Job description

Job Summary

The Data Scientist will collaborate closely with members of the Midwest Center of Excellence for Vector-Borne Disease (MCEVBD), working with Susan Paskewitz (CALS - Department of Entomology) and Lyric Bartholomay (SVM - Department of Pathobiological Sciences).

The Data Scientist will contribute to multiple research projects that include: 1) evaluating currently available methods for reduction of host-seeking blacklegged ticks or West Nile virus vectors, 2) laboratory, semi-field, and field trials evaluating new products and delivery mechanisms for tick or mosquito control, 3) evaluating impacts of public health education on vector bite prevention.

The Midwest Center of Excellence for Vector Borne Disease was established in 2017 by the Centers for Disease Control & Prevention, with the mission of preventing vector-borne disease in the Upper Midwest. The Center's approach to this ambitious goal involves working with partners in public health and vector control to understand the knowledge gaps and challenges associated with vector-borne disease, conducting rigorous assessment of new and existing vector management approaches, and providing real-world research experiences to a next generation of public health entomologists.

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. May work independently or as part of a team.
  • 10% Prepares data sets for analysis including cleaning/quality assurance, transformations, restructuring, and integration of multiple data sources
  • 40% 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
  • 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
  • 10% Documents approaches to address research questions and contributes to the establishment of reproducible research methodologies and analysis workflows
  • 10% Co-authors publications, conducts literature reviews, and presents findings at scientific conferences
  • 5% Assists in development of reports and grant proposals
  • 5% Mentors students in statistical analyses and experimental design
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



Master's Degree

Required in Statistics, Biostatistics, Applied Statistics, Data Science, Computational Biology, or other related field


  • Skills and expertise in the use of statistical software
  • Strong skills in the application and interpretation of common statistical tests, regression analysis and power analysis
  • Experience in generating reproducible scripts, functions, and R package creation
  • Strong skills in data and analysis visualization for presentations and publication
  • Experience handling and analyzing a variety of data
  • Demonstrated project management and product development, including attention to detail with respect to data accuracy and limitations
  • Desire to operate collegially within a creative, fast-paced environment that emphasizes teamwork, integrity, and excellence
  • Ability to establish and communicate data management best practices to maintain data quality and support efficient and sustainable analytic work individually and across team members
  • Experience curating data from a variety of sources, assessing limitations and data quality, to manage, aggregate, and document for a particular use
  • Project collaboration and recording via version control system (e.g. GitHub)
  • Thesis based Master's degree. Contributions to at least one peer-reviewed publication.
  • Experience applying biostatistics to the fields of entomology, wildlife ecology, epidemiology of infectious disease, or social/behavioral science is highly desirable.
Work Type

Full Time: 100%

It is anticipated this position requires work be performed in-person, onsite, at a designated campus work location. It is possible some work may be performed remotely, at an offsite, non-campus work location. Remote work flexibility is dependent on supervisor approval.

Appointment Type, Duration



Minimum $56,734 ANNUAL (12 months)

Depending On Qualifications

Additional Information:

This position would be working in the School of Veterinary Medicine's Department of Pathobiological Sciences with close collaboration with the College of Agricultural & Life Sciences - Entomology.

How To Apply

To apply for this position, please click on Apply Now to begin the application process. You will be required to upload a current resume/CV, a cover letter briefly describing your qualifications relevant to the position, and a document listing the contact information for three professional references (including at least one current or former supervisor). Your cover letter should highlight your experience and skills as they relate to the listed qualifications for maximum consideration. For questions regarding the application process, please contact Karlye Wolff at .


Karlye Wolff


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

Official Title

Data Scientist II(RE021)



Employment Class

Academic Staff-Renewable

Job Number


The University of Wisconsin is an Equal Opportunity and Affirmative Action Employer. We promote excellence through diversity and encourage all qualified individuals to apply.

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:

Employment will require a criminal background check. It will 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).

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