Associate Director, Market Access Data Science & Analytics

At Bayer we’re visionaries, driven to solve the world’s toughest challenges and striving for a world where ‘Health for all Hunger for none’ is no longer a dream, but a real possibility. We’re doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining ‘impossible’. There are so many reasons to join us.

If you’re hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there’s only one choice.

The Associate Director, Market Access Data Science & Analytics, part of Bayer’s Commercial Data Solutions team for US Market Access, conducts in‑depth analysis of sales, patient engagement, payer and operations data. Collaborating with Insights & Analytics, Market Access, and Patient Services teams, they help guide business decisions that improve both financial results and patient outcomes across the portfolio.

The position has the primary ownership of market access data & analytics and is responsible for end‑to‑end processes driving business insights. Day‑to‑day responsibilities include:

• Understanding stakeholders’ key objectives, needs, and challenges
• Extracting valuable and actionable insights from datasets; identifying emerging trends
• Designing compelling stories within data that facilitate stakeholder decision‑making
• Proactively anticipating stakeholders’ needs
• Continuously looking for ways to measure and demonstrate business value
• Ensuring the data integrity is intact and trusted

The primary responsibilities of this role, Associate Director, Market Access Data Science & Analytics, are to:

• Leverage Market Access data expertise to understand strategic business priorities, develop overarching data strategy to address key business questions
• Design and implement practical data‑driven solutions to facilitate analysis of payer behaviour, specialty pharmacy dynamics, and the patient journey
• Develop quantitative frameworks tailored to Market Access, including models analysing payer impact, formulary change effects, PA/SP restrictions, co‑pay dynamics, and analytics for affordability programs
• Apply advanced statistical techniques to quantify payer mix, payer behaviour shifts, rebate utilisation, SP adherence patterns, and patient journey frictions
• Build optimisation algorithms to support contracting strategy, copay programmes, distribution models, and affordability programmes
• Enable data‑driven decisions by aligning data sources to business needs, key questions, and ensuring their accessibility for analysis and reporting
• Aggregate data and perform analyses from various critical commercial data assets, including sales, syndicated claims, marketing, patient services, and HP‑PBM invoices to generate Market Access Insights
• Develop, standardise, and manage comprehensive business rule documentation from both technical and business perspectives
• Accountable to drive quality and stability of data for key business KPIs
• The location for this role is Whippany, NJ. Candidates not currently commutable to the Whippany, NJ must be willing/able to relocate to the area as a remote with travel arrangement will not be accommodated. Relocation assistance will be offered.

Bayer seeks an incumbent who possesses the following:

• A minimum of a Bachelor’s degree combined with over 10 years of relevant experience is required
• Extensive experience in US pharma industry, with deep hands‑on expertise in market access data and analytics
• Strong hands‑on experience with commercial pharmaceutical data, including SP/SD/sales datasets, syndicated claims, access data such as DRG and MMIT, patient service platforms like Relay Health, Blink Rx, Cover My Meds , Connective Rx, as well as formulary and related datasets
• Expertise to developing analytics pipelines (Python/SQL/Snowflake) for ingestion, transformation, modelling, and visualisation
• Developed analytic models for payer behaviour shifts, rebate utilisation, patient journey frictions, and SP adherence…