Clinical Molecular Research Informatics Analyst

Organization: 
University of Minnesota
Job Location: 
Minneapolis, MN
Salary: 
very competitive
Benefits: 

full benefits (medical, dental, generous retirement, dependent coverage) see: http://www1.umn.edu/ohr/benefits/

Job Description: 

As part of a joint initiative with the Department of Laboratory Medicine and Pathology (LM&P), the Research Informatics Support Systems (RISS) program within the University of Minnesota Supercomputing Institute (MSI) is hiring a full time bioinformatics analyst to support clinical molecular research at the University of Minnesota.

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:
• Serve as the primary analyst and developer for Clinical bioinformatics support for LM&P.
• Serve as a liaison and informatics analyst for the Department of Lab Medicine and Pathology (LM&P) faculty.
• Carry out consultative informatics services and research for LM&P faculty on primarily molecular clinical research endeavors.
o Design appropriate informatics strategies as required.
o Develop, prototype, and execute analytic workflows.
o Identify external resources that may be applied to challenges facing the interdisciplinary group.
o Help to integrate new molecular technologies as they become useful for clinical purposes (e.g., single-cell expression profiling)
o Appropriately document work conducted, both to comply with RISS reporting requirements, and to allow the preparation of any analytic reports required by the principal investigator of the project.

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. DNA SNP and structural variant detection, de novo sequencing, RNA-seq).

Requirements: 

Required

• 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)
• 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.

Preferred

• Research background in genomics, genetics, molecular biology or computational biology
• Research background in human or mammalian genetics strongly preferred
• 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.

Contact Information: 

Please apply at: employment.umn.edu/applicants/Central?quickFind=115049

About Our Organization: 

The relatively new RISS program (est. January 2011) 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 expanding RISS team, currently composed of five informatics analysts plus one existing partnered analyst with LM&P, and one proteomics analyst in partnership with the Center for Mass Spectrometry and Proteomics.