Description

Position Summary

The Department of Medical and Molecular Genetics at Indiana University School of Medicine is seeking applicants at the assistant research professor level. This is a scientist track non-tenure position.

The successful candidates must have a Ph.D. degree in computational biology, bioinformatics, quantitative genetics, molecular biology and genomics, or other related research area. Candidate must have expertise in large datasets, developing analysis pipelines, omics analyses, the ability to program and use command line tools, machine learning approaches and data visualization tools. Expertise in developing statistical models as well as a firm foundation in biological research are strongly preferred. The candidate will have overall responsibility for designing, executing and/or supervising the bioinformatics projects for the laboratory. Excellent verbal and written communication skills in English are essential. The candidate needs to be able to mentor graduate students and technicians and collaborate with diverse laboratory personnel without bioinformatics skills. It is highly desirable for the holders of this position to develop research projects with strong potential for long-term NIH funding and to have demonstrated the ability to collaborate with others.

The Department of Medical and Molecular Genetics offers a highly collegial and interdisciplinary environment that spans clinical medicine and basic research. See https://medicine.iu.edu/genetics .

IUSM is committed to being a welcoming campus community and we seek candidates whose research, teaching, and community engagement efforts contribute to robust learning and working environments for all students, staff, and faculty. We invite individuals who will join us in our mission to improve health equity and well-being for all throughout the state of Indiana.

Applicants should apply at: https://indiana.peopleadmin.com/postings/26219

Basic Qualifications

The successful candidates must have a Ph.D. degree in computational biology, bioinformatics, quantitative genetics, molecular biology and genomics, or other related research area. Candidate must have expertise in large datasets, developing analysis pipelines, omics analyses, the ability to program and use command line tools, machine learning approaches and data visualization tools. Expertise in developing statistical models as well as a firm foundation in biological research are strongly preferred.

Department Contact for Questions

Hunter Hartman - [email protected]