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.

On a day-to-day basis, the incumbent could expect to engage in the following activities:
- Acquire, manage, and prepare real-world data for analysis
- Apply NLP techniques to extract relevant information from unstructured data (e.g., notes, reports) from EHR as needed
- Conduct analysis of EHR data to investigate associations between various predictors and health outcomes
- Develop/adopt, implement, and validate advanced computational algorithms for disease phenotyping, risk prediction, and treatment effectiveness studies
- Interpret and summarize the results of analysis for presentations, scientific reports, and manuscripts
- Effectively collaborate with internal and external stakeholders, including clinicians and data scientists from other departments/disciplines
- Keep abreast of emerging trends and advancements in AI research to propose innovative solutions to healthcare challenges
- Ensure compliance with privacy regulations (e.g., NIST and HIPAA), when working with 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.

• 10% Prepares data sets for analysis including cleaning/quality assurance, transformations, restructuring, and integration of multiple data sources
• 15% 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
• 10% Organizes and automates project steps for data preparation and analysis
• 10% Composes and assembles reproducible workflows and reports to clearly articulate patterns to researchers and/or administrators
• 15% Documents approaches to address research questions and contributes to the establishment of reproducible research methodologies and analysis workflows
• 15% 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
• 5% May supervise the data-to-day activities of staff and resolves routine personnel issues
• 20% Develops and optimizes advanced computational algorithms using Artificial Intelligence (AI), Machine Learning (ML), regression, and rules-based models

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:

Required
PhD in Computer Science, Statistics, Biostatistics, Epidemiology, or closely related field required.

Must be obtained by the start date of the position.

Qualifications:

Required Qualifications:
- Strong foundation in statistics and advanced methods for analyzing health data
- Strong knowledge and skills in using analytical software (e.g., R, SQL, Python)
- A minimum of 4 years of experience in analyzing health data using Artificial Intelligence (AI) and Machine Learning (ML) approaches
- Understanding of healthcare systems, workflows, and Electronic Health Records (EHR) data structures
- Understanding of medical terminology, coding systems (e.g., ICD, CPT, SNOMED, LOINC, RxNorm), and healthcare standards (e.g., HL7, FAIR)
- Excellent communication skills to convey research results to scientific audience and the public

Preferred:
- Experience working with ML libraries (e.g., TensorFlow, PyTorch) and data manipulation tools (e.g., Pandas)
- Understanding of privacy regulations (e.g., NIST, HIPAA) for working with health data
- Strong publication record in reputable journals
- Ability to effectively integrate in cross-functional and multi-cultural teams

Work Type:

Full Time: 100%

It is anticipated this position will be remote and requires work be performed at an offsite, non-campus work location. An on campus location will be provided should a candidate prefer to work partially or fully onsite.

Appointment Type, Duration:

Terminal, 24 month appointment.
This position has the possibility to be extended or converted to an ongoing appointment based on need and/or funding

Salary:

Minimum $90,000 ANNUAL (12 months)
Depending on Qualifications
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)

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-Terminal

Job Number:

306537-AS

 

The University of Wisconsin-Madison is an Equal Opportunity and Affirmative Action Employer.

Qualified applicants will receive consideration for employment without regard to, including but not limited to, race, color, religion, sex, sexual orientation, gender identity, 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 through diversity 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

If you need to request an accommodation because of a disability, you can find information about how to make a request at the following website: https://employeedisabilities.wisc.edu/disability-accommodation-information-for-applicants/

Employment may require a criminal background check. It may also require you and your references to answer questions regarding 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).

The Annual Security and Fire Safety Report contains current campus safety and disciplinary policies, crime statistics for the previous 3 calendar years, and on-campus student housing fire safety policies and fire statistics for the previous 3 calendar years. UW-Madison will provide a paper copy upon request; please contact the University of Wisconsin Police Department.