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Opportunity: Open Rank Faculty Position in Computational Biology (Career Scientist) @ Mayo Clinic -- Rochester, MN (US)
Submitted by zhifu sun; posted on Tuesday, May 30, 2023
BACKGROUND
The Division of Computational Biology leads research in statistical genomics, bioinformatics and computational biology, developing and applying innovative analytical techniques for biomedical discovery and translational research across a range of medical conditions. Our 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.
Mayo Clinic has been recognized as the best hospital in the nation (U.S. News & World Report 2022-2023) and is ranked #1 in more specialties than any other care provider. With a 73,000-person workforce, Mayo Clinic cares for more than 1.3 million people each year with serious or complex illnesses from all 50 U.S. states and 130 countries. Mayo Clinic is the largest not-for-profit, multidisciplinary academic medical center in the world with over 4,000 physicians and scientists in an integrated multi-campus system spanning the globe.
We support a vibrant and diverse research enterprise, with programs in basic, translational, clinical, population, and data sciences. In 2021, the institution received over $604 million in extramural research awards, supplemented with over $408 million of institutional support. Laboratories and shared resource facilities are state-of-the-art, including those for microscopy and imaging, cell and molecular biology, animal models, production of iPS cells and clinical grade MSCs, biomedical engineering and mathematics, materials testing, a Medical Genomics Facility, a Mouse Modeling Facility, Molecular and Microscopic Core Facilities, and unique Human Disease Tissue Banks. Mayo Clinic supports innovation and has a wealth of resources available – including an integrated health record.
Mayo Clinic offers a highly competitive compensation package with substantial long-term institutional and departmental support for salary, personnel, equipment, and travel as well as a competitive startup package all designed to ensure immediate and continued success of the candidate. Additional benefits for faculty at Mayo Clinic include intramural funding opportunities for research and innovation. We provide an outstanding, comprehensive benefits package that includes plenty of options for medical, dental and vision care; flexible spending accounts; life insurance; short- and long-term disability coverage; travel allowance; generous time away; and more! We are proud to be among the few U.S. companies to provide a pension benefit at no cost to employees plus you can add the Mayo 403(b) plan which features an employer match.
Mayo Clinic is located in the heart of downtown Rochester, Minnesota, a dynamic city just 90 minutes south of the Twin Cities of Minneapolis and St. Paul – Mayo Clinic has been safely caring for patients from around the world for more than 100 years. The city is consistently ranked among the best places to live in the United States because of its affordable cost of living, healthy lifestyle, excellent school systems and exceptionally high quality of life. Rochester is changing to become the world's premier destination medical center as new buildings fill the skyline that pave the way for initiatives that are unleashing fresh possibilities and make the city a fantastic place to learn, live and play.
RESPONSIBILITIES
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.
REQUIREMENTS
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.
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