Director, Real World Data & Epidemiology (RWD & EPI) Analytics

At Genmab, we are dedicated to building extraordinary futures by developing antibody products and groundbreaking KYSO antibody medicines® that change lives and the future of cancer treatment and serious diseases. We strive to create, champion, and maintain a global workplace where individuals’ unique contributions are valued and drive innovative solutions to meet the needs of our patients, care partners, families, and employees.

About the role

The Director of Real-World Data & Epidemiology (RWD & Epi) Analytics will lead the design, execute, and communicate observational studies using diverse RWD sources. This role combines strategic leadership, deep technical expertise in observational study design and execution, data and analytic infrastructure development, and advanced AI-driven analytics to deliver evidence that informs clinical development, market access, and health-policy decisions. This position reports to the Head of RWD & Epi analytics at the Center for Outcomes Research, Real World Evidence and Epidemiology (CORE).

Responsibilities

• Collaborate with CORE asset leaders to design, execute, and report on observational and epidemiologic studies in support of assigned assets and indications—from feasibility analyses and protocol development, RWE/Epi methods advice, to data analysis and final reporting.
• Conduct feasibility assessments to match study objectives with optimal RWD sources (claims, EHR, registries, patient-generated data).
• Collaborate with CORE asset leaders to conduct survival and economic modeling to support HTA activities.
• Execute studies by managing table shells, analytic data file, analysis plan, programming, statistical methods, and quality control per regulatory and scientific standards.
• Present study designs, interim analyses, and final results to study teams, translating complex findings into actionable insights for both technical and non-technical audiences.
• Evaluate new and emerging data modalities (e.g., claims, EHR, social determinants of health, genomics, biomarkers, clinical notes) for study applicability and integrate them into the evidence-generation framework.
• Lead pilots and scale successful AI applications in routine RWD & Epi analytics.
• Partner with CORE asset leaders to define evidence needs, set realistic timelines, and manage expectations.
• Mentor and coach RWD & Epi scientists and programmers—fostering technical growth in study methods, programming skills, and critical thinking.
• Define and implement standardized processes and governance for study execution, data management, and documentation within the analytic environment.
• Evolve and scale the data and analytics infrastructure—partnering with DD&AI to streamline pipelines, ensure reproducibility, and maintain data security and compliance.
• As a member of the CORE team, contribute to department strategy and objectives as well as represent CORE on key initiatives.

Requirements

• Graduate (PhD or Masters) degree in Epidemiology, Biostatistics, Public Health, or related field.
• 10+ years’ experience in real-world evidence generation and epidemiology analytics.
• Demonstrated expertise in observational study design, statistical methods (survival analysis/modeling, regression analysis, IPTW, MAIC, causal inference, etc), and RWD evaluation.
• Hands-on proficiency in statistical programming (SAS, R, Python) on real-world claims/EHR data and AI/ML frameworks.
• Exceptional communication, presentation, and stakeholder-management skills.
• Oncology experience preferred.
• Strong commercial and clinical strategic mindset.
• Demonstrated research accomplishments as evidenced by a history of peer-reviewed publications.
• Ability to work well in a team and cross-functional environment, as well as work independently with limited supervision.
• Ability to work successfully under pressure in a fast-paced environment and with tight timelines.
• Proactive, enthusiastic, and goal-oriented.
• Strong oral and written communication skills.

Schedule

This role offers flexibility to work away from the office for 20%–40% of a typical schedule. Employees may use this work schedule in increments of single days or multiple consecutive days, provided it does not exceed 40% within a 60-day period, and is approved by the hiring manager.

Pay

The proposed salary band for this position is $231,280.00–$346,920.00. The actual salary offer will carefully consider a wide range of factors, including your skills, qualifications, experience, and location. Certain positions are eligible for additional forms of compensation, such as discretionary bonuses and long-term incentives.

Benefits

Within the first year, regular full-time U.S. employees are eligible for:

• 401(k) Plan: 100% match on the first 6% of contributions.
• Health Benefits: Two medical plan options (including HDHP with HSA), dental, and vision insurance.
• Voluntary Plans: Critical illness, accident, and hospital indemnity insurance.
• Time Off: Paid vacation, sick leave, holidays, and 12 weeks of discretionary paid parental leave.
• Support Resources: Access to child and adult backup care, family support programs, financial wellness tools, and emotional well-being support.
• Additional Perks: Commuter benefits, tuition reimbursement, and a Lifestyle Spending Account for wellness and personal expenses.

Further details on eligibility for compensation and benefits based on role will be provided during the recruitment process.