DESCRIPTION

Mayo Clinic in Rochester, MN is seeking a Research Fellow for Dr. Abryzov in the Health Science Department. Qualified candidates will demonstrate the potential for research as evidenced by their training and peer-reviewed publications. The research fellow at Mayo Clinic is a temporary, one to three year position whose project choice will depend on the applicant's interest and skills but requires that the research be purely computational. Potential computational biology fields include: individual/population human omics, cancer omics, single cell analysis, somatic mosaicism, and the analysis of next-generation sequencing data. Specific sub-areas of interest are discovery and the functional annotation of human genomic variants such as SNPs, SNVs, indels, structural variations, retrotranspositions, etc. Oral and written proficiency in English is also a big plus.

The ideal applicant will have a Ph.D. in computational biology or bioinformatics combined with experience in one of the aforementioned research areas. He/She should also be skilled in programming and using computers to solve problems (e.g. C++/Java, Python/Perl, R/ROOT, etc.).

Mayo Clinic is a nonprofit organization with approximately 3,800 scientists and physicians working in a unique environment that brings together the best in groundbreaking basic and translational research, patient care, and education. Mayo Clinic is an excellent choice for the candidate who is seeking a career in a world-class academic medical center. Postdocs are offered substantially higher compensation than NIH minimum, possibility of promotion in a few years, and exceptional benefits. For more information visit the following links:

http://mayoresearch.mayo.edu/center-for-individualized-medicine
http://www.mayo.edu/research/centers-programs/cancer-research
http://www.mayo.edu/research/centers-programs
http://www.mayo.edu/research/departments-divisions/department-health-sciences-research/overview
http://www.mayo.edu/research/departments-divisions/department-health-sciences-research/division-biomedical-statistics-informatics/overview

HOW TO APPLY

To learn more and apply, please copy and paste the following URL into your browser: http://mayocl.in/1jURWHi

POLICY

Mayo Clinic is an affirmative action / equal opportunity educator and employer.