Staff Scientist - Causal Inference

Recursion • Salt Lake, NY

7d • Hybrid

About The Position

Your work will change lives. Including your own. 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.

Requirements

• 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.

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 501-1,000 employees