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Johnson & Johnson

Associate Director, HEMA Analytics, RWE

Johnson & Johnson

Advanced analytics role developing infrastructure and conducting health economics research at Johnson & Johnson. Involved in real-world evidence studies and cross-functional partnerships in healthcare.

Posted 7/8/2026full-timeFlorida, Massachusetts, New Jersey, Pennsylvania • 🇺🇸 United StatesLeadWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing and maintaining analytics infrastructure and conducting advanced statistical analyses to support evidence-based decision-making in the healthcare sector. Proficient in study design and execution, ensuring compliance with regulatory and ethical standards.

Highest-signal resume keywords
Advanced Statistical AnalysisReal-World Evidence StudiesProficiency in SAS, R, PythonStudy Design CapabilitiesMaster's Degree or PhD in Epidemiology or Related Field

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Statistical AnalysisPredictive ModelingData Pipeline DevelopmentAnalytic Code LibrariesComparative Effectiveness ResearchOutcomes ResearchBurden-of-Illness StudiesUtilization AnalysisReimbursement AnalysisStandardized Research Workflows
Soft Skills
Excellent Communication Skills
Tools & Technologies
Claims DatabasesElectronic Health RecordsBilling DatabasesRegistries
Industry Keywords
Health AnalyticsMedical DeviceMedTechPharmaceutical IndustryHIPAA Compliance

Tech Stack

Tools & technologies
Python

About the role

Key responsibilities & impact
  • Develop and maintain HEMA analytics infrastructure, dashboards, and reporting tools to support evidence-based decision-making across the organization
  • Conduct advanced statistical analyses including comparative effectiveness, outcomes research, burden-of-illness studies, predictive modeling, and utilization and reimbursement analyses
  • Build and maintain standardized analytic code libraries, data pipelines, and reproducible research workflows
  • Design and execute real-world evidence studies using claims and billing databases, registries, electronic health records, and other secondary data sources to support the Orthopaedics portfolio
  • Lead end-to-end study management including protocol development, IRB/ethics submissions, data acquisition, analysis, reporting and manuscript drafting
  • Ensure all studies comply with relevant regulatory, ethical, and data privacy standards including HIPAA

Requirements

What you’ll need
  • Master's degree or PhD in Epidemiology, Biostatistics, Health Services Research, Health Economics, or related quantitative field
  • 6+ years of experience in RWE, outcomes research, or health analytics within the medical device, MedTech, or pharmaceutical industry
  • Hands-on experience with claims databases (e.g., Medicare, MarketScan, Optum)
  • Proficiency in SAS, R, Python, or similar statistical software
  • Strong study design capabilities, including retrospective cohort, case-control, and quasi-experimental methods
  • Excellent communication skills with the ability to present complex data to non-technical audiences; publication track record preferred

Benefits

Comp & perks
  • Health insurance
  • Inclusion in a diverse workplace
  • Professional development opportunities