Data Analyst

Genmab is an international biotechnology company focused on developing innovative antibody therapeutics for cancer and other serious diseases. The company combines scientific research, translational sciences, quantitative methods, and data-driven technologies to advance next-generation medicines.

About the Role

Genmab is seeking a Director, Real-World Data & Epidemiology (RWD & Epi) Analytics to lead the design, execution, and communication of observational studies using diverse real-world data sources. The role combines strategic leadership, advanced epidemiological expertise, real-world evidence generation, data infrastructure development, and AI-driven analytics. The successful candidate will generate evidence supporting clinical development, market access, health technology assessment, and health-policy decisions. The position reports to the Head of RWD & Epi Analytics within the Center for Outcomes Research, Real World Evidence and Epidemiology (CORE).

Responsibilities

• Design and execute observational and epidemiological studies across assigned assets and indications.
• Conduct feasibility assessments using claims, EHR, registries, and patient-generated data.
• Support survival and economic modeling for health technology assessment activities.
• Manage analysis plans, table shells, programming, statistical methods, and quality-control processes.
• Present study designs, interim analyses, and final findings to technical and non-technical stakeholders.
• Evaluate emerging data sources including social determinants of health, genomics, biomarkers, and clinical notes.
• Lead pilots and scale successful AI applications across RWD and epidemiology analytics.
• Define evidence requirements, timelines, and study expectations with cross-functional leaders.
• Mentor and coach RWD and Epi scientists and programmers.
• Establish standardized processes and governance for study execution and documentation.
• Help evolve data and analytics infrastructure to improve reproducibility, security, and compliance.
• Contribute to CORE strategy and represent the department on key initiatives.

Requirements

• Master's or PhD degree in Epidemiology, Biostatistics, Public Health, or a related discipline.
• 10+ years of experience in real-world evidence generation and epidemiology analytics.
• Expertise in observational study design and statistical methods.
• Experience with survival analysis, regression analysis, IPTW, MAIC, causal inference, and related methodologies.
• Hands-on experience with SAS, R, and/or Python using real-world claims and EHR data.
• Experience with AI/ML frameworks.
• Excellent communication, presentation, and stakeholder-management skills.
• Strong commercial and clinical strategic mindset.
• Demonstrated research accomplishments and peer-reviewed publications.
• Ability to work independently and effectively in cross-functional teams.
• Ability to manage tight timelines in a fast-paced environment.

Preferred Qualifications

• Oncology experience.
• Advanced experience in real-world evidence and epidemiological research.
• Experience implementing AI-driven analytics in healthcare data environments.
• Strong publication record in relevant scientific fields.

Schedule

The role offers flexibility to work away from the office for 20%–40% of a typical schedule, subject to company requirements and hiring-manager approval. Remote work may be taken as individual days or multiple consecutive days, provided it does not exceed 40% within a 60-day period.

Pay

$231,280–$346,920 annual salary range

Benefits

• 401(k) with 100% company match on the first 6% of contributions
• Medical plan options
• Dental and vision coverage
• Paid vacation, sick leave, and holidays
• 12 weeks of discretionary paid parental leave
• Family support and backup-care programs
• Financial wellness resources
• Commuter benefits
• Tuition reimbursement
• Lifestyle Spending Account
• Additional voluntary insurance options