Indiana University Health is unlike any other healthcare system and we're looking for team members who share the things that matter most to us. People who are inspired by challenging and meaningful work for the good of every patient. People motivated to do their best every day. People who are always ready to apply themselves. As one of Indiana's largest employers, our vision is to lead the transformation of healthcare through quality, innovation and education, and make Indiana one of the nation's healthiest states.

Data Scientist

IU Health is seeking a Data Scientist to realize our mission to improve Indiana’s overall health. An ideal candidate will have experience with healthcare provider data and should be able to work independently to develop end to end artificial intelligence (AI) / machine learning solutions. This role will leverage deep learning frameworks, generative AI, and other machine learning methods to extract valuable insights to support IU Health and the patients we serve.

RESPONSIBILITIES:

Solves business problems through making testable predictions from data.  Consulting with stakeholders to identify business problems  Curating any data necessary Creating machine learning models and programmatically updating models and predictions.  Success is accomplished by creating interactive visualizations to communicate model performance and business impact, meeting the needs of end-users, and soliciting feedback for continual improvement.

STRONGLY PREFERRED:

Distributed / big data frameworks, such as Apache Spark Tensorflow or Pytorch Healthcare data Understanding of ML life-cycle Experience with LLMs & Generative AI

REQUIREMENTS:

Masters Degree required. 3 Years of experience required. Strong demonstrated working knowledge of SQL and data modeling required. Demonstrated experience with statistical methods and machine learning algorithms (e.g. resampling methods, ensemble models, forecasting models). Demonstrated experience scripting with a general-purpose language (e.g. Python). Demonstrated experience creating dashboards (e.g. Tableau). Demonstrated experience using cloud services (e.g. Azure).