Research Data Scientist (ai/ml)

Job Summary :

About Us : The UW School of Medicine and Public Health (SMPH) is a leader in research and innovation, dedicated to improving patient outcomes through advanced data science and analytics. We are seeking an experienced Research Data Scientist (AI / ML) for the Wisconsin Health Data Hub (WHDH), recently funded by the EDA as part of the Tech Hub () initiative, and drive transformative data science projects to enhance healthcare and research at SMPH.

Job Summary : Are you passionate about improving patient health outcomes, optimizing healthcare processes, and advancing science? Join our dynamic Informatics and Information Technology team at the University of Wisconsin School of Medicine and Public Health in Madison, Wisconsin. We are committed to revolutionizing healthcare through implementation of advanced data science approaches, conducting cutting-edge data-centric research, and generating real-world evidence to improve patient health outcomes at UW Health and beyond. As a Data Scientist, the incumbent will use real world data including Electronic Health Record (EHR) data to develop and implement advanced computational algorithms and support conduct of groundbreaking data-driven research.

On a day-to-day basis, the incumbent could expect to engage in the following activities in supporting researchers that use WHDH services :

• Data Collection and Preprocessing : preprocess, and validate EHR data, ensuring data quality and reliability; and transform raw data into standard data models (OMOP, mCODE, i2b2 etc.).
• Algorithm Development and Optimization : develop and optimize advanced computational algorithms using Artificial Intelligence (AI), Machine Learning (ML), regression, and rules-based models; apply AI / ML techniques to analyze EHR data, to uncover hidden biological and health patterns and gain meaningful insights; evaluate, validate, and implement AI / ML models, regression, and rules-based algorithms on UW Health EHR data; and ensure the reliability and accuracy of algorithms for production environments.
• Feature Engineering and Selection : identify key features of EHR data to enhance model performance; and apply domain-specific knowledge to identify meaningful features for predictive modeling.
• Predictive Modeling and Insights : build predictive models to forecast disease risk and progression, health outcomes and treatment effectiveness; and gain actionable insights from model outputs and communicate findings to research community.
• Natural Language Processing (NLP) : apply NLP techniques to extract insights from clinical notes, reports, and unstructured text data; and develop models for sentiment analysis, entity recognition, and information extraction.
• Integration and Optimization : integrate research outcomes with existing AI systems and databases to advance technological capabilities; and continuously optimize, troubleshoot, and debug AI algorithms based on research outcomes and evolving business needs.
• Stay Ahead of Emerging Technologies : keep abreast of emerging trends and advancements in AI research to propose innovative solutions to healthcare challenges.
• Collaboration and Communication : work closely with cross-functional teams, including clinicians, data scientists, data engineers, and product managers; and present research findings and recommendations in a clear and actionable manner.
• Ethical Considerations : work closely with data governance and security to ensure compliance with privacy regulations (e.g., NIST, HIPAA) when working with healthcare data; and address bias and fairness issues in AI models when dealing with sensitive health data.

Responsibilities : Contributes to a research agenda set by a lead researcher by preparing data sets, analyzing them using data science techniques, and presenting the results. Plays a leadership role and may lead a team and / or personnel.

Institutional Statement on Diversity :

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.

For more information on diversity and inclusion on campus, please visit : Diversity and Inclusion

Education : Preferred

Terminal Degree

MD or PhD in Computer Science, Data Science, Informatics, Epidemiology, Biostatistics, or related disciplines preferred

Qualifications : Required :

Preferred :

Work Type : Full Time : 100%

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.

Appointment Type, Duration :

Ongoing / Renewable

Salary :

Minimum $105,000 ANNUAL (12 months)

Depending on Qualifications

The starting salary for the position is $105,000 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. Benefits information can be found at ().

SMPH Academic Staff Benefits flyer : ()

Additional Information :

University sponsorship is not available for this position, including transfers of sponsorship. 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. UW-Madison is not an E-Verify employer, and therefore, is not eligible to employ F1 STEM OPT Extension participants. If you are selected for this position you must provide proof of work authorization and eligibility to work.

How to Apply :

To apply for this position, please click on the "Apply Now" button. You will be asked to upload a current resume / CV and a cover letter briefly describing your qualifications and experience.

Contact : Cody Roekle

croekle@wisc.edu

608-263-7676

Relay Access (WTRS) : 7-1-1. See RELAY_SERVICE for further information.

Official Title :

Data Scientist III(RE061)

Department(s) :

A53-MEDICAL SCHOOL / Informatics and IT

Employment Class :

Academic Staff-Renewable

Job Number : 310540-AS

Salary : $105,000