Associate Director, Commercial Data Science - Immunology

Regeneron Pharmaceuticals • Sleepy Hollow, WY

1d • Onsite

About The Position

Regeneron is seeking an Associate Director, Commercial Data Science to join the Immunology Advanced Analytics team within CSI&A. This portfolio-level role supports multiple indications within the Immunology portfolio across a co-promote alliance. In collaboration with the Director, this individual will leverage data science, machine learning, and AI to drive marketing and sales execution effectiveness — owning end-to-end MMM delivery, advanced analytics workstreams, and an active mandate to evaluate and integrate AI capabilities into commercial workflows. In this role, a typical day might include: Reporting into the Director, Advanced Analytics – Immunology, this individual will serve as a primary day-to-day owner of deliverables while collaborating with the Director on strategic direction, stakeholder engagement, and prioritization. The role involves helping manage external vendor relationships, coordinating with alliance counterparts, and applying AI and data science capabilities to drive efficiency and innovation — all within a team culture of analytical rigor and continuous improvement.

Requirements

• Bachelor’s degree required; MBA/Master’s degree desired.
• MBA/Master’s degree and 7+ years of commercial analytics experience OR Bachelor’s degree and 10+ years of experience in pharmaceutical or biotech commercial analytics, data science, or a related field.
• Immunology or biologics experience preferred.
• Demonstrated hands-on expertise with structured pharmaceutical data assets, including syndicated datasets such as IQVIA, APLD, claims, or equivalent Rx data sources.
• Familiarity with omnichannel data assets and platforms supporting DTC and HCP engagement measurement, including media delivery, digital touchpoint, and clean room data sources (e.g., LiveRamp, Crossix, or equivalent).
• Proficiency in SQL and Python/PySpark or R within a cloud analytics environment (Databricks, Snowflake, or equivalent).
• Experience owning or significantly contributing to Marketing Mix Modeling (MMM) engagements — including full-cycle delivery from data validation through stakeholder readout and vendor coordination.
• Familiarity with analytics-ready data architecture, semantic layer concepts, and cloud-based data platform governance in a commercial pharma context.
• Experience with advanced analytics techniques including promotional response modeling, HCP targeting, attribution modeling, or Next Best Action (NBA) frameworks.
• Demonstrated experience with AI and machine learning methodologies and their application to commercial analytics use cases; experience integrating AI tools, predictive models, or automation into marketing and sales analytics workflows required.
• Ability to translate complex analytical outputs into clear business implications for marketing, sales, and senior leadership audiences.
• Strong communication, presentation, and data storytelling skills with demonstrated ability to influence across functions and seniority levels.
• Proven success managing multiple concurrent analytical workstreams and external vendor relationships in a fast-paced, deadline-driven environment.
• Experience working within or alongside an alliance or co-promote structure preferred.

Responsibilities

• Own end-to-end delivery of Marketing Mix Modeling (MMM) across multiple indications within the Immunology portfolio — including data validation, KBQ alignment with marketing stakeholders, high-level readouts, media deep dives, alliance model coordination, and sales leader presentations — in collaboration with the Director.
• Contribute to the ongoing standardization and continuous improvement of the MMM process, partnering with external modeling and media agency partners to support a repeatable, scalable workflow.
• Lead advanced analytics workstreams — including promotional response modeling, HCP targeting, Next Best Action (NBA), and attribution/referral modeling — leveraging data science and machine learning techniques to drive marketing and sales execution effectiveness across the Immunology portfolio.
• Lead the evaluation and integration of AI and data science capabilities into commercial analytics workstreams and deliverables, identifying opportunities to drive efficiency, analytical depth, and business value.
• Lead communication of analytical outputs to VP-level and cross-functional commercial audiences, translating complex model results into clear, actionable business implications.
• Develop structured data pipelines and analytics-ready datasets supporting portfolio and indication-level advanced analytics using SQL, Python/PySpark, or equivalent tools.
• Develop analytical frameworks that address priority commercial business questions using syndicated pharmaceutical data assets including IQVIA NPA, DDD, APLD, and CRM data.
• Contribute to analytics-ready dataset governance and semantic layer development within cloud-based data environments (Databricks, Snowflake), ensuring data assets are structured, validated, and fit for downstream use.
• Develop and apply AI, machine learning, and data science methodologies to enhance the depth, scalability, and commercial impact of marketing and sales analytics deliverables.
• Help manage external analytics vendor relationships — including modeling partners, media measurement vendors, and data collection partners — ensuring deliverables are accurate, timely, and aligned with business goals.
• Coordinate MMM and analytics deliverables with alliance counterparts at Sanofi, including side-by-side model comparisons and cross-partner alignment on methodology and business implications.
• Partner with Immunology commercial stakeholders across Marketing, Sales, Finance, and Market Access to translate analytical outputs into strategic and tactical decisions.
• Collaborate with Data Management and platform teams to ensure analytics infrastructure supports current and future use cases across the Immunology portfolio.
• Ensure compliance with privacy, regulatory, and legal requirements across all analytical workstreams and data assets.
• Execute indication-level and cross-portfolio analytics including MMM readout cycles, promotional sensitivity analyses, HCP targeting models, and search/media ROI assessments.
• Execute rigorous data analysis using SQL, Python/PySpark, R, or equivalent tools within Databricks or Snowflake environments.
• Measure and track promotional performance against success metrics across indications; develop insights that guide investment optimization and course correction.

Benefits

• health and wellness programs (including medical, dental, vision, life, and disability insurance)
• fitness centers
• 401(k) company match
• family support benefits
• equity awards
• annual bonuses
• paid time off
• paid leaves (e.g., military and parental leave)

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Number of Employees: 5,001-10,000 employees