Staff Scientist - Real World Evidence and Data Science

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  

For years, Abbott’s medical device   business es have offered technologies that are faster, more effective, and less invasive. Whether it’s glucose monitoring system, innovative therapies for treating heart disease, or pr oducts th at 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 Opportunity  

Our location in   Santa Clara , CA currently has an   on-site   opportunity for a   Staff   Clinical Research S cientist . 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.  

Data Analysis & Programming  

• Lead analytic strategy and p erform hands ‑ on programming to execute RWE studies using SQL, R, SAS, Python, or similar languages.   Evaluate and mitigate technical risks in study designs.  

• Manage data preparation, cohort construction, variable derivation, and analysis across diverse data types . Ensure adherence to data governance standards   and   privacy   requirements .  

• Provide technical oversight of   programming logic   and validation ,   partnering with data analysts and data engineers to   ensur e   accuracy, reproducibility, and regulatory readiness.   

Strategy &  Scientific Communication  

• Lead   and oversee   development of   RWE   study   protocols and   reports, regulatory deliverables,   conference   presentations, and   peer ‑ reviewed   scientifi c manuscripts.  

• Communicate with regulatory and reimbursement agencies on study design and results,   t ranslat ing   complex analytical   methods   into clear, clinically meaningful scientific narratives .   

• Mentor other scientists on dataset selection, study design, and presentation of results  

Clinical & Therapeutic Area Expertise  

• Maintain strong   and   up ‑ to ‑ date   knowledge of the clinical landscape in   the   coronary and peripheral vascular space .  

• Monitor emerging evidence, clinical guidelines, competitive technologies, and unmet clinical needs to inform RWE study design, endpoint selection, and evidence generation strategy.  

• Apply clinical context to interpret   real ‑ world   data resul ts, assess relev ance to intended   use   populations, and support regulatory and cli nical decis ion ‑ making.  

Cross ‑ Fu nctional Collaboration  

• Collaborate effectively with peers across biostatistics, clinical affairs, regulatory affairs, medical affairs, health economics, and   R&D   teams.  

• Represent RWE and observational research perspectives in cross ‑ funct ional proje ct teams and strategy discussions.  

• Cultivate relationships with key opinion leaders in the industry , including academic researchers, data vendors, and clinical experts, as appropriate.  

Required Qualifications  

• Masters   Degree ( 18 years), Preferred  

• Minimum 9 years, Related work experience with a complete understanding of specified functional area.  

• Comprehensive knowledge and   application   business concepts,   procedures   and practices. Uses in-depth knowledge of business unit functions and cross group dependencies/ relationships. Is recognized as an expert in   work   group. Will perform this job in a quality system environment. Failure to adequately perform tasks can result in noncompliance with governmental regulations.; 3. (Cognitive Skills) Works on complex problems where analysis of situations or data requires an in-depth evaluation of   various factors .   Exercises   judgment within broadly defined practices and policies in selecting methods,   techniques   and evaluation criteria for obtaining results. Has broad knowledge of various technical alternatives and their potential impact on the business.  

Preferred Qualifications  

• PhD,   DrPH,   MS, or equivalent advanced degree in epidemiology, biostatistics, clinical research, public health, outcomes research, biomedical   engineering , or a related discipline.  

• 4–8  years of experience in real ‑ world evidence, observational research, outcomes research, or related analytical research roles in industry, academia, consulting, or government.  

• Hands ‑ on experience working with real ‑ world data sources, such as electronic health records, administrative claims data, hospital billing data, registries, or similar large healthcare datasets.  

• Deep knowledge   in   observational study design and epidemiologic methods, including cohort studies, definition of exposures and outcomes, confounding considerations, and sensitivity analyses.  

• Experience   in   development of RWE study protocols, analysis plans, or study reports, with exposure to regulatory   or post ‑ market evidence needs   considered   a plus.  

• Practical experience performing data analysis and programming using one or more of the following: SQL, R, SAS, Python, or similar statistical/analytical languages.  

• Experience   collaborating with data analysts to   validate   analytical datasets, programs, and study outputs.  

• E xperience   in   devel opment of   study reports, abstracts, slide decks, and manuscripts, with mentorship as needed.  

• Familiarity with regulatory or methodological guidance relevant to RWE or observational studies, with the ability to apply guidance under supervision.  

• Background or   interest in   the coronary or peripheral vascular space   or a related cardiovascular therapeutic area (e.g.,   structural   heart ,   heart failure , rhythm management), with willingness and ability to build domain expertise over time.  

• Demonstrated ability to manage multiple projects or workstreams simultaneously, prioritize tasks effectively, and deliver high ‑ quality work under timelines, with strong attention to detail.  

• Excellent   written and verbal communication skills, with the ability to explain analytical concepts and results clearly to cross ‑ functional partners   and proven ability to   publish scientific manuscripts  

• Experience working in cross ‑ functional team environments, including collaboration with clinical, regulatory, medical affairs,   or   health economics, is preferred.  

The base pay for this position is $114,000.00 – $228,000.00. In specific locations, the pay range may vary from the range posted.]]><