Associate Director, Data Science - Market Access

* 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
* Demonstrated experience working with workflow orchestration tools (Dagster, Airflow, or similar) to product ionize 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- 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
* Advanced proficiency in Python or R for statistical modeling, machine learning, and data analysis
* Experience with ML frameworks (scikit-learn, Tensor Flow, 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
** Education**:
* 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.
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