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Abbott

Staff Scientist – Real World Evidence, Data Science

Abbott

. Define and execute long-term real-world evidence strategies across Abbott’s Vascular portfolio .

Posted 10/5/2026full-timeSanta Clara • California • United StatesLead💰 $114,000 - $228,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in real-world evidence strategies, health economics, and advanced data analysis using SQL, R, SAS, and Python. Proven ability to lead cross-functional teams, develop study protocols, and communicate findings to regulatory agencies.

Highest-signal resume keywords
Real-World Evidence StrategySQL ProgrammingHealth EconomicsEpidemiologic MethodsCross-Functional Collaboration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
SQLRSASPythonMachine LearningPredictive ModelingData AnalysisStudy Protocol DevelopmentStatistical AnalysisEpidemiology
Soft Skills
Excellent CommunicationMentoringProblem SolvingProject ManagementTeam Collaboration
Tools & Technologies
Electronic Health RecordsAdministrative Claims DataHospital Billing DataRegistriesData Governance Tools
Industry Keywords
Observational ResearchOutcomes ResearchCardiovascular TherapeuticsRegulatory ComplianceClinical Research

Tech Stack

Tools & technologies
PythonSQL

About the role

Key responsibilities & impact
  • Define and execute long-term real-world evidence strategies across Abbott’s Vascular portfolio
  • 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
  • Transform 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
  • Manage data preparation, cohort construction, variable derivation, and analysis across diverse data types
  • Ensure adherence to data governance and privacy requirements
  • Provide technical oversight of programming logic and validation
  • Develop RWE study protocols, reports, regulatory deliverables, conference presentations, and peer-reviewed manuscripts
  • Communicate study design and results to regulatory and reimbursement agencies
  • Mentor scientists on dataset selection, study design, and results presentation
  • Monitor clinical evidence, guidelines, competitive technologies, and unmet needs in coronary and peripheral vascular spaces
  • Collaborate with biostatistics, clinical affairs, regulatory affairs, medical affairs, health economics, and R&D teams
  • Cultivate relationships with academic researchers, data vendors, clinical experts, and key opinion leaders

Requirements

What you’ll need
  • Master’s degree preferred; required educational credential not explicitly stated
  • Minimum 9 years of related work experience
  • Comprehensive knowledge and application of business concepts, procedures, and practices
  • Ability to work in a quality system environment and comply with governmental regulations
  • In-depth evaluation of complex problems and data
  • PhD, DrPH, MS, or equivalent advanced degree in epidemiology, biostatistics, clinical research, public health, outcomes research, biomedical engineering, or a related discipline preferred
  • Experience in real-world evidence, observational research, outcomes research, or related analytical research roles
  • Hands-on experience with electronic health records, administrative claims data, hospital billing data, registries, or similar large healthcare datasets
  • Deep knowledge of observational study design and epidemiologic methods
  • Experience developing RWE study protocols, analysis plans, or study reports
  • Practical experience with SQL, R, SAS, Python, or similar statistical/analytical languages
  • Experience validating analytical datasets, programs, and study outputs
  • Experience developing study reports, abstracts, slide decks, and manuscripts
  • Familiarity with regulatory or methodological guidance relevant to RWE or observational studies
  • Background or interest in coronary, peripheral vascular, or related cardiovascular therapeutic areas
  • Ability to manage multiple projects or workstreams and deliver high-quality work under timelines
  • Excellent written and verbal communication skills
  • Proven ability to publish scientific manuscripts
  • Experience working in cross-functional team environments preferred

Benefits

Comp & perks
  • Career development with an international company
  • Free medical coverage through the Health Investment Plan (HIP) PPO medical plan for qualifying employees
  • Excellent retirement savings plan with high employer contribution
  • Tuition reimbursement
  • Freedom 2 Save student debt program
  • FreeU education benefit
  • Travel at 10% of the time