The role involves developing computational models for human tissue systems in drug discovery, collaborating across disciplines, and optimizing experimental conditions.

Lead a team of data scientists to develop machine learning models for real-world data in healthcare, while managing AI/ML projects and collaborating with stakeholders.

As a Data Engineer II, you'll develop data transformation pipelines, build visualization tools, and ensure high quality data for internal teams, working closely with data scientists in the Translational Data Sciences group.