The Division of Computational Biology, within the Department of Quantitative Health Sciences, is seeking a highly motivated Computational Biologist to advance spatial modeling for transcriptomics and proteomics across the enterprise by recruiting a scientist able to develop innovative computational approaches to discover new 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 be a key member of an interdisciplinary team that leverages discovery science, AI, and computational methods, and will be closely aligned with priorities of the Center for Individualized Medicine, the Mayo Clinic Comprehensive Cancer Center, the Center for Biomedical Discovery, and ongoing developments for a Discovery Spatial Analytics Recharge Facility.
The candidate will develop productive research networks across the Mayo Clinic enterprise, develop innovative computational solutions for high priority research areas, develop and lead an area of unique research, have leadership skills with the ability to give scientific direction to a team of support staff, have excellent communication skills, mentor postdoctoral fellows and junior faculty, and provide education on topics relevant to expertise. The successful candidate will be an outstanding scholar with a record of achievement and demonstrated ability to build a successful research program.
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 computational biology, statistics, engineering, computer science, or physics is expected, along with education in genomics and basic biology. The candidate should have a strong methodological expertise in the areas of computational biology, with preference for exceptional talents in any of the following high priority areas: 1) spatial modeling for single cell proteomics/RNA-seq data; 2) computational integration of a variety of omics data (e.g., gene expression, DNA methylation, HiC/HiChip/ATAC, chromatin accessibility data) for functional genomics predictions; 3) models for predicting structural and dynamic protein actions. Success will be measured by securing extramural funding as a co-PI or PI, providing scientific expertise and leadership in multidisciplinary teams, national scientific leadership and initiatives, and educational contributions.
Please visit our website (jobs.mayoclinic.org/job/rochester/open-rank-faculty-position-in-computational-biology-career-scientist/33647/48041848800) 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.