Staff Scientist - Causal Inference

• 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

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.

• 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

Estimated annual base range of $200,600 to $238,400, plus eligibility for annual bonus and equity compensation, and a comprehensive benefits package. The company culture emphasizes values like acting boldly with integrity, caring deeply, learning actively, moving with urgency, taking ownership, and cross-functional collaboration.