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Data Scientist II

Job in Madison, Dane County, Wisconsin, 53706, USA
Listing for: University of Wisconsin Madison
Full Time position
Listed on 2026-07-06
Job specializations:
  • IT/Tech
    Data Scientist
  • Research/Development
    Data Scientist
Job Description & How to Apply Below
Current Employees:
If you are currently employed at any of the Universities of Wisconsin, log in to Workday to apply through the internal application process.

Job Category:

Academic Staff

Employment Type:

Regular

Job Profile:

Data Scientist II

Job Summary:

The Office of Informatics and Information Technology (IIT) is seeking an outstanding candidate for a Data Scientist II position to manage and fulfill research data needs for a grant funded project. The responsibilities of the incumbent will include collaborating with faculty, staff, and research partners to support the design and execution of research studies using robust and scientifically sound data strategies.

This role will involve contributing to research design, extracting and integrating data from sources such as electronic health records, transforming and curating data to create high‑quality, research‑ready datasets, and supporting analytic efforts aligned with study objectives. The incumbent will also be responsible for maintaining clear documentation of data sources, methodologies, and assumptions to support transparency, reproducibility, and effective collaboration.

This role offers unique opportunities to contribute to innovative research and development within our team.

It is anticipated that this position will be remote and requires work be performed at an offsite, non-campus work location.

Key

Job Responsibilities:

* Documents approaches to address research questions and contributes to the establishment of reproducible research methodologies and analysis workflows

* Composes and assembles reproducible workflows and reports to clearly articulate patterns to researchers and/or administrators

* Independently identifies and implements appropriate data science techniques to find data patterns and answer research questions chosen by the lead researcher including data visualization, statistical analysis, machine learning, and data mining

* Organizes and automates project steps for data preparation and analysis

* Prepares data sets for analysis including cleaning/quality assurance, transformations, restructuring, and integration of multiple data sources

Department:

School of Medicine and Public Health, Office of Informatics and Information Technology, Research Data Services.

This position is within the School of Medicine and Public Health's Office of Informatics and Information Technology (IIT). IIT is a multidisciplinary team of data scientists, engineers, developers, and IT support staff. We offer a variety of Informatics and IT services to departments and research staff within the School of Medicine and Public Health and beyond to support the conduct of high-quality clinical and translational research.

* Informatics:
We provide innovative solutions and training for a broad spectrum of clinical and translational research utilizing real-world data to facilitate rapid translation of research findings into clinical practice, with an emphasis on precision medicine, healthcare delivery, and population health.

* Technology Solutions:
We provide technology solutions to the School of Medicine and Public Health including cybersecurity, educational technology, and IT support.

This role is part of the Clinical Research Data Services (CRDS) team within SMPH-IIT. The CRDS team plays a critical role in advancing clinical research across SMPH by providing comprehensive data and computational support to investigators and research teams. CRDS team members provide support with research design, data extractions, data transformation and compute needs.

CRDS is dedicated to enabling high-quality, data-driven research. The CRDS team collaborates with faculty, staff, and research partners to ensure studies are designed and executed using robust data strategies. Services include support for research design, data extraction and integration from sources such as electronic health records, data transformation and analysis to create research ready datasets.

This position and the CRDS team offer the opportunity to work in a collaborative, interdisciplinary environment that values innovation, precision, and impact in clinical research.

Compensation:

The starting salary for the position…
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