Summary written by USA Jobs 24 from Abbott's advert and our data on 17,035 current US jobs. How we check every job
At a glance
Abbott is hiring a Staff Scientist - Real World Evidence in Santa Clara, CA. It is a full-time role in Data, AI & Analytics, asking for at least 9 years of experience, first listed on November 5. The advertised pay is $114,000–$228,000 a year. The description mentions Machine learning, SQL, Python and Statistics. Abbott has 99 other openings in the US, 3 of them in Santa Clara, CA. Across all employers on USA Jobs 24 there are 69 Data & AI openings in Santa Clara, CA today; the typical one asks for 8 years and advertises about $194,000 a year at the midpoint.
How the pay compares
Abbott advertises $114,000 to $228,000 a year, a midpoint of $171,000 a year. Where an offer lands in a range usually depends on experience and on the exact location. That is lower than about 83% of the 565 data & AI jobs in California that publish a yearly rate on USA Jobs 24, where the typical midpoint is $227,000 a year. To see roughly what this leaves after federal and California tax, try our take-home pay calculator.
Skills in this advert
How often each skill named in this advert appears across the 1,783 data & AI jobs we list today. Python is the most widely requested (45% of jobs), while Statistics is the least common (21%). Widely requested skills are what employers expect as a baseline; rarer ones show what is special about this job.
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Before you apply
- Check it is still open. We found this job on Abbott's Workday site on November 5 and checked it again November 5, 5:17 AM ET. When an employer takes a job down, we remove it at our next daily update.
- Check the location works for you. This role is based in Santa Clara, CA. If you would need to move, ask whether relocation help is offered.
- Match the experience. The advert asks for at least 9 years of experience. If you are a little short, a close match on the skills in the advert can still win an interview.
- Tailor your resume. Use the advert's own words, such as Machine learning, SQL and Python, wherever they are true for you. Our resume guide shows how.
- Know your number. Decide the lowest offer you would accept before the first call. Our salary negotiation guide explains how to ask for more.
- Apply only through Abbott's own site. Our Apply button goes straight to Abbott's Workday page. If anyone contacts you about this job and asks for money, gift cards or bank details, stop and check it with our scam checker. Read how to spot a fake job offer.
About hiring at Abbott
Abbott has 100 openings on USA Jobs 24 today across 29 states. Most are in healthcare & pharma (20), software & IT (16) and engineering & mfg (15). The biggest locations are Abbott, IL (7), Sturgis, MI (7) and Columbus, OH (6). 6% of them are remote, 4% are open to entry-level candidates and 100% show pay. We collect Abbott's jobs every day straight from its own careers system (Workday), never from job boards or agencies.
The employer's advert
This is Abbott's own description of the job, copied word for word from its careers site. We have not edited it.
Show the full advert from AbbottHide the advert1,322 words
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
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 Opportunity
Our 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.
Data Analysis & Programming
- Lead analytic strategy and perform 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 ensure 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 scientific manuscripts.
- Communicate with regulatory and reimbursement agencies on study design and results, translating 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 results, assess relevance to intended use populations, and support regulatory and clinical decision‑making.
Cross‑Functional 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‑functional project 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
- Master's Degree
- 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.
- Experience in development 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 – $228,000.00In specific locations, the pay range may vary from the range posted.
JOB FAMILY:
Clinical Affairs / StatisticsDIVISION:
MD Medical DevicesLOCATION:
United States > Santa Clara : Building A - SCADDITIONAL LOCATIONS:
WORK SHIFT:
StandardTRAVEL:
Yes, 5 % of the TimeMEDICAL SURVEILLANCE:
Not ApplicableSIGNIFICANT WORK ACTIVITIES:
Continuous sitting for prolonged periods (more than 2 consecutive hours in an 8 hour day), Continuous standing for prolonged periods (more than 2 consecutive hours in an 8 hour day), Continuous walking for prolonged periods (more than 2 hours at a time in an 8 hour day)Abbott is an Equal Opportunity Employer of Minorities/Women/Individuals with Disabilities/Protected Veterans.EEO is the Law link - English: http://webstorage.abbott.com/common/External/EEO_English.pdfEEO is the Law link - Espanol: http://webstorage.abbott.com/common/External/EEO_Spanish.pdfUSA Jobs 24 copied this listing from Abbott's official careers site on November 5, 2026 and checked it again November 5, 5:17 AM ET. Abbott will never ask you to pay to apply or to buy equipment with a check they send you. If anyone does, it is a scam.
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