Senior Director, Real World Data & Analytics at Jobgether – United States

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Director, Real World Data & Analytics in United States.

This is a senior leadership role at the intersection of real-world evidence generation, advanced analytics, and oncology drug development. The position is responsible for shaping and scaling a newly established RWD & Analytics function, with significant strategic influence across clinical development, medical affairs, safety, and commercial teams. You will define the vision and operating model for real-world data usage across the organization, ensuring it directly informs decision-making throughout the product lifecycle. The role combines scientific leadership with hands-on oversight of complex studies, including epidemiology, comparative effectiveness, and post-approval safety research. You will collaborate closely with cross-functional stakeholders and external partners to maximize the value of real-world data assets. This is a highly visible position offering the opportunity to directly impact evidence generation strategies in a fast-paced, innovation-driven environment focused on improving outcomes for patients with serious diseases.

You will be responsible for defining and executing the overall real-world data and analytics strategy, ensuring alignment with clinical, regulatory, medical affairs, and commercial objectives. You will oversee the design and delivery of high-quality real-world evidence studies and ensure methodological rigor across all analytics initiatives.

• Develop and lead the end-to-end RWD and analytics strategy supporting portfolio development, medical affairs, and evidence generation priorities
• Oversee study design, protocol development, statistical analysis planning, execution, and reporting for real-world evidence initiatives
• Evaluate and select appropriate real-world data sources, ensuring proper understanding of their strengths, limitations, and applicability
• Ensure compliance with global regulatory standards for non-interventional and observational studies
• Lead advanced analytics approaches, including causal inference, predictive modeling, and machine learning applications
• Translate complex analytical outputs into clear insights for senior leadership, regulators, payers, and scientific audiences
• Build, mentor, and scale a high-performing multidisciplinary team across epidemiology, biostatistics, and data science
• Establish governance frameworks, standards, and data infrastructure practices to enable scalable analytics capabilities across the organization

This role requires deep expertise in epidemiology, biostatistics, or a related quantitative scientific field, combined with extensive experience leading real-world data and evidence generation programs in the pharmaceutical or biotech industry. Strong technical and leadership capabilities are essential, along with the ability to operate in a highly matrixed environment.

• PhD, DrPH, DSc, or equivalent advanced degree in epidemiology, biostatistics, or related field with 12+ years of relevant experience
• Proven track record leading complex RWD/RWE studies from design through regulatory-grade execution and reporting
• Strong knowledge of real-world data sources such as claims, EHRs, registries, linked datasets, and multi-modal data types
• Expertise in statistical and analytical tools such as R, SAS, or Python
• Deep understanding of epidemiologic, biostatistical, and causal inference methodologies
• Experience in oncology, genomic medicine, or targeted therapies strongly preferred
• Demonstrated ability to communicate complex scientific insights to diverse senior stakeholders
• Strong leadership skills with experience managing teams and external vendors in a matrix environment
• Track record of scientific publications or presentations in epidemiology or real-world evidence is highly desirable

• Competitive base salary ranging from $244,000 to $305,000 USD, depending on experience and location
• Equity-based compensation and long-term incentive opportunities
• Comprehensive health, dental, and vision insurance coverage
• Strong focus on professional development, learning, and career growth
• Flexible working arrangements with hybrid or remote options (depending on location)
• Opportunity to contribute to cutting-edge oncology research with high patient impact
• Inclusive and equal opportunity work environment