Description du poste
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.
This role might be for you if you can / have:
Lead
1) 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.
2) 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.
3) 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.
4) 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.
5) Lead communication of analytical outputs to VP-level and cross-functional commercial audiences, translating complex model results into clear, actionable business implications.
Develop
6) Develop structured data pipelines and analytics-ready datasets supporting portfolio and indication-level advanced analytics using SQL, Python/PySpark, or equivalent tools.
7) Develop analytical frameworks that address priority commercial business questions using syndicated pharmaceutical data assets including IQVIA NPA, DDD, APLD, and CRM data.
8) 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.
9) Develop and apply AI, machine learning, and data science methodologies to enhance the depth, scalability, and commercial impact of marketing and sales analytics deliverables.
Partnership and Collaboration
10) 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.
11) 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.
12) Partner with Immunology commercial stakeholders across Marketing, Sales, Finance, and Market Access to translate analytical outputs into strategic and tactical decisions.
13) Collaborate with Data Management and platform teams to ensure analytics infrastructure supports current and future use cases across the Immunology portfolio.
14) Ensure compliance with privacy, regulatory, and legal requirements across all analytical workstreams and data assets.
Execute
15) Execute indication-level and cross-portfolio analytics including MMM readout cycles, promotional sensitivity analyses, HCP targeting models, and search/media ROI assessments.
16) Execute rigorous data analysis using SQL, Python/PySpark, R, or equivalent tools within Databricks or Snowflake environments.
17) Measure and track promotional performance against success metrics across indications; develop insights that guide investment optimization and course correction.
To be considered for this opportunity, you must have the following:
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.
Does this sound like you? Apply now to take your first step towards living the Regeneron Way! We have an inclusive culture that provides comprehensive benefits, which vary by location. In the U.S., benefits may include 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, and paid leaves (e.g., military and parental leave) for eligible employees at all levels! For additional information about Regeneron benefits in the US, please visit https://careers.regeneron.com/en/working-at-regeneron/total-rewards/. For other countries’ specific benefits, please speak to your recruiter.
Please be advised that at Regeneron, we believe we are most successful and work best when we are together. For that reason, many of Regeneron’s roles are required to be performed on-site. Please speak with your recruiter and hiring manager for more information about Regeneron’s on-site policy and expectations for your role and your location.
Regeneron is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion or belief (or lack thereof), sex, nationality, national or ethnic origin, civil status, age, citizenship status, membership of the Traveler community, sexual orientation, disability, genetic information, familial status, marital or registered civil partnership status, pregnancy or parental status, gender identity, gender reassignment, military or veteran status, or any other protected characteristic in accordance with applicable laws and regulations. The Company will also provide reasonable accommodation to the known disabilities or chronic illnesses of an otherwise qualified applicant for employment, unless the accommodation would impose undue hardship on the operation of the Company's business.
For roles in which the hired candidate will be working in the U.S., the salary ranges provided are shown in accordance with U.S. law and apply to U.S.-based positions. For roles which will be based in Japan and/or Canada, the salary ranges are shown in accordance with the applicable local law and currency. If you are outside the U.S, Japan or Canada, please speak with your recruiter about salaries and benefits in your location.
Please note that certain background checks will form part of the recruitment process. Background checks will be conducted in accordance with the law of the country where the position is based, including the type of background checks conducted. The purpose of carrying out such checks is for Regeneron to verify certain information regarding a candidate prior to the commencement of employment such as identity, right to work, educational qualifications etc.
Salary Range (annually)