Associate Director, Market Access Analytics - Neurology

In This Role, a Typical Day Might Include

Hands‑on analytics role transforming complex data assets and analytical tools into evidence‑based market access decisions across Payer & Provider/GPO, Contracting, and Pricing. Lead design, curation, and evaluation of market access data to sharpen payer/channel strategy, optimize provider/GPO contracting, and drive portfolio performance.
Role Responsibilities

Shape payer and channel strategy by synthesizing market, payer, and account‑level data for strategic positioning, coverage decisions, and channel optimization.
Drive payer segmentation and policy analytics across Commercial, Medicare Part B/D, Medicare Advantage, Managed Medicaid, FFS Medicaid, VA/DoD, and Exchange.
Build cross‑functional relationships (Market Access Strategy, Payer Account teams, GPO Account Directors, Brand colleagues) and translate findings into recommendations for senior leadership.
Identify emerging analytics opportunities; advance measurement frameworks for pre‑/post‑performance across Payer and GPO initiatives.
Deliver provider and GPO analytics (account‑ and segment‑level opportunity assessments and pull‑through analysis).
Serve as day‑to‑day analytics partner to Market Access Strategy, HEOR, Pricing, Trade, GPO, and Field Reimbursement; scope questions, execute analyses, and deliver on time.
Lead performance reporting; triangulate across datasets; manage analytics vendor workstreams.
Apply Regeneron proprietary Market Access semantic layer to third‑party data (payer medical policy, patient‑level claims, reimbursement data).
Qualifications

Minimum 10 years pharmaceutical/biotech commercial experience (or 7+ years with MBA/MS) with increasing accountability; market‑leading brand experience desired.
BS/BA in STEM (Statistics, Econometrics, Mathematics, Business Analytics); advanced degree preferred.
Proficiency with MMIT, IQVIA LAAD/DDD/Xponent, Remittance, Model N, Integrichain 852/867, Patient HUB; working knowledge of payer spine bridge files and account hierarchy.
Coding experience in Python, R and/or SQL.
Experience with data visualization/BI tools (e.g., Dataiku, Databricks, PowerBI, Tableau, QlikView, Oracle BI, Microstrategy, Cognos, Spotfire).
Expertise in data visualization and data storytelling.
Advanced Excel and PowerPoint.
Data mining, descriptive analytics, statistical methods, analysis/modeling, predictive modeling, opportunity assessment/quantification.
Track record managing multiple vendors/project teams under tight deadlines.
Strong communication/influencing; concise written/verbal communication.

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