About the Position
The University of Minnesota Supercomputing Institute (MSI) is hiring a full time informatics analyst to support biological research projects in coordination with the Institute for Translational Neuroscience and Department of Neuroscience. The successful applicant will join the well-established Research Informatics Solutions (RIS) team, composed of eleven PhD-level informatics analysts. The RIS team fosters cutting-edge collaboration between bioinformatics analysts and life sciences researchers and leverages the rich computational and knowledge environment offered by MSI and the University.
Successful candidates will have excellent communication skills and a strong analytical/computational background combined with demonstrated life sciences analysis experience. Job tasks will necessitate a high degree of organization and comfort working as part of an interdisciplinary research team on a diverse set of projects. RIS analysts are frequently expected to work independently to identify combinations of existing tools to address novel analysis requests, and in some cases develop new tools to bridge gaps in the domain literature.
As part of an interdisciplinary team, the successful candidate is expected to:
- Serve as a primary analyst and developer focused on the analysis needs of the Institute for Translational Neuroscience and Department of Neuroscience
- Serve as a liaison between the Neuroscience community and the resources at MSI
- Carry out consultative informatics services and research with researchers and faculty
- Design and develop appropriate informatics strategies as required
- Develop, prototype, and execute analytic workflows
- Appropriately document work conducted, both to comply with RIS reporting requirements, and to allow the preparation of any analytical reports required by the principal investigator of the project
The ideal candidate will have advanced knowledge of high-throughput sequencing technologies with demonstrated practical experience in developing and carrying out analytical strategies. Ideal areas of experience include the analysis of gene expression derived from RNA-seq, SNPs, and structural variants derived from DNA-seq, and either dataset derived from emerging single cell methodologies.
- Doctorate in computer science with significant bioinformatics experience, or doctorate in the life sciences with significant informatics experience.
- 2+ years of work 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 datasets from high-throughput generation processes, such as DNA/RNA sequencing, .
- Experience and general proficiency with a statistical language (e.g. R, MATLAB) plus currently standard genomics tools (e.g. BWA, Hisat2, FreeBayes)
- Ability to understand and translate life scientist researchers' scientific goals into analytical strategies and process requirements
- Ability 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 interpersonal skills
- Ability to begin employment within 6 weeks of offer
- Strong general computational and programming skills (Perl, Python, Java, C/C++ or similar) and competence with UNIX shell environment
- Research background in genomics, genetics, molecular biology, or computational biology
- Research background in human or mammalian genetics preferred
- Critical and independent thinking
- Data modeling skills are highly desirable
Applications must be submitted online. The Job ID for this position is 327194.
If you are not a current University of Minnesota employee, please use this link: Non-employee link.
If you are a current University of Minnesota employee, please use this link: Employee link.
Visit the University of Minnesota Employment site for complete instructions.