Director, Real-World Data & Epi Analytics (Hybrid)

Genmab

Princeton (NJ)

Hybrid

USD 231,000 - 347,000

Full time

14 days+

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Benefits offered by this job

401(k) match
Health benefits
Paid time off
Flexible work arrangement

Job summary

Genmab A/S is seeking a Director of Real World Data & Epidemiology Analytics to lead observational studies using diverse real-world data sources and to apply AI-driven analytics to inform clinical development and health-policy decisions.

You will collaborate with CORE asset leaders, mentor RWD & Epi scientists, and help define governance for study execution while scaling analytics infrastructure. Flexibility includes a hybrid work arrangement with on-site Princeton, NJ location.

Qualifications

  • Graduate degree in Epidemiology, Biostatistics, Public Health, or related field.
  • 10+ years of real-world evidence generation and epidemiology analytics experience.
  • Experience with observational study design and statistical methods (survival, regression, causal inference).
  • Hands-on programming with SAS, R, Python on claims/EHR data; familiarity with AI/ML frameworks.

Responsibilities

  • Design, execute, and report observational and epidemiologic studies.
  • Conduct feasibility analyses and data source selection for studies.
  • Lead survival and economic modeling to support HTA activities.
  • Present designs and results to technical and non-technical audiences.

Skills

Observational study design
Survival analysis
Statistical methods
SAS
R
Python
Communication skills
Leadership/mentoring

Education

Graduate degree in Epidemiology/Biostatistics/Public Health

Tools

SAS
R
Python

Job description

Genmab A/S is seeking a Director of Real World Data & Epidemiology Analytics to lead observational studies using diverse real-world data sources and to apply AI-driven analytics to inform clinical development and health-policy decisions.

You will collaborate with CORE asset leaders, mentor RWD & Epi scientists, and help define governance for study execution while scaling analytics infrastructure. Flexibility includes a hybrid work arrangement with on-site Princeton, NJ location.

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