Job Title: Associate Director, Data Science - Market Access
Location: Cambridge, MA, Morristown, NJ
Main Responsibilities:As the Associate Director of Data Science, you will lead the development and delivery of advanced analytics solutions to support market access and pricing decisions. You will perform sophisticated analyses on patient longitudinal data, develop interactive dashboards and reports, and translate complex data into actionable insights for stakeholders. Your role will involve partnering with various departments to support strategic initiatives and leveraging analytics capabilities to enhance data-driven decision-making. Core responsibilities of the role are as follows:
- 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
About YouExperience:- 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
Technical Skills:- 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
Domain Knowledge:- 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)
Soft Skills:- 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:
- BA or BS Degree
- Advanced Degree
Why Choose Us?- 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.
The salary range for this position is:
$148,500.00 - $214,500.00
All compensation will be determined commensurate with demonstrated experience. Employees may be eligible to participate in Company employee benefit programs. Additional benefits information can be found through the LINK.
