Faculty Position in Bioinformatics

University of Minnesota, Department of Laboratory Medicine and Pathology
Minneapolis, Minnesota
Salary will be commensurate with experience
Closing date
Oct 8, 2022

View more

Health Sciences, Pathology
Position Type
Full Time
Job Type
Organization Type

The Department of Laboratory Medicine and Pathology (LMP) at the University of Minnesota Medical School is seeking to hire an academic track or tenure track faculty member interested in the interface of bioinformatics, machine learning, and the medical sciences. As the acquisition of biomedical data has become increasingly scalable, the challenge is shifting from obtaining data to identifying relevant data and analyzing and interpreting it relative to the existing knowledge of research. Often data is collected across multiple modalities including various imaging and ‘omics platforms, each with its own associated databases. In addition, digital pathology and spatial ‘omics platforms are extending the computational needs beyond the realm of traditional ‘omics analysis into complex image analysis. Our goal is to develop tools that leverage the multilayered nature of the data to establish relationships between modalities and direct experiments using advanced computational methodologies. The candidate will work closely with the Advanced Research and Diagnostics Laboratory (ARDL) within LMP, which is the central laboratory and biorepository for over 60 NIH funded multi-center observational studies and clinical trials and both generates and has access to large scale ‘omics data on several thousand samples. The applicant will also work closely with the Divisions of Computational Pathology and Anatomic Pathology to advance digital pathology applications within LMP.

Candidates must hold a PhD in Biophysics/Physics, Applied Mathematics, Computer Science, Statistics, Quantitative/Computational Biology or a related field. Strong background in statistics, experience implementing machine-learning algorithms, building analysis pipelines for ‘omics data and demonstrated ability to extract datasets from publicly available sources. Academic rank and appointment type will be commensurate with years of experience and accomplishments.  Candidates are expected to demonstrate a strong record of research productivity.  


Successful candidates must have the ability to:

  • Obtain external funding to support innovative research. 
  • Represent the Department and the University at professional meetings in local communities, nationally and across the world.
  • Assist in the recruitment of the best and brightest doctoral students, postdoctoral fellows and molecular pathology fellows and mentor them throughout their years of study. Obtain external funding for their support while working on research projects under the faculty member's supervision.
  • Publish seminal research findings in refereed, high impact journals, book chapters and books.
  • Collaborate with other faculty to obtain research funding for trans-disciplinary research.


The Department of Lab Medicine and Pathology recognizes and values the importance of diversity and inclusion in supporting the academic mission. Applications from individuals with a diversity of backgrounds and experiences, including those from underrepresented groups, are highly encouraged.

The University of Minnesota provides equal access to and opportunity in its programs, facilities, and employment without regard to race, color, creed, religion, national origin, gender, age, marital status, disability, public assistance status, veteran status, sexual orientation, gender identity, or gender expression. To learn more about diversity at the U:  http://diversity.umn.edu.

To apply for this position go to https://www.umn.edu/ohr/employment/index.html and go to search postings and enter the requisition 351447. Please upload a cover letter, CV, a brief statement of research interests, and the names and contact information for at least three references.  


Get job alerts

Create a job alert and receive personalized job recommendations straight to your inbox.

Create alert