Staff Scientist - Real World Evidence and Data Science
United States - Santa Clara : Building A - SC, United States
USD 114K-228K Senior-level Full Time
Tasks
- Communicate study results to regulatory and reimbursement agencies
- Conduct machine learning predictive modeling and phenotyping
- Define and execute real-world evidence strategies
- Develop data preparation cohort construction and variable derivation
- Develop study protocols and analysis plans
- Execute data analysis using SQL R SAS Python
- Lead design and execution of observational studies
- Mentor scientists on study design datasets and presentation
- Perform real world evidence health economics and digital health studies
- Prepare conference presentations and abstracts
- Produce regulatory deliverables reports and manuscripts
Perks/Benefits
Skills/Tech-stack
Administrative Data | Billing Data | Cohort construction | Confounding control | Data Governance | Data Preparation | Digital Health | Electronic Health Records | Health Economics | Health Records | Hospital Administrative Data | Hospital billing | Hospital billing data | Imaging data | Insurance claims | Machine Learning | Observational Study | Observational Study Design | Phenotyping | Predictive Modeling | Privacy Compliance | Python | R | Real-World Evidence | SAS | SQL | Sensitivity Analysis | Study design | Variable Derivation
Education
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