Associate Director, Real-World Evidence, Global Data Science & Analytics (GDSA) (on-site)
AbbottAbout the role
JOB DESCRIPTION:
Working at Abbott
At 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 student debt program and FreeU 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
Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies that span the spectrum of healthcare, with leading businesses and products in medical devices, diagnostics, nutrition, and branded generic medicines. Our goal is to improve the lives of more than 3 billion people by decade's end – reaching 1 billion more than we do today, each year. Our 115,000 colleagues serve people in more than 160 countries.
Abbott Medical Devices, with revenue of $21B in 2025, is a global leader in providing life changing technology for the management and treatment of people living with chronic conditions including diabetes, cardiovascular disease, chronic pain, and movement disorders.
The Opportunity
We are looking for an Associate Director, Global Data Science & Analytics to join our Medical Devices team on-site in Santa Clara, CA. This new team member will be responsible for overseeing activities within the Global Data Science & Analytics team related to the Vascular business unit.
You will lead and execute data analytics projects that generate impactful real-world evidence and insights related to medical device technology, relevant disease states, and healthcare economics. In addition, you will support digital health and data science initiatives. You will work with different types of real-world data, developing creative ways to analyze and present your results. As a leader of the GDSA team, you will collaborate with internal and external stakeholders to identify business needs, develop strategy, identify appropriate data sources and analytic methods, and execute projects on specified timelines. You will lead a cross-functional team of clinical researchers, analysts, data scientists, and data engineers in project planning and execution. You will interact with key opinion leaders in the healthcare space, including physicians, regulators, and payors. Your work will support healthcare decisions by patients, physicians, health authorities, payers, and policy makers.
What You’ll Work On
- Collaborate with counterparts across functional domains to understand business needs and develop strategy, with the ultimate goal of reducing the burden of clinical trials by generating clinical and economic evidence with the use of real-world data.
- Oversee analyses using varied healthcare data types, including electronic health records, hospital administrative data, and insurance claims data.
- Serve as a subject matter expert for real-world evidence studies across the business.
- Partner with leaders in clinical affairs, regulatory, medical affairs and marketing for project selection and prioritization.
- Communicate with regulatory agencies and payer organizations on real-world evidence studies.
- Cultivate relationships with key opinion leaders in the healthcare industry.
- Prepare and oversee preparation of conference presentations and scientific manuscripts.
- Prepare and oversee preparation of real-world evidence protocols and reports for regulatory agencies.
- Lead digital health and data science i
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