Research - Laboratory/Non-Laboratory, Staff/Administrative
The Institute for Health Informatics at the University of Minnesota invites applications for a Postdoctoral Associate position from candidates with a Ph.D or equivalent degree in bioinformatics or related disciplines. The translational genomics and bioinformatics group directed by Dr. Steven S. Shen, M.D., Ph.D., is seeking outstanding scientists who are interested in working in a research program studying the genome wide mapping of epigenetic elements and the mechanism of gene expression regulation in mammal.
The ideal candidate should have experience in bioinformatics and computer programming, especially NGS data analysis. Familiarity with public DNA/RNA sequencing data repository will be needed to study the distribution of genome-wide epigenetic elements and the correlation with gene expression control. The candidate must have the ability to define research questions and develop experiment designs to address those questions. The candidate should have experience presenting research results through publications and presentations.
Job Duties/Responsibilities: • Develop research questions based on genome-wide distribution of epigenetic elements and the control mechanism of gene expression (20%) • Collect data (20%) • Analyze data (30%) • Write manuscripts for publications (15%) • Collaborative research projects (15%)
Minimum/Required qualifications • PhD in bioinformatics, computer science, mathematics, or related science field • Expertise in DNA/protein sequencing data, NGS data, genomics and epigenetic data analysis • Excellent interpersonal skills and ability to work collaboratively with others • Excellent oral and written communication skills
Preferred qualifications • Experience working with gene expression profiling, DNA and histone methylation • Experience in genome wide DNA and histone marker discovery • Experience in machine learning technology • Experience statistical analysis of experimental data • Record of presenting research results through publications and conference abstracts
Internal Number: 326907
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