Associate Director, HEMA Analytics, RWE

Johnson & Johnson

Associate Director for HEMA Analytics and RWE managing advanced analytics infrastructure and real-world evidence studies. Collaborating cross-functionally to drive evidence-based decision-making in Orthopaedics.

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

Tech Stack

Tools & technologies

PythonSQLTableau

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
Evaluate and recommend new data sources, analytics platforms, and methodological approaches to strengthen the organization's RWE capabilities
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
Apply rigorous epidemiological and biostatistical methods including retrospective cohort, case-control, interrupted time series, difference-in-differences, and propensity score matching approaches
Develop and validate real-world endpoints and outcome measures relevant to orthopedic procedures and technologies
Partner with cross functional stakeholders to identify evidence gaps and prioritize RWE projects aligned with business objectives and product lifecycle needs
Contribute to the development of integrated evidence plans that span clinical, economic, and humanistic outcomes across the portfolio
Support payer and HTA submissions with robust RWE and analytics deliverables, including evidence dossiers, systematic literature reviews, and indirect treatment comparisons
Manage relationships with external data vendors, academic collaborators, and contract research organizations
Author and contribute to peer-reviewed publications, congress presentations, white papers, and technical reports
Translate complex analytical findings into clear, compelling narratives for diverse audiences including commercial, medical, and executive stakeholders
Represent the organization at scientific conferences, advisory boards, and industry working groups
Ensure all studies comply with relevant regulatory, ethical, and data privacy standards including HIPAA
Maintain rigorous documentation standards and ensure reproducibility of all analyses
Mentor junior analysts, participate in peer reviews and contribute to the development and strategic direction of the RWE and analytics function within HEMA

Requirements

What you’ll need

Master's degree or PhD in Epidemiology, Biostatistics, Health Services Research, Health Economics, or related quantitative field
Deep knowledge of US healthcare delivery systems, and public and private insurance reimbursement structures
6+ years of experience in RWE, outcomes research, or health analytics within the medical device, MedTech, or pharmaceutical industry; or orthopaedics subject matter expertise (e.g., joint reconstruction, trauma, spine, sports medicine) preferred
Hands-on experience with claims databases (e.g., Medicare, MarketScan, Optum), and electronic health records
Proficiency in SAS, R, Python, or similar statistical software; SQL, and data visualization tools (e.g., Tableau, Power BI)
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
Demonstrated ability to manage multiple projects simultaneously with competing deadlines.

Benefits

Comp & perks

Travel up to 20%
Equal Opportunity Employer
Inclusive work environment

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Advanced Statistical AnalysisEpidemiological MethodsData Pipeline DevelopmentPredictive ModelingOutcome Measure ValidationReproducible Research WorkflowsData VisualizationProtocol DevelopmentIRB SubmissionsAnalytic Code Libraries

Soft Skills

Excellent Communication SkillsProject ManagementMentoringCollaborationPresentation Skills