Associate Director, MedTech Epidemiology, Real-World Data Sciences

Johnson & Johnson

Associate Director in MedTech leading innovative epidemiology research for cardiovascular products at Johnson & Johnson. Utilizing big data analytics to inform medical decision-making and improve patient care.

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 and statistical methodologies, with a strong ability to synthesize evidence for medical decision-making. Proficient in authoring protocols, publications, and presentations, while collaborating across cross-functional teams in the healthcare sector.

Highest-signal resume keywords

PhD In BiostatisticsEpidemiology ExperienceStatistical AnalysisReal-World Evidence (RWE)Cross-Functional Partnering

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Observational Database AnalysisQuantitative Data AnalysisAnalytical MethodologyStudy Proposal WritingProtocol AuthoringPeer-Reviewed PublicationPresentation Skills

Soft Skills

CollaborationCommunication

Tools & Technologies

Healthcare DatabasesRegistries

Industry Keywords

Health EconomicsMarket AccessMedTechCardiovascularConsultingPharmaceutical IndustryMedical Device Industry

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.

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 insurance
dental insurance
vision insurance
life insurance
short- and long-term disability
business accident insurance
group legal insurance
pension plan
401(k)
vacation – up to 120 hours per calendar year
sick time - up to 40 hours per calendar year
holiday pay – up to 13 days per calendar year
personal and family time - up to 40 hours per calendar year