Associate Director, MedTech Epidemiology, Real-World Data Sciences

Johnson & Johnson

Associate Director for MedTech Epidemiology and Real-World Data Sciences team at Johnson & Johnson. Leading observational database analysis and synthesis of evidence for medical decision-making.

Posted 7/15/2026full-timeRemote • California, New Jersey • 🇺🇸 United StatesSenior💰 $137,000 - $235,750 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in observational database analysis, statistical methodologies, and the synthesis of evidence to support medical decision-making in the MedTech Cardiovascular field. Proficient in data visualization, predictive analytics, and machine learning applications within healthcare.

Highest-signal resume keywords

PhD In BiostatisticsEpidemiology ExperienceStatistical AnalysisPeer-Reviewed PublicationsCross-Functional Partnering

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Observational Database AnalysisQuantitative Data AnalysisAnalytical MethodologyData VisualizationPredictive AnalyticsMachine Learning AlgorithmsProtocol AuthoringHealthcare Database KnowledgeEvidence SynthesisMethods Section Writing

Soft Skills

CollaborationCommunication

Industry Keywords

Real-World EvidenceHealth EconomicsMarket AccessCardiovascular Medical DevicesHealthcare RegistriesConsulting ExperiencePharmaceutical Industry Experience

About the role

Key responsibilities & impact

Lead and contribute to the design of observational database analysis, including authoring protocols and analysis plans in support of RWE needs for the MedTech Cardiovascular franchise.
Lead the synthesis of evidence from observational database analyses with other evidence to inform medical decision-making, including authoring publications and presentations.
Work closely with colleagues within the department and across the larger cross-sector Epidemiology function, health economics and market access (HEMA) function, clinical function, and other Cardiovascular medical device functions.
Implement new approaches for working with “big data” in healthcare.
Some tasks may include data visualization, predictive analytics and machine learning algorithms.

Requirements

What you’ll need

A Doctor of Philosophy (PhD) Degree or equivalent in biostatistics, health services & outcomes research, epidemiology or other healthcare-related field with a minimum 3 years of epidemiology or related professional research experience.
In-depth knowledge of healthcare databases, registries, statistical analysis, and other related analytical methodology is required
A sophisticated understanding and the ability to analyze and interpret quantitative data.
Experience with writing methods sections of study proposals and protocols is required.
Experience authoring peer-reviewed publications and presenting in national/international healthcare conferences using results from real-world datasets is required.
Experience in cross-functional partnering is required.
Consulting, pharmaceutical or medical device industry experience is preferred.

Benefits

Comp & perks

medical
dental
vision
life insurance
short- and long-term disability
business accident insurance
group legal insurance
consolidated retirement plan (pension)
savings plan (401(k))
Vacation – up to 120 hours per calendar year
Sick time - up to 40 hours per calendar year
Holiday pay, including Floating Holidays – up to 13 days per calendar year
Work, Personal and Family Time - up to 40 hours per calendar year