Top Biotech Data Science Jobs in Chicago, IL

The Data Scientist II will lead RWE studies, derive insights from real-world clinical data, and contribute to methodologies using advanced statistical techniques and AI tools, collaborating closely with pharmaceutical partners.

The intern will collaborate with statisticians to conduct analysis using AI and machine learning techniques, implementing models and analyzing clinical data.

Designs and implements AI, automation, and analytics solutions for supply chain. Develops data models, governance, reporting, and advanced analytics; collaborates with process owners to enable data-driven decisions and trains/supports business users.

The Data Scientist II will oversee data management, design study protocols, train staff, lead report development, and manage client activities using project frameworks.

This role involves analyzing EHR and insurance claims data to define clinical outcomes, developing AI models, and collaborating with technical experts for manuscript preparation.

The Data Scientist develops statistical and machine learning models to support data-driven decisions, collaborating with stakeholders and ensuring analytical results are actionable.

The Data Scientist develops and applies statistical and machine learning models to inform business decisions, collaborating with various stakeholders and handling the entire analytics lifecycle.

The Senior Associate Scientist will analyze and visualize data, collaborate on screening strategies, and validate hits for drug discovery using the EMMI platform.

The Data Manager – AI Development coordinates data planning, collection, annotation, and governance for AI medical devices, ensuring data readiness and compliance.