Sanofi · 11 hours ago
Associate Director, Data Science - Market Access
Morristown, NJ
Full-time
Onsite
Lead/Staff, Director/Executive
$148K/yr - $214K/yr
5+ years expSanofi is an R&D-driven, AI-powered biopharma company committed to improving people’s lives and delivering compelling growth. The Associate Director of Data Science will lead the development and delivery of advanced analytics solutions to support market access and pricing decisions, collaborating with various departments to enhance data-driven decision-making.
Health CareLife SciencePharmaceuticalTherapeutics
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
Qualification
Required
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
Advanced Degree
Benefits
High-quality healthcare
Prevention and wellness programs
At least 14 weeks’ gender-neutral parental leave
Company
Sanofi
Sanofi is a global biopharma company focused on prescription drugs, vaccines, and treatments for chronic, rare, and infectious diseases.
10001+ employees
H1B Sponsorship
Sanofi has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (101)
2024 (68)
2023 (59)
2022 (78)
2021 (38)
2020 (38)
Funding
Current Stage
Public CompanyTotal Funding
$6.97BKey Investors
Blackstone Life SciencesEvotec
2025-10-28Post Ipo Debt· $3B
2025-06-17Post Ipo Debt· $1.74B
2025-03-05Post Ipo Debt· $1.59B
Leadership Team
Paul Hudson
Chief Executive Officer
Francois-Xavier Roger
Chief Financial Officer
Recent News
2026-01-14
Company data provided by crunchbase