Data Scientist III

The successful candidate for the role of statistician will play a critical role in advancing the Department of Emergency Medicine's growing research enterprise by providing expert statistical consulting and data analytics support. This role will collaborate closely with faculty investigators, research staff, and other members of study teams to ensure robust study design, accurate data interpretation, and high-quality research outputs.

The statistician will be responsible for designing and implementing statistical methodologies, conducting data analyses for clinical and translational research studies. In addition to supporting specific research projects, the statistician will act as a key resource for faculty and research staff, advising on dataset design and analysis plans. Some scientific writing will be required. The role may also involve mentoring trainees on statistical methodologies and fostering growth for learners in health professions and associated fields.

This is a highly collaborative role that requires strong analytical skills, problem-solving abilities, and the ability to communicate complex statistical concepts effectively to a diverse audience, including clinicians, research staff, and trainees. The ideal candidate will have experience working with large clinical datasets, electronic health records (EHR), and advanced statistical techniques applicable to emergency medicine research.

• 20% Prepares data sets for analysis including cleaning/quality assurance, transformations, restructuring, and integration of multiple data sources
• 30% 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
• 20% Organizes and automates project steps for data preparation and analysis
• 15% Composes and assembles reproducible workflows and reports to clearly articulate patterns to researchers and/or administrators
• 10% Documents approaches to address research questions and contributes to the establishment of reproducible research methodologies and analysis workflows
• 5% 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

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

Preferred
Terminal Degree

Required Qualifications:

- At least 2 years' experience in a clinical research environment, working with interdisciplinary teams (including physicians and data scientists)
- Expertise using psychometric tools for test construction and validation
- Expertise using Tableau and other visualization tools to complete research projects
- Proficiency in statistical programming languages such as R, SAS, Python, or STATA

Preferred Qualifications:

- Experience collaborating with content experts in early-stage study design to identify methodological approaches suited to project goals
- Familiarity with emergency medicine, prehospital medicine, and emergency care delivery data and variable structure
- Track record of supporting projects from conceptualization through dissemination, including conference presentations and peer reviewed publications
- Experience scaffolding projects as required to support and teach trainees

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

Ongoing/Renewable

$107.14 HOURLY
Fixed
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)

Due to the sporadic nature of the hours, this position will be paid hourly and will not have an assigned FTE. This role requires a flexible schedule, with hours that may vary depending on project needs. There may be occasions when tasks need to be completed during evenings or weekends to meet deadlines or business demands. We appreciate candidates who are adaptable and comfortable with this level of flexibility.

The department will not be able to support a request for a J-1 waiver. If you choose to pursue a waiver and apply for our position, neither the UW nor UWMF will reimburse you for your legal or waiver fees.

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. If you are selected for this position you must provide proof of work authorization and eligibility to work.

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, and a document listing contact information for three (3) references, including your current/most recent supervisor. References will not be contacted without prior notice.

Anne Redfearn
aredfearn@wisc.edu
608-262-1247
Relay Access (WTRS): 7-1-1. See RELAY_SERVICE for further information.

Data Scientist III(RE061)

A53-MEDICAL SCHOOL/EMERG MED

Academic Staff-Renewable

313021-AS