University of Wisconsin - Madison

Position Vacancy Listing

PVL # 92107



Working Title:
Official Title:
Degree and area of specialization:
Doctoral degree (PhD, ScD, or equivalent) in Computer Science, Biomedical Informatics, Bioinformatics, Computational Biology, or a closely related quantitative area is required.

Area of Specialization: Research focus on machine learning or a closely related area. Other relevant methodological expertise may include, but is not limited to, database theory and methods and/or data mining, natural language processing, and data privacy and security.

Prefer candidates with experience or a demonstrated interest in both methodological development and collaborative applications, and in motivating their methodological research through biological, clinical, and/or public health science applications.
Minimum number of years and type of relevant work experience:
Years of experience will be commensurate with the rank sought. All candidates must have proven success in conducting research and teaching appropriate to their stage of career. Associate/Full Professor candidates must possess experience and scholarly credentials for appointment with tenure at UW-Madison.

A key consideration is the ability to and interest in working in a collaborative interdisciplinary environment.
Principal duties:
The successful applicant will be expected to:
1. Develop and fund an independent research program in biomedical informatics, generally focused on machine learning or a closely related area. Conduct research on novel methods and applications of biomedical informatics to address questions in bioinformatics or
computational biology, precision medicine, translational bioinformatics, clinical trials and other clinical investigation,
population health research or health services research, and/or the improvement of clinical care;
2. Collaborate with investigators at UW-Madison and/or its partner institutions in the broad area of biomedical
3. Publish results in leading biomedical informatics, and/or biomedical journals appropriate to areas of application;
4. Teach courses, usually about 1 course per year, at the graduate and/or undergraduate levels;
5. Train and mentor graduate students and postdoctoral researchers; and
6. Participate in professional and University service appropriate to the faculty rank.
A criminal background check will be conducted prior to hiring.

  Employee Class:
Department(s):SMPH/BIOSTAT & MED I
Full Time Salary Rate:Negotiable
ANNUAL (12 months)
Appointment percent:100%
Anticipated begin date:JULY 01, 2018
Number of Positions:1

Application must be received by: JANUARY 01, 2018
Interested individuals should use the online UW Job application system to submit a cover letter, curriculum vitae, statements of research and teaching interests, and complete copies of three representative publications. The three publications should be uploaded as one document. Interested applicants should also arrange for at least three letters of reference to be sent to: Search and Screen Committee, c/o Chris Lindstrom at A review of complete applications will begin on December 15, 2017. To ensure full consideration, please apply by January 1, 2018. The position will remain open and applicants may be considered until the position is filled.
Questions about the position can be directed to:
Christine Lindstrom
Phone: 608-263-1706
600 Highland Ave   
Fax: N/A
K6/446 Clinical Science Center   
Madison, WI 53792-0001   
Relay Access (WTRS): 7-1-1 (out-of-state: TTY: 800.947.3529, STS: 800.833.7637) and above Phone number (See RELAY_SERVICE for further information. )

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:

NOTE: Unless confidentiality is requested in writing, the names of applicants must be released upon request. Finalists cannot be guaranteed confidentiality. In the case where there are fewer than five finalists, the names of the five most qualified candidates must be released upon request.  

UW-Madison is an equal opportunity/affirmative action employer.
We promote excellence through diversity and encourage all qualified individuals to apply.