BioNTech SE logo

Director, Health Economics & Outcome Research

BioNTech SE
On-site
Cambridge, MA
$210,000 - $240,000 USD yearly
Market Access

Role Summary

Director, Health Economics & Outcome Research based in New Jersey, responsible for leading value evidence generation programs, advising on regulatory PRO approaches, and supporting global launches and HTA submissions across the product portfolio.

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 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 FDA Guidance and other relevant PRO and PFDD developments where applicable in the clinical programs.
  • Develop and communicate findings in regulatory-grade documents (e.g., FDA briefing books for multi-regional trials, 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 BioNTechโ€™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 dossier development; Provide training and develop HCEI materials to support field teams.
  • Support other HEOR team members by reviewing their evidence generation plans, publication reviews and offering constructive feedback.
  • Serve as subject matter expert for cross-functional teams in HEOR.
  • Mentor HEOR fellow(s) and early career HEOR team members.

Qualifications

  • Required: MS degree; Doctoral degree (PhD/PharmD/MD) preferred in a related field (Public Health-Health Policy & Management/Health Services Research/Epidemiology/Outcomes Research/Health Economics/Economics/Econometrics/Psychometrics/Statistics/Biostatistics/Pharmacoeconomics) or equivalent experience.
  • At least 5 years of relevant experience in related field, or 10 years with a Masterโ€™s degree in related field.

Experience

  • A solid understanding of Systematic Literature Reviews (SLR) methodology, Indirect Treatment Comparisons (ITC) including network meta-analysis (NMA) and matching-adjusted indirect comparisons (MAIC/STC).
  • Deep understanding of Global Cost Effectiveness Analysis/Budget Impact Analysis (CEA/BIA) models (US and Ex-US) with ability to evaluate study design and data sources.
  • Solid understanding of Real-World Evidence (RWE) research designs (e.g., US: Komodo, Optum, MarketScan, Pharmetrics Plus, Medicare RIF; Ex-US: NCRAS, SNDS, other EU data sources).
  • Experience with eCOA implementation preferred (vendor identification, qualification, and technical supervision).
  • Experience developing meeting requests/briefing books to support FDA COA Type C meetings; regulatory understanding and experience in negotiating PRO label claims is preferred.
  • Track record of peer-reviewed publications in HEOR across RWE, CEA/BIA, PRO development & analytics, SLR/NMA/ITC.
  • Knowledge of compliant HEOR tools for US population health decision makers/HCEI.
  • Understanding of current EU-HTA requirements including recent JCA implementation.
  • Good working knowledge of health care systems and HTA guidelines and processes in relevant countries.
  • Excellent communication skills with experience presenting HEOR research to payers and population health decision-makers.

Skills

  • HEOR strategy and project leadership
  • Evidence synthesis and economic modeling
  • Regulatory affairs and health technology assessment
  • Data interpretation and scientific communication
  • Mentorship and cross-functional collaboration

Education

  • MS degree required; PhD/PharmD/MD preferred in a related field as listed above.