Global Health Full-time

Staff Scientist - Causal Inference

Recursion

Posted

Feb 23, 2026

Location

USA

Type

Full-time

Compensation

$200600 - $238400

Mission

What you will drive

  • 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

Impact

The difference you'll make

This role dramatically increases the probability of success of clinical programs by applying technology to increase efficiency in clinical development, ultimately advancing the future of medicine to radically improve lives.

Profile

What makes you a great fit

  • Advanced degree in a quantitative discipline (alternative disciplines considered with quantitative work experience)
  • At least 6 years of experience in applying relevant skills
  • 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, with hands-on experience developing and validating machine-learning predictive models
  • Experience in biotech research and development is required

Benefits

What's in it for you

Estimated annual base range of $200,600 to $238,400, plus eligibility for an annual bonus and equity compensation, and a comprehensive benefits package. The company emphasizes fair compensation, values-based culture, and cross-functional collaboration.

About

Inside Recursion

Recursion is a clinical stage TechBio company that decodes biology to radically improve lives through its Recursion OS platform, which generates one of the world's largest proprietary biological and chemical datasets and uses machine learning to advance medicine.