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Director, Health Economics & Outcome Research

Job in Cambridge, Dorchester County, Maryland, 21613, USA
Listing for: BioNTech IMFS
Full Time position
Listed on 2025-12-03
Job specializations:
  • Healthcare
    Data Scientist
  • Research/Development
    Data Scientist
Job Description & How to Apply Below

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Director, Health Economics & Outcome Research

New Jersey, US | full time | Job

Responsibilities:
  • Draft and execute value evidence generation plans for SLR, NMA/ITC, CEA/BIA, RWE and PRO SAP to inform clinical development decisions and value evidence for the molecules across all stages of drug development.
  • Conduct global epidemiology targeted literature reviews to inform multi-regional clinical trial site selection and recruitment.
  • Stay abreast of industry trends and emerging evidence synthesis methodologies, ensuring that the organization remains at the forefront of methodological advancements.
  • Collaborate and elicit input from key opinion leaders including medical experts, including in structured settings (e.g., Delphi panel, advisory boards).
  • Advise and implement the FDA Guidance such as Guidance for Industry Patient-Reported Outcome Measures:
    Use in Medical Product Development to Support Labeling Claims and other relevant PRO and PFDD developments where applicable in the clinical programs.
  • Develop and communicate findings in regulatory-grade documents (i.e., FDA briefing books - multi-regional clinical trial/DAP, Pediatric Investigation Plan).
  • Oversee the development and implementation of robust evidence synthesis plans to support global launches and reimbursement dossiers in key HTA (e.g., JCA dossiers) and non-HTA markets.
  • Advance BioNTech’s US/Global Pharmaceutical launch activities, specifically:
    • Pre-Approval Dossier and Pre-Approval Information Exchange with population health decision makers
    • Launch models (CEA/BIA) and associated tools and dossier development
    • Provide training and develop relevant Health Care Economic Information (HCEI) materials to support field teams-US Account Management, Medical Science Liaisons and HEOR Field based
  • Support other HEOR team members by reviewing their evidence generation plans, publication review and offering constructive, solution-oriented feedback.
  • Serve as subject matter expert for cross-functional teams in HEOR.
  • Mentor HEOR fellow(s) and early career HEOR team members.
Requirements:

Education Required

  • MS required, Doctoral degree (PhD/Pharm

    D/MD) preferred in related field and experience conducting HEOR (Related fields include Public Health-Health Policy & Management/Health Services Research/Epidemiology/Outcomes Research/Health Economics, Economics/Econometrics, Psychometrics, Statistics/Biostatistics, Pharmacoeconomics/Pharmacy Administration)
  • At least 5 years of relevant experience in related field OR a Master’s degree in related field, and at least 10 years of such relevant experience

Experience Required

  • A solid understanding of Systematic Literature Reviews (SLR) methodology, Indirect Treatment Comparisons (ITC, including network meta-analysis [NMA], matching adjusted indirect comparisons [e.g.: MAIC/STC]) with ability to critically evaluate-improve study design and data sources used across various types of HEOR research
  • A deep understanding of Global Cost Effectiveness Analysis/Budget Impact Analysis (CEA/BIA) models-US and Ex-US, with ability to critically evaluate-improve study design and data sources used across various types of HEOR research.
  • A solid understanding of RWE research designs (US-Komodo, Optum, Market Scan, Pharmetrics Plus, and/or Medicare RIF, Ex-US: NCRAS, SNDS, Other EU real world data sources and registries) with ability to critically evaluate-improve study design and data sources used across various types of HEOR research.
  • Experience with eCOA implementation preferred, including but not limited to eCOA vendor identification, qualification and technical supervision
  • Experience with developing meeting requests/briefing books to support FDA COA Type C meetings. Regulatory understanding and experience in negotiating PRO label claims is preferred.
  • A track record of peer-reviewed scientific publications demonstrating expertise in HEOR across Real-World Evidence, Cost-Effectiveness Analysis/Budget Impact Analysis models, PRO development & analytics and SLR/NMA/ITC.
  • Successfully developed/has a deep knowledge of/exposure to compliant HEOR tools for US population…
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