Sponsor: Rubicon Genomics
Recording Date: 2/19/2014
Recording Time: 1 hour
Outstanding faculty retirement, medical and dental benefits
As part of the University of Minnesota Supercomputing Institute (MSI), the Research Informatics Support Systems (RISS) program is hiring a full time bioinformatics analyst to support life sciences and interdisciplinary informatics research at the University of Minnesota. The newly created RISS program is designed specifically to foster cutting edge collaboration between bioinformatics analysts and life sciences researchers and to leverage the rich computational and knowledge environment offered by the MSI and the University. The successful applicant will join the RISS team composed of five informatics analysts and software architect.
Successful candidates will have excellent communication skills, a strong analytical/computational background combined with demonstrated life sciences analyses experience, be highly organized, and comfortable working as part of an interdisciplinary research team on multiple projects.
As part of an interdisciplinary team, the successful candidates will have the responsibilities to:
*work with the investigators to identify the research goals and analytical support needs
*design the appropriate informatics strategies
*identify and evaluate the resources and software requirements
*develop and prototype analytical pipeline solutions
*carry-out data analysis as needed
The ideal candidates will have advanced knowledge of next generation sequencing technologies with demonstrated practical experience in developing and carrying out analytical strategies in the context of NGS applications (e.g. RNAseq, ChIPseq, metagenomics, de novo sequencing).
• Masters Degree or higher in physical, engineering or computational sciences with 5+ years of bioinformatics experience or Doctorate (or equivalent experience) in the life sciences with significant programming experience.
• 3+ years of experience in the life sciences as primary or secondary research field
• Hands on experience in developing and carrying out data analytical strategies and pipelines in the context of genomics.
• Experience in handling and analyzing large data sets from high-throughput platforms such as Next-Generation-Sequencing is a must.
• Experience/general proficiency with use of web services, relevant programatic languages (e.g., perl, python, java) and statistical languages (e.g. R, SAS, MATLAB) plus currently used tools (e.g. BWA, TopHat, GATK, Cytoscape)
• Must be able to understand and translate life scientist researchers' scientific goals into analytical strategies and process requirements.
• Must be able to function as part of an interactive team while demonstrating self-initiative to achieve project's goals and group's mission.
• Excellent oral and written English communication and inter-personal skills
• Research background in genomics, genetics, molecular biology or computational biology
• Experience with Next Generation Sequencing genomics research applications, data analysis and data management
• Critical and independent thinking
• Strong general computational and programming skills (Perl, Python, Java, C/C++), database programming skills (MySQL, PostgreSQL, Oracle) and competence with UNIX shell environment.
• Data modeling skills are highly desirable.
For additional details and application instructions, please apply online at:
The University of Minnesota is an equal opportunity educator and employer.