Director HTA Statistics – RWE Methods

Johnson & Johnson

Lead statistical design and analysis for market access strategies at Johnson & Johnson. Engage in complex data generation initiatives across the Global Commercial Strategy Organization.

Posted 7/16/2026full-timeBeerse • 🇧🇪 BelgiumLead💰 €127,500 - €219,305 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Expertise in advanced statistical methodologies and clinical trial design, with a strong focus on Payer/HTA requirements and evidence generation. Proficient in statistical programming and capable of leading training initiatives and developing analytical platforms.

Highest-signal resume keywords

Postgraduate Degree (MSc, PhD) in Biostatistics, Epidemiology, Data Science, or Health EconomicsAdvanced Statistical Methodologies for Payer/HTA Evidence GenerationClinical Trial Design and Secondary Data Sources ExpertiseStatistical Programming (SAS, R)Regulatory and Payer/HTA Frameworks Understanding

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Advanced Statistical MethodologiesClinical Trial DesignIndirect Treatment ComparisonsCausal Inference MethodsSurrogate Endpoint ValidationsStatistical ProgrammingData ScienceHealth EconomicsEpidemiologyEvidence Generation

Tools & Technologies

AI/ML Advanced AnalyticsCoding Libraries

Industry Keywords

PharmaceuticalBiotechConsultingPayer/HTARegulatory RequirementsMarket AccessGovernanceMethodological ConsistencyCapability BuildingTraining

About the role

Key responsibilities & impact

Maintain deep expertise in evolving methodologies, including proactive awareness of regulatory, Payer/HTA, and guideline/formulary evidentiary requirements.
Review, synthesize, and disseminate external case studies and precedents to shape internal strategy and analyses.
Act as key reviewer for the Global RWE Methods Review Board, ensuring robust governance and methodological consistency across programs.
Lead the design of advanced study designs and statistical analyses aligned with Payer/HTA expectations (e.g., indirect treatment comparisons, causal inference methods, surrogate endpoint validations, etc.) to support market access and launch strategies for key assets.
Provide key contributions to capability building, including training for team on Payer/HTA requirements and new methodologies and also in the development of coding libraries and AI/ML advanced analytics scaling and platforms, etc.

Requirements

What you’ll need

Postgraduate degree (MSc, PhD) in Biostatistics, Epidemiology, Data Science, Health Economics, or related field
Minimum 8 years of relevant experience in pharmaceutical, biotech, or consulting environments
Demonstrated experience in advanced statistical methodologies relevant for Payer/HTA evidence generation including indirect treatment comparisons and RWE.
Deep expertise in clinical trial design and the strengths and limitations of secondary data sources (claims, EMR, registries, surveys)
Advanced knowledge of statistical methodologies for market access, including indirect treatment comparisons and causal inference approaches
Strong understanding of methodological standards, regulatory and Payer/HTA frameworks and their application to evidence generation.
Hands-on proficiency in statistical programming (SAS, R; desirable)

Benefits

Comp & perks

an annual bonus with set target (% of pay) depending on pay grade / location, where the actual amount is based on the employees’ and companies’ performance of the previous calendar year, or sales commissions.
vacation days
parental leave for a minimum of 12 weeks
bereavement leave
caregiver leave
volunteer leave
well-being reimbursement
programs for financial, physical and mental health
service anniversary and recognition awards