The Division of Computational Biology, within the Department of Quantitative Health Sciences, is seeking a highly motivated Computational Biologist to join as a faculty member to advance spatial transcriptomics and proteomics research. The position is equivalent to a tenure-track position. The successful candidate will develop innovative computational biology research program, leveraging single cell, spatial transcriptomics and proteomics approaches to advance discovery of tissue architecture and the understanding of the underlining complex biological processes. The Division of Computational Biology consists of a large group of scientists who are focused on developing and applying advanced analytical methods across broad areas of medicine.
The candidate will become a key member of an interdisciplinary team that leverages discovery science, AI, and computational methods, and will develop an independent research program taking advantage of the latest development in genomics and proteomics sciences including focused on spatial biology. Ample opportunities to network and expand collaborations across the Mayo Clinic enterprise are possible, particularly with the Center for Individualized Medicine, the Mayo Clinic Comprehensive Cancer Center, the Center for Biomedical Discovery, and the Center for Regenerative Medicine.
The successful candidate will be an outstanding scholar with a record of achievement and demonstrated ability to build a successful research program. The candidate will have leadership skills with the ability to mentor and give scientific direction to postdoctoral fellows and junior faculty and support staff. He/she will have excellent communication skills and provide education on topics relevant to expertise.
The Division of Computational Biology leads research in statistical genomics, bioinformatics and computational biology, and develops and applies innovative analytical techniques for biomedical discovery and translational research across a range of medical conditions. The division partners with scientists and clinicians throughout Mayo Clinic to carry out cutting-edge research to enhance the understanding of disease and improve health care.
Key areas of research in the division encompass analysis of biological data including genomics and transcriptomics; epigenomics; proteomics; metabolomics; microbiome; and digital pathology and imaging. For more information, please visit the Mayo Clinic Division of Computational Biology web site (www.mayo.edu/research/departments-divisions/computational-biology/overview).
The ideal candidate will hold a Ph.D. in Bioinformatics, Computational Biology, Computer Science, or Statistics and should have strong methodological expertise in the area of computational biology, with emphasis on spatial modeling of transcriptomics or proteomics to improve patient care. Success will be measured by securing extramural funding as a PI, participation to national scientific initiatives, involvement in national scientific leadership, and educational contributions.
Please visit our website (jobs.mayoclinic.org/job/rochester/open-rank-faculty-position-in-computational-biology-with-focus-on-spacial-transcriptomics/33647/48041848736) to learn more and apply. Applications should include a full CV/Bibliography, statement of research interests, statement of contribution to diversity/equity/inclusion, and the names/contact information of five references.