Staff Scientist - Causal Inference

Role Summary

Your work will change lives. Including your own. 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.

Responsibilities

• 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

Qualifications

• 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
• 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

Education

• Advanced degree in a quantitative discipline. Alternative disciplines will be considered, provided there is work experience in quantitative roles