About the Role
The role involves designing and executing data-driven studies to understand disease patterns and patient outcomes, while contributing to the development of scalable data products grounded in epidemiological principles.
Responsibilities
- Design and implement epidemiological studies using real-world data
- Collaborate with cross-functional teams to define research questions
- Develop analytical frameworks for patient data integration
- Apply statistical methods to assess disease prevalence and treatment outcomes
- Support validation of data sources for research accuracy
- Translate scientific findings into actionable insights
- Contribute to the architecture of patient data platforms
- Ensure data quality and consistency across datasets
- Produce reports and visualizations for scientific audiences
- Stay current with regulatory standards in health data research
- Participate in protocol development for observational studies
- Use electronic health records and claims data in analyses
- Evaluate biases and confounding in observational data
- Optimize data pipelines for large-scale epidemiological projects
- Collaborate with software engineers on product implementation
- Support external partnerships involving data sharing
- Contribute to manuscript preparation for peer-reviewed journals
- Present findings to internal and external stakeholders
- Incorporate feedback from clinical experts into analysis design
- Maintain documentation for reproducible research
- Assess generalizability of study results across populations
- Work with privacy-preserving data methods
- Align projects with strategic research goals
- Mentor junior analysts on epidemiological best practices
- Ensure compliance with data use agreements
Compensation
Competitive salary and benefits package
Work Arrangement
Hybrid work model available
Team
Part of a cross-functional team focused on data science and patient-centric product development
About the Team
This role is embedded within a multidisciplinary group advancing data science applications in medicine. The team bridges epidemiology, software engineering, and clinical research to build evidence-based tools for patient care innovation.
Growth and Development
Opportunities exist for professional advancement, including leadership in project design, cross-team collaboration, and contributions to scientific discourse through conferences and publications.
Available for qualified candidates
