Data Scientist – Clinical Trials / AI & ML

We are seeking a highly technical Data Scientist to join the cMARS (Center for Metrics, Analytics, Reporting & Solutions) Data Science Team. This role focuses on building and productionizing AI/ML models, predictive analytics solutions, and GenAI tools supporting Clinical Trial Operations and R&D analytics initiatives.

Key Responsibilities:

• Build and deploy predictive, prescriptive, and descriptive analytics models for clinical trial operations

• Develop machine learning solutions for forecasting, risk monitoring, resource allocation, and milestone tracking

• Analyze clinical trial and real-world data to generate operational insights and benchmarking analytics

• Design AI/GenAI solutions including NLP workflows, document automation, and chatbot functionality using LLM frameworks

• Create centralized risk prediction and alerting mechanisms across sites, studies, countries, and portfolios

• Translate analytical findings into business insights and stakeholder presentations

Required Skills:

• 5+ years of Data Science experience within the Pharmaceutical or Clinical Trials domain

• Strong Python and/or R programming experience with Data Science libraries

• Experience building supervised and unsupervised ML models

• Hands-on experience with Regression, Random Forest, Decision Trees, NLP, Clustering, Predictive Analytics

• Experience deploying ML models into production environments

• Experience working with Clinical Trial Operational Data or Real World Data (RWD)