Staff Scientist - Real World Evidence

Abbott • Santa Clara, SC

1d • Onsite

About The Position

Abbott’s Global Data Science & Analytics team within the Medical Device Division is seeking a Staff Clinical Research Scientist to provide scientific and technical leadership for real-world evidence (RWE) studies across Abbott’s Vascular portfolio. The studies support post-market regulatory requirements, reimbursement, market development, and pre-market submissions. The role leads the design, execution, and dissemination of observational research using large-scale real-world data, including electronic health records, insurance claims, hospital administrative and billing databases, imaging data, and device-generated data.

The position develops long-term RWE strategies with clinical, regulatory, medical affairs, and market access stakeholders, and translates clinical and economic evidence gaps into actionable plans. It includes hands-on programming and analytic leadership, oversight of data preparation and validation, and ensuring data governance, privacy, reproducibility, and regulatory readiness. The scientist leads study protocols, reports, regulatory deliverables, presentations, and scientific manuscripts; communicates findings to agencies and the research community; and mentors other scientists.

The role also applies clinical knowledge of coronary and peripheral vascular conditions to interpret results and inform study design and decision-making. It collaborates across biostatistics, clinical affairs, regulatory affairs, medical affairs, health economics, and R&D, and develops relationships with academic researchers, data vendors, clinical experts, and other key opinion leaders. The position is based on-site in Santa Clara, California, with 5% travel.

Requirements

• Master's degree.
• Minimum of 9 years of related work experience, with a complete understanding of the specified functional area.
• Comprehensive knowledge and application of business concepts, procedures, and practices.
• In-depth knowledge of business-unit functions and cross-group dependencies and relationships; recognized as an expert in the work group.
• Ability to work in a quality-system environment and perform tasks in a manner that supports compliance with governmental regulations.
• Ability to analyze complex problems and situations, evaluate multiple factors, and exercise judgment in selecting methods, techniques, and evaluation criteria.
• Broad knowledge of technical alternatives and their potential business impact.
• Excellent written and verbal communication skills, including the ability to explain analytical concepts and results clearly to cross-functional partners.
• Demonstrated ability to manage multiple projects or workstreams, prioritize effectively, and deliver high-quality work to timelines with attention to detail.

Nice To Haves

• 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 with real-world data sources such as electronic health records, administrative claims, hospital billing data, registries, or similar large healthcare datasets.
• Deep knowledge of observational study design and epidemiologic methods, including cohort studies, exposure and outcome definition, confounding considerations, and sensitivity analyses.
• Experience developing RWE study protocols, analysis plans, or study reports; exposure to regulatory or post-market evidence needs is a plus.
• Practical experience with SQL, R, SAS, Python, or similar statistical or analytical programming languages.
• Experience collaborating with data analysts to validate analytical datasets, programs, and study outputs.
• Experience developing study reports, abstracts, slide decks, and manuscripts, with mentorship as needed.
• Familiarity with regulatory or methodological guidance relevant to RWE or observational studies and ability to apply guidance under supervision.
• Background or interest in coronary or peripheral vascular medicine or a related cardiovascular therapeutic area, with willingness and ability to build domain expertise.
• Experience working in cross-functional teams, including collaboration with clinical, regulatory, medical affairs, or health economics.

Responsibilities

• Define and execute long-term RWE strategies across the Abbott Vascular portfolio with relevant cross-functional stakeholders.
• Translate clinical and economic evidence gaps into actionable strategies aligned with business priorities.
• Lead the design and execution of RWE, health economics, and digital health studies using complex healthcare data sources.
• Support data science initiatives that turn complex healthcare data into clinically actionable insights using machine learning, predictive modeling, and advanced phenotyping.
• Lead analytic strategy and perform hands-on programming for 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 analysts and data engineers to ensure accuracy, reproducibility, and regulatory readiness.
• Lead and oversee development of study protocols, reports, regulatory deliverables, conference presentations, and peer-reviewed manuscripts.
• Communicate study designs and results to regulatory and reimbursement agencies, explaining analytical methods in clear, clinically meaningful terms.
• Mentor other scientists on dataset selection, study design, and presentation of results.
• Maintain current knowledge of the coronary and peripheral vascular clinical landscape, emerging evidence, guidelines, competitive technologies, and unmet needs.
• Apply clinical context to interpret real-world data, assess relevance to intended-use populations, and support regulatory and clinical decisions.
• Collaborate with biostatistics, clinical affairs, regulatory affairs, medical affairs, health economics, and R&D teams.
• Represent RWE and observational research perspectives in cross-functional teams and strategy discussions.
• Cultivate relationships with industry key opinion leaders, academic researchers, data vendors, and clinical experts as appropriate.

Benefits

• Career development with an international company.
• Employees can qualify for free medical coverage in the Health Investment Plan (HIP) PPO medical plan in the next calendar year.
• Retirement savings plan with high employer contribution.
• Tuition reimbursement.
• Freedom 2 Save student debt program.
• FreeU education benefit, an affordable and convenient path to a bachelor's degree.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior