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Company Overview
A global biopharmaceutical organization focused on R&D-driven, AI-powered solutions is seeking an Associate Director of Data Science to advance market access strategies. The company develops innovative treatments for immune challenges, rare diseases, cancers, and neurological conditions, delivering transformative therapies that impact millions globally. The organization emphasizes collaboration across functions to drive data-informed decisions and improve patient outcomes.
Summary
The Associate Director of Data Science will lead the development and deployment of advanced analytics solutions to support market access and pricing decisions. The role involves analyzing patient longitudinal and customer datasets, building predictive models, creating interactive dashboards, and translating complex data into actionable insights for stakeholders.
Responsibilities
Design, develop, and deploy predictive models and analytical solutions using workflow orchestration tools (Dagster, Airflow) and DBT to drive market access and pricing decisions
Hands-on experience with R and/or Python for modeling, machine learning, and statistical analysis
Architect and maintain scalable datasets integrated with data engineering infrastructure
Create interactive dashboards and reports using business intelligence tools for stakeholders
Perform advanced statistical analyses to identify trends, patterns, and strategic opportunities
Develop and implement machine learning algorithms to enhance forecasting and predictive analytics
Collaborate with data engineering, SQL developers, and analytics product management to ensure data quality and pipeline efficiency
Serve as a technical bridge between data infrastructure and business-facing analytics
Partner cross-functionally with Pricing, Contract Development, Value and Access, Account Management, Finance, Forecasting, and Data Management teams
Communicate complex analytical findings through compelling data visualizations and narratives
Continuously evaluate emerging methodologies and technologies to advance predictive capabilities
Mentor and provide technical guidance to developers and junior analysts
Qualifications
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
Proficiency in Python or R, and experience with ML frameworks (scikit-learn, TensorFlow, PyTorch, XGBoost, etc.)
Hands-on experience with workflow orchestration tools (Dagster, Airflow, Prefect, or similar)
Proficiency in SQL and relational database management
Expertise in data visualization tools (Tableau, Power BI, or similar)
Experience with cloud platforms (Kubernetes) and modern data stack technologies
Strong foundation in statistical methods, experimental design, and A/B testing
Deep understanding of pharmaceutical market access, pricing strategies, and reimbursement dynamics
Experience analyzing longitudinal patient data, claims, and formulary datasets
Knowledge of US healthcare system, payer landscape, regulatory environment, and healthcare data standards (e.g., NDC, HCPCS, ICD codes, IQVIA)
Exceptional problem-solving, project management, and communication skills
Collaborative mindset with ability to mentor junior analysts
BA or BS degree required; advanced degree preferred
Why Choose This Role?
Contribute to transformative healthcare solutions with a supportive, future-focused team
Career growth through promotions, lateral moves, and international opportunities
Comprehensive rewards package including health and wellbeing benefits
Gender-neutral parental leave and wellness programs
Disclaimer
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1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality. 2. No Client Relationship: This company is not a client of SpringCube unless stated. 3. To Apply: Click the “Apply” button to be redirected to the hiring company’s application page for this job. 4. No Liability: SpringCube is not liable for inaccuracies.
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