Associate Director - Predictive Science & AI US Commercial
Core
Lead the design, development, validation, and deployment of machine learning and predictive analytics solutions to drive data-driven decision-making for the U.S. Commercial organization.
Role type
Senior IC machine-learning engineer (commercial strategy & leadership)
Builds
Predictive models and analytical tools for patient populations and healthcare provider behaviors
Domain
Biotechnology / Healthcare Commercial Operations
Deliverable
production ML models
Required skills
Python, SQL, Databricks, Snowflake, Power BI, machine learning, statistical modeling, predictive analytics, optimization techniques, commercial pharmaceutical data sources (IQVIA, Symphony Health, Veeva, Komodo, claims, EHR)
Preferred skills
Cloud-based data platforms, matrixed organization project management, data-driven business strategy
Responsibilities
Lead design and deployment of ML solutions; Identify AI opportunities for patient/provider insights; Establish model governance best practices; Create predictive models for patient identification and adherence; Integrate claims and EHR data; Partner with Commercial and Medical Affairs teams; Communicate findings to executive leadership; Mentor data scientists; Manage external vendors.
Seniority
Senior, hands-on IC with management responsibilities