Research Data Scientist

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 in WI. As a Data Scientist, the incumbent will use clinical, omics and imaging 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:
- Develop and implement informatics pipelines for clinical, omics or imaging data processing, integration, and visualization.
- Analyze and interpret large-scale omics or imaging datasets using advanced computational/bioinformatics methods.
- Apply statistical and machine learning techniques to identify patterns and insights from complex clinical and biological data.
- Develop/validate advanced computational algorithms using Artificial Intelligence (AI), Machine Learning (ML), regression, and rules-based models.
- 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.
- 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.
- 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.
- 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.
- Keep abreast of emerging trends and advancements in AI research to propose innovative solutions to healthcare challenges.

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.

• Identifies and implements or guides others in implementing 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

• Serves as an institutional subject matter expert and liaison to key internal and external stakeholders regarding data science best practices and methodologies and represents the interests of data science

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

• 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

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

• Develops and optimizes advanced computational algorithms using Artificial Intelligence (AI), Machine Learning (ML), regression, and rules-based models

School of Medicine and Public Health, Office of Informatics and Information Technology, Data Science to Promote Precision Medicine.

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 experienced Research Data Scientists for the Data Science to Promote Precision Medicine initiative, and drive transformative data science projects to enhance healthcare and research at SMPH.

The starting salary for the position is $90,000 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 (https://hr.wisc.edu/benefits/).

SMPH Academic Staff Benefits flyer: (https://uwmadison.box.com/s/r50myohfvfd15bqltljn0g4laubuz7t0)

At least five years of experience in any of the following:
- Analysis of large-scale human sample-based omics data (genomics/proteomics/metabolomics) and strong knowledge of bioinformatics tools and databases.
- Analysis of EHR data
- Analysis of Ophthalmic imaging data

- Proficiency in programming languages such as Python, R, and SQL.
- Experience with statistical analysis and machine learning techniques.
- Excellent problem-solving skills and attention to detail.
- Strong communication skills and ability to work collaboratively in a team environment.

- Experience working in academic institutions.

Terminal Degree preferred, MD or PhD with a focus in Computer Science, Data Science, Clinical Informatics, Bioinformatics Epidemiology, Biostatistics, Ophthalmology or related disciplines preferred

To apply for this position, please click on the "I am a current employee" button or "I am not a current employee" button under Apply Now. You will be prompted to upload the following documents.

• Cover Letter
• Resume

Please note, there is only one attachment field. You must upload all of your documents in the attachment field.

Applicants are to submit a cover letter and resume detailing their training and experience relating to the required and preferred qualifications referenced above. The application reviewers will be relying on written application materials to determine which qualified applicants will advance in the recruitment process. We will notify selected applicants to participate further in the selection process directly. References will be requested of final candidates. All applicants will be notified after the search is complete and a candidate has been 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.

Cody Roekle, croekle@wisc.edu 608-263-7676

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

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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

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, click here.

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