Description

You will develop and deploy predictive models for patient events and scale Next Best Action solutions to optimize HCP engagement across channels.

This role is remote.

Responsibilities

• Build and maintain end-to-end ML pipelines for data ingestion, feature engineering, training, and deployment using MLOps best practices.
• Apply advanced ML techniques including regression, classification, and NLP to create multi-touch attribution pipelines for customer journeys.
• Integrate GenAI capabilities into commercial workflows, including HCP engagement planning, content personalization, and ML pipeline interfaces.
• Partner with Sales, Marketing, and Analytics teams to translate business problems into analytical solutions and deliver actionable insights.
• Ensure compliance with data privacy standards (HIPAA) while working with large-scale healthcare datasets including claims, EHR/EMR, and CRM data.

Required Skills

• 7+ years of experience in data science or machine learning engineering.
• Master's degree in a quantitative field.
• Proficiency in Python and SQL for data manipulation and analysis.
• Hands-on experience with Databricks and AWS cloud platforms.
• Strong background in implementing CI/CD pipelines for scalable ML deployment.
• Experience with Machine Learning frameworks and techniques (regression, classification, NLP).
• Familiarity with CRM systems and large-scale data management.

Preferred Skills

• Experience with GenAI integration and commercial strategy support.
• Background in healthcare or life sciences data domains.

Key Skills

Education

Master's degree