Associate Director, Data Science - Market Access

Sanofi • Cambridge, MA

3d

About The Position

Join the team transforming care for people with immune challenges, rare diseases, cancers, and neurological conditions. In Specialty Care, you’ll help deliver breakthrough treatments that bring hope to patients with some of the highest unmet needs. Join Sanofi in one of our US Market Access Shared Services functions and you can play a vital part in the performance of our entire business while helping to make an impact on millions around the world. Work collaboratively with matrix partners to manage the strategic attainment of product access and appropriate reimbursement at key customers by participating in and overseeing the negotiation process of financial terms, as well as documented terms and conditions, for assigned customers. About Sanofi: We’re an R&D-driven, AI-powered biopharma company committed to improving people’s lives and delivering compelling growth. Our deep understanding of the immune system – and innovative pipeline – enables us to invent medicines and vaccines that treat and protect millions of people around the world. Together, we chase the miracles of science to improve people’s lives.

Requirements

• 5+ years of experience in data science or advanced analytics within Pharmaceutical or Payer organizations
• 5+ years of hands-on experience building and deploying predictive models and machine learning solutions on large-scale datasets
• Demonstrated experience working with workflow orchestration tools (Dagster, Airflow, or similar) to productionize analytical models
• Proven track record of translating business problems into data science solutions that drive measurable outcomes
• Experience collaborating with data engineering teams and contributing to data pipeline development
• Advanced proficiency in Python or R for statistical modeling, machine learning, and data analysis
• Experience with ML frameworks (scikit-learn, TensorFlow, PyTorch, XGBoost, etc.) and predictive modeling techniques
• Hands-on experience with workflow orchestration platforms (Dagster, Airflow, Prefect, or similar)
• Proficiency in SQL for complex data manipulation and working with relational databases
• Expertise in data visualization tools (Tableau, Power BI, or similar) and creating executive-level dashboards
• Experience with cloud platforms (Kubernetes) and modern data stack technologies
• Strong foundation in statistical methods, experimental design, and A/B testing
• Understanding of MLOps principles and model deployment best practices
• Deep understanding of pharmaceutical market access, pricing strategies, and reimbursement dynamics
• Experience analyzing longitudinal patient data, claims data, and formulary datasets
• Working knowledge of the US healthcare system, payer landscape, and regulatory environment
• Familiarity with healthcare data standards (e.g., NDC, HCPCS, ICD codes, IQVIA)
• Exceptional problem-solving abilities with a structured, hypothesis-driven approach
• Strong communication skills with ability to translate complex technical concepts for non-technical stakeholders
• Proven ability to manage multiple analytical projects simultaneously and meet deadlines
• Collaborative mindset with experience working across data engineering, product management, and business teams
• Detail-oriented with strong organizational and project management capabilities
• Self-directed learner who stays current with emerging data science methodologies and technologies
• Ability to mentor and provide technical guidance to developers and junior analysts
• BA or BS Degree

Nice To Haves

• Advanced Degree

Responsibilities

• Design, develop, and deploy predictive models and analytical solutions using Dagster/Airflow and DBT workflows to drive data-informed market access and pricing decisions. Hands on experience with R and/or Python is required.
• Architect and maintain scalable datasets that integrate with existing data engineering infrastructure and support cross-functional analytical needs
• Create interactive dashboards and reports using business intelligence tools that translate complex data into actionable insights for stakeholders
• Perform advanced statistical analysis on patient longitudinal data and large customer datasets to identify trends, patterns, and strategic opportunities
• Develop and implement machine learning algorithms to enhance forecasting capabilities and predictive analytics across market access functions
• Collaborate closely with the data engineering team, SQL developers, and analytics product management to ensure data quality, pipeline efficiency, and business alignment
• Serve as the technical bridge between data engineering infrastructure and business-facing analytics, ensuring seamless integration of analytical solutions
• Partner cross-functionally with Pricing, Contract Development, Value and Access, Account Management, Finance, Forecasting, and Data Management teams to drive strategic initiatives
• Communicate complex analytical findings through compelling data narratives and visualizations tailored to diverse audiences
• Continuously evaluate and implement emerging methodologies and technologies in data science to advance the team's predictive capabilities

Benefits

• Bring the miracles of science to life alongside a supportive, future-focused team.
• Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or a lateral move, at home or internationally.
• Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact.
• Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs, and at least 14 weeks’ gender-neutral parental leave.

What This Job Offers

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