Data Scientist Wisconsin Reading Center

The Wisconsin Reading Center and A-EYE unit is looking for a key role in the research team to participate in data analytics in health sciences with a focus on ophthalmology. This involves working with large datasets from various sources collaborating with ophthalmologists and researchers to develop predictive models to aid in the detection diagnosis and management of patients with ocular diseases. This is a great opportunity to work on interesting projects in a highly collaborative environment with a goal of implementing big data analysis in preventing and curing blindness.

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

• This position has the possibility to be extended or converted to an ongoing appointment based on need and/or funding.

Some of the key responsibilities of this position include:

• Data Analysis & Reporting: Develop reproducible workflows analyses dashboards and reports to support research and operational decision-making.

• Research Documentation & Methodology: Document analytical methods and maintain reproducible research workflows and standards.

• Advanced Analytics & AI Solutions: Apply statistical analysis machine learning AI and data mining techniques to identify patterns answer research questions and solve operational problems.

• Process Automation: Design and implement automated data preparation analysis and reporting processes to improve efficiency and scalability.

• Data Management & Quality: Prepare clean validate transform and integrate datasets for research grading and AI applications while ensuring data quality and integrity.

• Other duties: Participate in national and international meetings for the dissemination of research. Assist faculty with the education and mentoring of research students.

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

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

• Documents approaches to address research questions

• Implements appropriate data science techniques under the guidance of other data scientists statisticians and/or other researchers 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

• Assist the principal investigator in the hiring training and supervision of students and staff.

Department: School of Medicine and Public Health Department of Ophthalmology and Visual Sciences Wisconsin Reading Center.

The Wisconsin Reading Center (WRC) is a core retinal image reading lab within the University of Wisconsin-Madison Department of Ophthalmology and Visual Sciences (DOVS). The WRC was founded on the enduring principles of intellectual honesty quality relevance innovation and staff satisfaction. Incepted in 1970 to support the seminal NIH-funded trials of laser treatment for diabetic retinopathy (DR) the WRC has broadened its scope to the evaluation of many retinal diseases including dry AMD atrophic AMD neovascular AMD DME retinal vein occlusion posterior uveitis inherited retinal disease AIDS-related ocular disease and cataract.

Why Join Us

We provide flexible work schedules comprehensive benefits and professional development. Our team is passionate about making a positive impact on eye disease and we are looking for individuals who share that commitment.

Travel Expectations

It is required that employees come to Madison WI on quarterly preset dates. It will be the employees responsibility to cover expenses for this trip.

Working Conditions

There could be occasional night and weekend events.

The starting salary/hourly wage for the position is $65000 annually; but is negotiable based on experience and qualifications.

Employees in this position can expect to receive benefits such as generous vacation holidays and sick leave; competitive insurances and savings accounts; retirement benefits. For more information refer to the campus benefits webpage.

• SMPH Faculty /Academic Staff Benefits Flyer 2026

• Two years of statistics or machine learning in professional and/or staff setting.

• Proficiency with Python Linux and general programming especially in statistics and machine learning.

• Experience with PyTorch or similar deep learning library Docker Neural Networks for Image Recognition and Segmentation.

• Healthcare related experience

Master Degree required; focus in Machine learning statistics data science applied mathematics or related.

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Your cover letter should address how your training and experience aligns with the required and preferred qualifications listed above. Application reviewers will rely on these written materials to determine which applicants move forward in the process. References will be requested from final candidates. All applicants will be notified once the search concludes and a candidate is selected

Beth Reuter .

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