Staff Scientist Real World Evidence Data positions focus on delivering results in their domain. This page aggregates open Staff Scientist Real World Evidence Data roles and what employers typically expect.
Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 115,000 colleagues serve people in more than 160 countries. ## **JOB DESCRIPTION:** Working at AbbottAt Abbott, you can do work that matters, grow, and learn, care for yourself and family, be your true self and live a full life. You’ll also have access to: - Career development with an international company where you can grow the career you dream of - Employees can qualify for free medical coverage in our Health Investment Plan (HIP) PPO medical plan in the next calendar year. - An excellent retirement savings plan with high employer contribution - Tuition reimbursement, the [Freedom 2 Save](https://www.abbott.com/corpnewsroom/strategy-and-strength/tackling-student-debt-for-our-employees.html) student debt program and [FreeU](https://www.abbott.com/corpnewsroom/strategy-and-strength/college-degree-for-free-its-possible-with-freeu.html) education benefit - an affordable and convenient path to getting a bachelor’s degree - A company recognized as a great place to work in dozens of countries around the world and named one of the most admired companies in the world by Fortune - A company that is recognized as one of the best big companies to work for as well as a best place to work for diversity, working mothers, female executives, and scientists For years, Abbott’s medical device businesses have offered technologies that are faster, more effective, and less invasive. Whether it’s glucose monitoring system, innovative therapies for treating heart disease, or products that help people with chronic pain or movement disorders, our medical device technologies are designed to help people live their lives better and healthier. Every day, our technologies help more than 10,000 people have healthier hearts, improve quality of life for thousands of people living with chronic pain and movement disorders, and liberate more than 500,000 people with diabetes from routine fingersticks.The OpportunityOur location in Santa Clara, CA currently has an on-site opportunity for a **Staff** **Clinical Research Scientist**. This new team member will work in Abbott’s Global Data Science & Analytics team within the Medical Device Division. The **Staff Clinical Research Scientist** will provide scientific and technical leadership for real‑world evidence (RWE) studies supporting post‑market regulatory requirements, reimbursement, market development, and pre-market submissions across Abbott’s Vascular portfolio. This individual will lead the design, execution, and dissemination of observational studies using large‑scale real‑world data sources, including electronic health records (EHR), insurance claims, hospital administrative and billing databases, and device‑generated data. The **Staff Clinical Research Scientist** will collaborate with thought leaders within the organization and outside the company, developing creative ways to present key findings to the research community.What You’ll Work On **Real**‑**World Evidence Leadership** - Define and execute long‑term RWE strategies across the Abbott Vascular portfolio, in collaboration with clinical, regulatory, medical affairs, and market access stakeholders. Translate clinical and economic evidence gaps into actionable strategies aligned with business priorities. - Lead the design and execution of real‑world evidence, health economics, and digital health studies related to Abbott medical devices, using complex data sources such as electronic health records, insurance claims, imaging data, and hospital administrative/billing databases. - Support data science initiatives to transform complex healthcare data into clinically actionable insights through machine learning, predictive modeling, and advanced phenotyping approaches. *…