Data Scientist

The Department of Pediatrics is seeking a Data Scientist to contribute to cutting-edge research in the field of health informatics with a focus in health outcomes, applied machine learning, and high-throughput phenotyping. Join a unique team of physician-scientists, clinical informatics experts, statisticians, engineers, and computer scientists to innovate and develop models that are closely linked to healthcare practice with opportunities to implement your work into real-time and impact patient outcomes.

The Data Scientist will work within UW-Madison Pediatric Critical Care focusing on using electronic health record data to improve the care of hospitalized patients. The ideal candidate will be responsible for the development and execution of high-impact machine learning and statistical modeling projects. The individual will use machine learning and computational methods for preprocessing and analyzing data from the electronic health record. We are looking for a candidate who could fill a deep learning or natural language processing subspecialty in our lab.

This position will be responsible for providing data for abstract and manuscript submissions. It will also assist with the development of abstracts, posters, presentations, and manuscripts and will be involved in project monitoring and evaluation, data analysis, oversight of trainees, and dissemination of program results.

• This position may require some work to be performed in-person, onsite, at a designated campus work location. Some work may be performed remotely, at an offsite, non-campus work location., * 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

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

• Organizes and automates project steps for data preparation and analysis

• Writing of scientific reports, summarizing studies, and presentation of research

• Designs, implements, and optimizes end-to-end deep learning and natural language processing pipelines, including data ingestion, preprocessing, feature extraction, model development, training, validation, and deployment

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

• Composes and assembles reproducible workflows and reports to clearly articulate patterns to researchers and/or administrators, Important: The application has only one attachment field. Upload the following documents in that field, either as a single combined file or as multiple files in the same upload area. Failure to submit the required documents will result in no longer being considered for the position.

• Cover letter

• Resume

Your cover letter should address how your training and experience align 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.

University sponsorship is not available for this position, including transfers of sponsorship and TN visas. The selected applicant will be responsible for ensuring their continuous eligibility to work in the United States (i.e. a citizen or national of the United States, a lawful permanent resident, a foreign national authorized to work in the United States without the need of an employer sponsorship) on or before the effective date of appointment. This position is an ongoing position that will require continuous work eligibility. If you are selected for this position, you must provide proof of work authorization and eligibility to work.

• Basic knowledge of software development.
• Strong oral and written communication skills.
• Exceptional attention to detail.
• Ability to work well independently and as part of a team. Ability to build strong working relationships, communicate technical concepts to non-technical faculty and staff, foster collaborative decision-making and demonstrate professionalism at all times.
• Strong organizational and decision-making skills with the ability to set priorities, solve problems, adapt to changes quickly and make independent judgments.
• Knowledge and experience with package management and computing environment tools (Venv, uv, Pixi, etc.)
• Knowledge and experience developing technical documentation, tutorials, training, or other support materials for end users., * Two or more years of experience with data science and computational workflows.
• Experience working with electronic health record datasets.
• Experience with data wrangling, cleaning, modeling, visualization, and statistical analysis.
• Experience with one or more of the following languages: Python, R, or comparable language(s).
• Experience with distributed computing systems such as Linux-based cloud high-performance computing or similar high throughput computing system.
• Experience using Git, GitHub and GitLab.

Preferred Qualifications:

• Four or more years of experience working in a team-based clinical research environment with highly technical researchers across a variety of methodological fields, research domains, and computational platforms.
• Experience with artificial intelligence frameworks (keras, tensorflow, pytorch, JAX, etc.).
• Experience providing data support to research teams and contributing to grant proposals.
• Experience acting as a consultative resource to research professionals, working with them on projects to understand the desired outcome and developing a roadmap with clear deliverables to get there.

Education:

Master's Degree preferred; focus in Data Science, Informatics or related field is required.

• The starting salary for the position is $75,000 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

The Department of Pediatrics at the University of Wisconsin School of Medicine and Public Health is a vibrant academic department comprising more than 230 faculty members in 16 subspecialty divisions. The department promotes and enhances the health of children through outstanding clinical care, exemplary education of pediatric trainees, performance of cutting-edge research, and vigorous advocacy. Our faculty and research staff enjoy a robust infrastructure of services as well as the opportunity to contribute to our world-class research portfolio - since 2015 the department has ranked among the Top 20 pediatrics departments receiving NIH funding, according to Blue Ridge Institute for Medical Research. To provide remarkable health care for everyone in our community, we are committed to fostering a diverse, equitable, and inclusive environment in all aspects of our work. To learn more about the department's work and accomplishments, please visit, Diversity is a source of strength, creativity, and innovation for UW-Madison. We value the contributions of each person and respect the profound ways their identity, culture, background, experience, status, abilities, and opinion enrich the university community. We commit ourselves to the pursuit of excellence in teaching, research, outreach, and diversity as inextricably linked goals. The University of Wisconsin-Madison fulfills its public mission by creating a welcoming and inclusive community for people from every background - people who as students, faculty, and staff serve Wisconsin and the world. The University of Wisconsin-Madison is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to, including but not limited to, race, color, religion, sex, sexual orientation, national origin, age, pregnancy, disability, or status as a protected veteran and other bases as defined by federal regulations and UW System policies. We promote excellence by acknowledging skills and expertise from all backgrounds and encourage all qualified individuals to apply. For more information regarding applicant and employee rights and to view federal and state required postings, visit the Human Resources Workplace Poster website . To request a disability or pregnancy-related accommodation for any step in the hiring process (e.g., application, interview, pre-employment testing, etc.), please contact the Divisional Disability Representative (DDR) in the division you are applying to. Please make your request as soon as possible to help the university respond most effectively to you. Employment may require a criminal background check. It may also require your references to answer questions regarding misconduct, including sexual violence and sexual harassment. The University of Wisconsin System will not reveal the identities of applicants who request confidentiality in writing, except that the identity of the successful candidate will be released. See Wis. Stat. sec. 19.36(7).