Real World Data Jobs in California (NOW HIRING)

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'llalso 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, theFreedom 2 Savestudent debtprogramandFreeUeducation benefit - an affordable and convenient path to getting a bachelor's degree

• A company recognized asa great placeto 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 devicebusinesses 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 than10,000 peoplehave 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 ngersticks.

The Opportunity

Our location inSanta Clara, CA currently has anon-siteopportunity for aStaffClinical Research Scientist. Thisnew team memberwill work in Abbott's Global Data Science & Analytics team within the Medical Device Division.TheStaffClinical Research Scientistwillprovide scientific and technical leadership for realworld evidence (RWE) studies supporting postmarketregulatory requirements,reimbursement,market development, andpre-marketsubmissions across Abbott'sVascularportfolio.This individual will lead the design, execution, and dissemination of observational studies using largescalerealworlddata sources, including electronic health records (EHR), insurance claims, hospital administrative and billing databases, anddevicegenerateddata.TheStaff Clinical Research Scientistwillcollaborate withthought leaders withinthe organizationandoutside the company,developing creative ways to presentkey findings to the research community.

WhatYou'llWork On

RealWorld Evidence Leadership

• Define andexecute longterm RWE strategies across theAbbott Vascularportfolio, 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 ofrealworldevidence, health economics, and digital health studies related to Abbott medical devices, usingcomplexdata 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 handson 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 standardsandprivacyrequirements.

• Provide technical oversight ofprogramming logicand validation,partnering with data analysts and data engineers toensureaccuracy, reproducibility, and regulatory readiness.

Strategy &Scientific Communication

• Leadand overseedevelopment ofRWEstudyprotocols andreports, regulatory deliverables,conferencepresentations, andpeerreviewedscientific manuscripts.

• Communicate with regulatory and reimbursement agencies on study design and results,translatingcomplex analyticalmethodsinto clear, clinically meaningful scientific narratives.

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

Clinical & Therapeutic Area Expertise

• Maintain stronganduptodateknowledge of the clinical landscape inthecoronary 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 interpretrealworlddata results, assess relevance to intendedusepopulations, and support regulatory and clinical decisionmaking.

CrossFunctional Collaboration

• Collaborate effectively with peers across biostatistics, clinical affairs, regulatory affairs, medical affairs, health economics, andR&Dteams.

• Represent RWE and observational research perspectives in crossfunctional 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

• MastersDegree ( 18 years), Preferred

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

• Comprehensive knowledge andapplicationbusiness concepts,proceduresand practices. Uses in-depth knowledge of business unit functions and cross group dependencies/ relationships. Is recognized as an expert inworkgroup. 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 ofvarious factors.Exercisesjudgment within broadly defined practices and policies in selecting methods,techniquesand evaluation criteria for obtaining results. Has broad knowledge of various technical alternatives and their potential impact on the business.

PreferredQualifications

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

• 4-8years of experience in realworld evidence, observational research, outcomes research, or related analytical research roles in industry, academia, consulting, or government.

• Handson experience working with realworld data sources, such as electronic health records, administrative claims data, hospital billing data, registries, or similar large healthcare datasets.

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

• Experienceindevelopment of RWE study protocols, analysis plans, or study reports, with exposure to regulatoryor postmarket evidence needsconsidereda plus.

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

• Experiencecollaborating with data analysts tovalidateanalytical datasets, programs, and study outputs.

• Experienceindevelopment ofstudy 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 orinterest inthe coronary or peripheral vascular spaceor a related cardiovascular therapeutic area (e.g.,structuralheart,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 highquality work under timelines, with strong attention to detail.

• Excellentwritten and verbal communication skills, with the ability to explain analytical concepts and results clearly to crossfunctional partnersand proven ability topublish scientific manuscripts

• Experience working in crossfunctional team environments, including collaboration with clinical, regulatory, medical affairs,orhealth economics, is preferred.