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About the CompanyGenmab is an international biotechnology company focused on developing innovative antibody therapeutics for cancer and other serious diseases. Genmab combines science, translational research, quantitative and data sciences, and innovative antibody technology platforms to advance medicines that can improve patients’ lives.About the RoleThe Director, Real-World Data & Epidemiology (RWD & Epi) Analytics will lead the design, execution, analysis, and communication of observational and epidemiologic studies using diverse real-world data sources. Reporting to the Head of RWD & Epi Analytics within the Center for Outcomes Research, Real World Evidence and Epidemiology (CORE), this role combines strategic leadership, advanced observational research expertise, analytic infrastructure development, and AI-driven analytics.The Director will partner with cross-functional teams to generate evidence supporting clinical development, market access, health technology assessment, and health-policy decisions. The role also provides technical leadership and mentorship to RWD & Epi scientists and programmers.Key ResponsibilitiesCollaborate with CORE asset leaders to design, execute, and report observational and epidemiologic studies supporting assigned assets and indications.Conduct feasibility assessments and identify appropriate real-world data sources, including claims, EHR, registries, and patient-generated data.Provide RWE and epidemiology methods guidance from feasibility and protocol development through analysis and final reporting.Collaborate on survival and economic modeling to support health technology assessment (HTA) activities.Manage study execution activities including table shells, analytic data files, analysis plans, programming, statistical methods, and quality control.Apply regulatory and scientific standards throughout study execution and reporting.Present study designs, interim analyses, and final results to technical and non-technical audiences.Translate complex analytical findings into actionable insights for clinical, commercial, and strategic decision-making.Evaluate emerging data modalities, including claims, EHR, social determinants of health, genomics, biomarkers, and clinical notes.Lead pilots and scale successful AI applications within routine RWD and epidemiology analytics.Partner with CORE asset leaders to define evidence needs, establish realistic timelines, and manage stakeholder expectations.Mentor and coach RWD & Epi scientists and programmers in study methodology, programming, and critical thinking.Define and implement standardized processes and governance for study execution, data management, and documentation.Help evolve and scale data and analytics infrastructure in partnership with DD&AI.Support streamlined analytics pipelines, reproducibility, data security, and compliance.Contribute to CORE department strategy, objectives, and key organizational initiatives.Required QualificationsGraduate degree (PhD or Master’s) in Epidemiology, Biostatistics, Public Health, or a related field.10+ years of experience in real-world evidence generation and epidemiology analytics.Demonstrated expertise in observational study design and statistical methods.Experience with survival analysis/modeling, regression analysis, IPTW, MAIC, causal inference, and related epidemiologic methods.Demonstrated experience evaluating and analyzing real-world data.Hands-on statistical programming experience using SAS, R, or Python.Experience working with real-world claims and/or EHR data.Experience with AI/ML frameworks.Strong communication and presentation skills.Strong stakeholder-management skills.Ability to work effectively in cross-functional teams and independently with limited supervision.Ability to work successfully under pressure in a fast-paced environment with tight timelines.Proactive, enthusiastic, and goal-oriented approach.Preferred QualificationsOncology experience.Strong commercial and clinical strategic mindset.Demonstrated research accomplishments through a history of peer-reviewed publications.Skills & CompetenciesReal-World Evidence (RWE)Real-World Data (RWD)EpidemiologyObservational Study DesignBiostatisticsSurvival Analysis and ModelingRegression AnalysisInverse Probability of Treatment Weighting (IPTW)Matching-Adjusted Indirect Comparison (MAIC)Causal InferenceStatistical ProgrammingSASRPythonAI/ML AnalyticsClaims DataElectronic Health Records (EHR)Health Technology Assessment (HTA)Economic ModelingData AnalysisEvidence GenerationStudy ProgrammingQuality ControlData ManagementAnalytics InfrastructureData GovernanceData Security and ComplianceScientific CommunicationPresentationStakeholder ManagementCross-Functional CollaborationTechnical LeadershipMentoring and CoachingStrategic ThinkingEducation & ExperienceEducation:PhD or Master’s degree in Epidemiology, Biostatistics, Public Health, or a related field.Experience:10+ years of experience in real-world evidence generation and epidemiology analytics.Demonstrated experience in observational study design, statistical methods, RWD evaluation, and statistical programming.Experience with real-world claims/EHR data and AI/ML frameworks.Work Arrangement & ScheduleLocation: Princeton, New Jersey, United StatesPrimary Work Arrangement: OnsiteFlexibility: The role permits working away from the office for 20%–40% of a typical schedule.Remote/away-from-office days may be taken as single days or multiple consecutive days, provided they do not exceed 40% within a 60-day period and are approved by the hiring manager.Employment Type: Regular full-time U.S. employees are referenced in the benefits information; the source does not separately state the employment type for this specific position.Weekend Requirements: Not specified.Compensation & BenefitsProposed U.S. Salary Range: $231,280.00–$346,920.00Actual compensation will consider factors including skills, qualifications, experience, and location. Certain positions may also be eligible for discretionary bonuses and long-term incentives.Eligible regular full-time U.S. employees may receive:401(k) plan with 100% company match on the first 6% of contributions.Medical, dental, and vision insurance, including an HDHP with HSA option.Voluntary critical illness, accident, and hospital indemnity insurance.Paid vacation, sick leave, and holidays.12 weeks of discretionary paid parental leave.Child and adult backup care and family support programs.Financial wellness tools and emotional well-being support.Commuter benefits.Tuition reimbursement.Lifestyle Spending Account for wellness and personal expenses.Eligibility for compensation and benefits may vary by role and will be provided during the recruitment process.Compliance / Additional InformationGenmab is committed to protecting applicant personal data and privacy. Candidates should review Genmab’s Job Applicant Privacy Notice for information regarding personal data processing during the application process.For positions in the Netherlands, Genmab notes that permanently budgeted hires are initially offered a one-year fixed-term employment contract. Subject to performance and business conditions, renewal for an indefinite term may be considered after the fixed-term contract.Equal OpportunityGenmab is committed to creating an inclusive workplace where individual contributions are valued and employees can work collaboratively toward innovative solutions that improve patients’ lives. The company promotes a workplace culture grounded in collaboration, authenticity, science, and respect.