UChicago Medicine is looking to leverage statistical analysis, predictive and prescriptive modeling, and advanced visualizations to assist organizational leadership with operations, change monitoring, strategic planning, research, publications, and program development. The organization also needs an expert to ingest new data sources into supported applications and identify and design data management solutions to benefit UChicago.
Requirements
- Must have extensive experience with R, SAS, or Python for development of statistical and machine learning models
- Expert in SQL
- Must have experience with data warehousing and data model design, or experience partnering with experts in those functions
- Experience in organizing, analyzing, and disseminating significant amounts of information with attention to detail and accuracy
- Experience in data management, including extraction, transformation, loading, validation/testing, and structuring of data
- Ability to process, cleanse, and verify the integrity of data used for analysis
- Understanding of healthcare data preferred including ICD-9, ICD-10, and CPT
Responsibilities
- leverage statistical analysis, predictive and prescriptive modeling, and advanced visualizations to assist organizational leadership with operations, change monitoring, strategic planning, research, publications, and program development
- serve as an Extract-Transform-Loading (ETL) expert on ingesting new data sources into supported applications
- identify and design data management solutions to benefit UChicago
- design and deliver data models, data structures, and informatics solutions using appropriate statistical analyses to meet business, clinical, and research analytics needs
- partner with IT and data warehouse teams to implement, enhance, and maintain ongoing solutions
- Support stakeholder projects or ad hoc analysis by developing predictive/prescription models, preforming statistical analysis, and managing the ingestion of new data sources/ETLs in MDClone platform
- Design data management solutions to maximize user experience and technical efficiency and partner with IT and the UChicago ADAMS Center for implementation
Other
- 2-5 years of work experience in a related job discipline
- PhD in a quantitative field such as Statistics, Computer Science, Physics, or Bioinformatics (Masters or BA with industry experience also considered)
- Communicate and share results of analyses and data solutions at internal and external meetings
- Excellent verbal and written communication skills for both technical and non-technical audiences
- Epic Clarity or other Epic certifications
