Data Scientist II or III

Universities of Wisconsin•Madison, WI

1d•$90,000 - $110,000•Hybrid

About The Position

The Center for High Value Imaging (CHVI) within the Department of Radiology seeks a Data Scientist to help lead data management for its research program. Working with a core group of researchers and staff, the position manages the collection and curation of high-quality clinical data to inform and improve radiology research and outcomes. The position reports directly to the Director of the Sr. Analytics Consultant. The Data Scientist provides data management and analysis to support research operations, scientific grants, and publications. The role requires developing a deep understanding of registry data and mapping multilevel data to research data dictionaries. The successful candidate will have or rapidly acquire an understanding of radiology data, be versed in Python and SQL, and have a solid understanding of data informatics. Applicants may be considered for Data Scientist II or Data Scientist III; the title will be determined by the finalist's experience and qualifications. Some work may be performed onsite at a designated campus location, and some may be performed remotely at an offsite, non-campus location.

Requirements

At least 2 years of professional experience managing large clinical datasets, including extracting and curating data from Epic or similar electronic medical records.
Professional experience or demonstrated capability in clinical data management.

Nice To Haves

Proficiency in data management, radiology data, and statistical analysis applications, including Python and SQL.
Strong familiarity with Epic, particularly Epic Clarity, Caboodle, and/or Epic-derived clinical data.
Epic certification(s).
Master’s degree preferred, with a focus in biomedical informatics, data management, or a related field.

Responsibilities

May supervise the day-to-day activities of staff and resolve routine personnel issues.
Identify and implement, or guide others in implementing, appropriate data science techniques to find data patterns and answer research questions selected by the lead researcher, including data visualization, statistical analysis, machine learning, and data mining.
Compose and assemble reproducible workflows and reports that clearly communicate patterns to researchers and/or administrators.
Serve as an institutional subject matter expert and liaison to internal and external stakeholders regarding data science best practices and methodologies, and represent data science interests.
Prepare datasets for analysis, including cleaning and quality assurance, transformations, restructuring, and integration of multiple data sources.
Document approaches to research questions and contribute to establishing reproducible research methodologies and analysis workflows.
Organize and automate project steps for data preparation and analysis.
Manage collection and curation of high-quality clinical data and map multilevel data to research data dictionaries.
Provide data management and analysis to support research operations, grants, and publications.