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Associate Director, Data Science – Market Access at Sanofi | JobVerse
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Associate Director, Data Science – Market Access
Sanofi
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Associate Director, Data Science – Market Access
Cambridge, New Jersey, United States of America
Full Time
3 weeks ago
$148,500 - $214,500 USD
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Key skills
Airflow
Cloud
Kubernetes
Python
PyTorch
Scikit-Learn
SQL
Tableau
Tensorflow
R
Machine Learning
ML
TensorFlow
scikit-learn
MLOps
XGBoost
Data Engineering
Analytics
BI
Business Intelligence
Power BI
dbt
Statistical Analysis
Product Management
A/B Testing
Account Management
About this role
Role Overview
Lead the development and delivery of advanced analytics solutions to support market access and pricing decisions
Perform sophisticated analyses on patient longitudinal data, develop interactive dashboards and reports
Translate complex data into actionable insights for stakeholders
Design, develop, and deploy predictive models and analytical solutions using Dagster/Airflow and DBT workflows
Architect and maintain scalable datasets that integrate with existing data engineering infrastructure
Create interactive dashboards and reports using business intelligence tools
Perform advanced statistical analysis on patient longitudinal data and large customer datasets
Develop and implement machine learning algorithms to enhance forecasting capabilities
Collaborate closely with the data engineering team, SQL developers, and analytics product management
Serve as the technical bridge between data engineering 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 narratives and visualizations
Continuously evaluate and implement emerging methodologies and technologies in data science
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)
Tech Stack
Airflow
Cloud
Kubernetes
Python
PyTorch
Scikit-Learn
SQL
Tableau
Tensorflow
Benefits
health insurance
prevention and wellness programs
at least 14 weeks’ gender-neutral parental leave
Apply Now
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