9 дней назад
Director HTA Statistics & RWE Methods
127 500 - 219 305€
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Director HTA Statistics & RWE Methods (Health Technology Assessment/Real-World Evidence): Providing strategic and technical leadership for data generation initiatives across innovative medicines, including indirect treatment comparisons, post hoc trial analyses, and real-world evidence, with an accent on clinical trial design, causal inference, and payer/HTA requirements. Focus on designing advanced statistical analyses, validating surrogate endpoints, governing methodological consistency, and scaling coding libraries and AI/ML analytics platforms.
Location: Beerse, Belgium; Horsham, Pennsylvania, United States; or Raritan, New Jersey, United States
Salary: €127,500–€219,305 annually in the primary posting location; US base pay range: $164,000–$282,900 annually.
Company
Johnson & Johnson develops innovative medicines and MedTech solutions across the healthcare spectrum.
What you will do
- Provide strategic and technical leadership for data generation initiatives across the innovative medicines portfolio.
- Lead dataset feasibility and selection, protocol development, study design, and results dissemination for indirect treatment comparisons, post hoc trial analyses, and real-world evidence studies.
- Design advanced statistical analyses aligned with payer and HTA expectations, including causal inference, indirect treatment comparisons, and surrogate endpoint validation.
- Serve as a key reviewer for the Global RWE Methods Review Board and ensure methodological consistency across programs.
- Review external case studies and precedents to shape internal evidence-generation strategies.
- Build team capabilities through training, coding libraries, and scalable AI/ML analytics platforms.
Requirements
- Postgraduate degree in Biostatistics, Epidemiology, Data Science, Health Economics, or a related field.
- At least 8 years of relevant experience in pharmaceutical, biotech, or consulting environments.
- Advanced statistical methodology experience in payer/HTA evidence generation, including indirect treatment comparisons and real-world evidence.
- Deep knowledge of clinical trial design and secondary data sources such as claims, EMR, registries, and surveys.
- Strong understanding of regulatory, payer, HTA, and methodological frameworks.
- Hands-on proficiency in SAS and R, with the ability to organize work into project plans with milestones, deliverables, and resources.
Nice to have
- PhD, PharmD, or MD.
- Experience with AI/ML advanced analytics, coding libraries, or analytics platforms.
Culture & Benefits
- Inclusive work environment focused on individual dignity, diversity, and recognition.
- Annual bonus based on pay grade, location, and company and employee performance.
- Vacation, parental leave of at least 12 weeks, bereavement leave, caregiver leave, and volunteer leave.
- Well-being reimbursement and programs supporting financial, physical, and mental health.
- Insurance plans, service anniversary awards, and recognition awards subject to applicable plan terms.
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