What You'll Do
- Query electronic health record databases to create necessary data files for analytics
- Create statistical analysis plans and lead analytical programming and execution to support high profile research and claims substantiation
- Apply advanced quasi-experiemental statistical methods on observational data for the purpose of causal inference (e.g. propensity score matching, within-subject proportional hazards)Identify and implement appropriate models for longitudinal and repeated measures datasets
- Conduct power analyses to determine appropriate sample and minimum effect sizes for studiesCreate documentation to support scientific publications, claims substantiation, and other dissemination as needed
What You'll Bring to the Team
- MS or PhD in Biostatistics, Quantitative Methods, or related discipline (PhD preferred)
- 3+ years’ experience as a statistician in a health care setting
- Proficiency in SQL and statistical modeling software including (R and/or Python)
- Experience with big data
- Experience with complex statistical modeling for causal inference and longitudinal analysis
- Experience with power analyses
- Excellent oral and written communication skills.
- Strong collaborative skills and ability to work with a cross-functional team
- Knowledge of obesity space
- Comfort with data science fundamentals and applications
- Experience with Git
We've Got You Covered
- Full medical, dental, and vision insurance + OneMedical membership
- Healthcare and Dependent Care FSA
- 401(k) with company match
- Flexible PTO
- Wellbeing + Learning & Growth reimbursements
- Paid parental leave + Fertility benefits
- Pet insurance
- Student loan refinancing
- Virtual resources for mindfulness, counseling, and fitness
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