Associate Director, Global Market Access Analytics, RWE

Responsibilities

• Design and conduct analyses that align to payer (e.g. CDA, NICE, HAS) and regulatory evidentiary requirements and fully leverage available data sources.
• Lead the design and execution of indirect treatment comparisons (e.g., MAIC, STC, NMA, ML-NMR), observational studies, and comparative effectiveness analyses.
• Provide expert guidance on statistical methodologies and programming approaches to address key research questions in collaboration with therapeutic area experts.
• Lead end-to-end delivery of evidence-generation work streams, including systematic literature reviews, feasibility assessments, protocol development, statistical analysis plans, and technical reports/publications.
• Apply advanced statistical methods such as regression modeling, mixed-effects models, survival analysis, propensity score methods, and non-parametric techniques in accordance with study protocols.
• Partner across internal functions (e.g., Global Market Access, R&D, Medical Affairs, Health Economics Modeling, Epidemiology) to develop evidence generation strategies that optimize HTA outcomes.
• Engage and collaborate with external partners, providing scientific and technical input to support joint research initiatives.

• Advanced degree (Master’s or higher) in a relevant field such as biostatistics, mathematics, computational sciences, economics, public health, health administration, or operations research.
• Minimum of 6+ years of relevant experience (or 4+ years with a doctoral degree) in pharmaceutical, biotech, or consulting environments.
• Demonstrated proficiency in statistical programming, including R, SAS, and other relevant tools.
• Ability to design and apply statistical methods for comparative effectiveness research, including indirect treatment comparisons and secondary data analyses.
• Hands‑on experience analyzing diverse data sources, including clinical trial data, data extracted in systematic literature reviews, administrative claims, electronic health records, and clinical registries.
• Strong organizational skills and ability to manage multiple priorities in a fast‑paced environment, with a track record of meeting deadlines.
• Effective project management capabilities, including planning, prioritization, and execution across concurrent work streams.
• Excellent written and verbal communication skills, with the ability to convey complex technical information to diverse audiences.

• statistical programming
• regression modeling
• mixed‑effects models
• survival analysis
• propensity score methods
• non‑parametric techniques
• comparative effectiveness research
• indirect treatment comparisons
• data analysis
• systematic literature reviews

• organizational skills
• project management
• communication skills
• collaboration
• ability to manage multiple priorities
• execution capabilities
• planning
• prioritization
• track record of meeting deadlines
• ability to convey complex information