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Bioinformatics Analyst
Organization: Minnesota Supercomputing Institute, University of Minnesota
Job Location: Minneapolis, MN
Salary: very competitive, depends on background and qualifications
Benefits: Outstanding faculty retirement, medical and dental benefits
Job Description:
As part of an interdisciplinary team, the successful candidates will have the responsibilities to:
• Perform Consultative services
• Participate and lead most consultations with new Principle Investigators to identify their research goals and analytical support needs.
• Work with the researchers and optionally other RISS analysts to identify primary informatics support needs, appropriate resources and to provide guidance on the use of MSI analytical resources to support research.
• Draft new contracts for services.
• Engage in in-depth collaborative research
• Responsible for providing analytical support for projects.
• Design appropriate informatics strategies as required.
• Develop and prototype analytical workflows.
• Document work being done and assemble analytical report for client purpose.
• Contribute to MSI infrastructure
• Carry out activities associated with the improvement of the University and MSI Life Sciences Informatics Infrastructure.
• Identify and evaluate appropriate resources and software requirements, and contribute to resources documentation processes.
• Assist User-Support Services with software documentation.
• Assist other MSI groups with guidance when expertise is needed.
• Foster outreach
• Preparation and delivery of RISS tutorials.
• Handle analysis-oriented RT tickets as required.
• Keep up-to-date with major trends and developments in the field via web searches, journal articles, attending seminars and an annual scientific meeting.
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, ChIP-seq).
Requirements:
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.
Required Qualifications:
• PhD 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 Qualifications:
• 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.
Contact Information:
Please apply directly at the U of M Employment site at:
employment.umn.edu/applicants/Central?quickFind=115478
About Our Organization:
The Research Informatics Support Systems (RISS) program within the University of Minnesota Supercomputing Institute (MSI) is hiring a full time bioinformatics analyst to support systems biology and biomolecular research at the University of Minnesota.
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 the Department of Lab Medicine and Pathology, and one proteomics analyst in partnership with the Center for Mass Spectrometry and Proteomics.
The University of Minnesota is an equal opportunity educator and employer.
Organization: Minnesota Supercomputing Institute, University of Minnesota
Job Location: Minneapolis, MN
Salary: very competitive, depends on background and qualifications
Benefits: Outstanding faculty retirement, medical and dental benefits
Job Description:
As part of an interdisciplinary team, the successful candidates will have the responsibilities to:
• Perform Consultative services
• Participate and lead most consultations with new Principle Investigators to identify their research goals and analytical support needs.
• Work with the researchers and optionally other RISS analysts to identify primary informatics support needs, appropriate resources and to provide guidance on the use of MSI analytical resources to support research.
• Draft new contracts for services.
• Engage in in-depth collaborative research
• Responsible for providing analytical support for projects.
• Design appropriate informatics strategies as required.
• Develop and prototype analytical workflows.
• Document work being done and assemble analytical report for client purpose.
• Contribute to MSI infrastructure
• Carry out activities associated with the improvement of the University and MSI Life Sciences Informatics Infrastructure.
• Identify and evaluate appropriate resources and software requirements, and contribute to resources documentation processes.
• Assist User-Support Services with software documentation.
• Assist other MSI groups with guidance when expertise is needed.
• Foster outreach
• Preparation and delivery of RISS tutorials.
• Handle analysis-oriented RT tickets as required.
• Keep up-to-date with major trends and developments in the field via web searches, journal articles, attending seminars and an annual scientific meeting.
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, ChIP-seq).
Requirements:
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.
Required Qualifications:
• PhD 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 Qualifications:
• 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.
Contact Information:
Please apply directly at the U of M Employment site at:
employment.umn.edu/applicants/Central?quickFind=115478
About Our Organization:
The Research Informatics Support Systems (RISS) program within the University of Minnesota Supercomputing Institute (MSI) is hiring a full time bioinformatics analyst to support systems biology and biomolecular research at the University of Minnesota.
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 the Department of Lab Medicine and Pathology, and one proteomics analyst in partnership with the Center for Mass Spectrometry and Proteomics.
The University of Minnesota is an equal opportunity educator and employer.