Doctorate (or equivalent experience) in the life sciences with significant programming experience or Doctorate in physical, engineering or computational sciences with experience in biological research or biological research problems
3-6 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 with use of web services, genomics staples analytic tools (e.g. R, SAS, MATLAB) and currently used tools (e.g. BWA, TopHat, ABySS, GSEA, 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
*Must be able to begin employment within 6 weeks of offer.
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.
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 solution.
? 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).
See msi.umn.edu for details.
Please apply online via the Employment System at
https://employment.umn.edu/applicants/Central?quickFind=109284 And please attach a resume and cover letter
Offers of employment are contingent upon the successful completion of a background verification
Does this position require a background check?
University of Minnesota - 23 months ago
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