The Department of Laboratory Medicine and Pathology at the University of Minnesota is seeking to hire a full-time tenure track/tenured or academic track faculty member to join our Division of Computational Pathology. Computational Pathology is an emerging field that seeks to extract clinically actionable knowledge from high-dimensional data and to present that information to clinicians in an interactive and intuitive way that optimizes clinical decision making and maximizes patient safety. The goal is to use intelligent algorithms, including machine learning, to design decision support systems that will allow for continuous quality improvement beyond current best practices, while at the same time being faster and less burdensome to the stakeholders in the healthcare environment.
The successful candidate will act as a bridge between the directors of the clinical laboratories that have the content expertise and the team of computer programmers that develop and maintain the software that enhances the relevant clinical and research workflows. This will allow the candidate to write impactful manuscripts to disseminate our innovative approaches and will open up grant opportunities for translational research.
Research already underway and possible focus areas include:
Optimizing HLA epitope analysis by data mining years’ worth of Luminex single antigen bead assays to improve solid organ transplant allocations and outcomes
Use machine learning algorithms to cluster flow cytometry data in high-dimensional space to identify novel cell populations and to develop more sensitive tests to detect minimal residual disease
Using artificial intelligence to perform automated image analysis of surgical pathology slides, allowing the field of digital pathology to transition from a subjective and descriptive assessment to one that is increasingly objective, quantitative and standardized
The automated calling of structural variation (copy number variants) using cytogenetic SNP arrays and next generation sequencing data with an interactive visualization and comparison to data from other cases seen in the lab
Other areas that the applicant has experience and/or interest in developing
In addition to advancing the clinical mission, there will be valuable research opportunities through collaborations with the Institute for Health Informatics (http://healthinformatics.umn.edu/) and the Masonic Cancer Center (http://www.cancer.umn.edu) where the successful candidate can mine extensive retrospective data for correlations with clinical outcomes. Opportunities to mentor and teach PhD, MD/PhD and medical students, residents and fellows will also be available.
The University of Minnesota is a large and diverse university and medical school with a large subspecialty practice plan of over 900 physicians, University of Minnesota Physicians. The Department of Laboratory Medicine and Pathology is home to a large number of anatomic and clinical pathology faculty as well as many basic science faculty involved in research, undergraduate and graduate education. The department also has anACGME approved residency program and fiveACGME approved fellowships. More information about the department can be found at http://www.med.umn.edu/pathology/
The University of Minnesota offers a comprehensive benefits package including:
Competitive wages, paid holidays, vacation and sick leave
Low cost medical, dental, and pharmacy plans
Health care and dependent daycare flexible spending accounts
Excellent retirement plans with employer match
Disability and employer paid life insurance
Wellbeing program with reduced insurance premiums
Tuition reimbursement opportunities covering 75%-100% of eligible tuition
Student loan forgiveness opportunity
Opportunities for growth and promotion
Employee Assistance Program
For more information regarding benefits: https://humanresources.umn.edu/sites/humanresources.umn.edu/files/2018_tcd-fpa-75100-ben-0105-10.pdf
Candidates must hold a Ph.D., M.D. or M.D. /Ph.D., or an equivalent degree. 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 and academic achievement in an analytical field, and the ideal candidate will have 3+ years of experience analyzing complex data sets and 3+ years of programming experience in a high-level computer programming language.
Internal Number: 326667
About University of Minnesota, Twin Cities
The University of Minnesota, founded in the belief that all people are enriched by understanding, is dedicated to the advancement of learning and the search for truth; to the sharing of this knowledge through education for a diverse community; and to the application of this knowledge to benefit the people of the state, the nation, and the world.