Learn more at www.recursion.com, or connect on X and LinkedIn.
Recursion is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected under applicable federal, state, local, or provincial human rights legislation.
Accommodations are available on request for candidates taking part in all aspects of the selection process.
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What We Do
We are a clinical-stage biotechnology company decoding biology by integrating technological innovations across biology, chemistry, automation, data science and engineering to industrialize drug discovery. We are leveraging new technology to create virtuous cycles of learning around datasets to build the next-generation biopharmaceutical company. It’s complex biology, decoded. While we are united in a common mission, Decoding Biology to Radically Improve Lives, our greatest strength lies in our differences: expertise, gender, race, disciplines, experience, and perspectives. Deliberately building and cultivating this culture is critical to achieving our audacious goals. We are proudly headquartered in Salt Lake City.
Why Work With Us
We are the leading AI/ML-driven drug discovery company, running +1.5 million experiments every week as we develop a map of human biology. This approach has created one of the largest, broadest and deepest pipelines of any technology-enabled drug discovery company.
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