Staff Scientist - Real World Evidence and Data Science
Abbott · Santa Clara, CA +1 more
The apply link worked recently (not employer-confirmed).
Role summary
Abbott seeks a Staff Scientist to lead real-world evidence initiatives for its Vascular medical device portfolio. The role involves designing and executing observational studies using large-scale healthcare data sources, providing scientific leadership across regulatory, reimbursement, and market development activities.
Where this listing comes from
This listing was compiled by RoleLantern from the employer's publicly available posting on Workday, captured and rephrased by RoleLantern using automated (AI) tools on 2026-10-06 (originally posted 2026-10-06). It was not submitted or confirmed by the employer through RoleLantern. Details may be inaccurate, incomplete, outdated, or no longer available; please confirm with the employer's official posting before applying.
What they're looking for
- Advanced degree in clinical research, epidemiology, biostatistics, data science, or related field
- Expertise in real-world evidence study design and observational research methods
- Proficiency in SQL, R, SAS, Python, or similar programming languages for healthcare data analysis
- Experience working with electronic health records, claims databases, and large healthcare datasets
- Knowledge of regulatory requirements and clinical evidence standards in medical devices
- Strong scientific communication skills for regulatory submissions and peer-reviewed publications
What you'll be doing
- Define and execute long-term real-world evidence strategies across Abbott Vascular portfolio with cross-functional stakeholders
- Lead design and execution of observational studies using complex healthcare data sources including EHR and claims databases
- Perform hands-on programming and analytic strategy to support real-world evidence studies while ensuring regulatory readiness
- Develop study protocols, regulatory deliverables, presentations, and peer-reviewed manuscripts communicating complex findings
- Mentor scientists on dataset selection, study design, and maintain expertise in coronary and peripheral vascular clinical landscape
Privacy & handoff
This role links to Abbott's own application system. RoleLantern records your interest and checks the link, but the application happens on the employer's site and status updates may not come back to us. Clicking apply does not mark you as applied automatically.