The University of Minnesota Department of Microbiology and Immunology is hiring a full-time Bioinformatics Analyst. The analyst in this position will work across multiple lab groups to conduct cutting-edge bioinformatics analyses in close collaboration with a diverse set of biomedical labs within the Department of Microbiology & Immunology and partnering with labs in the University of Minnesota Institute on Infectious Diseases (UMIID).

The successful candidate will have the following responsibilities:

75% - Develop or integrate novel statistical methods and algorithms for analyzing large-scale data.

15% - Identify and integrate new, cutting-edge molecular technologies and analysis methods as they become useful for research and/or clinical purposes (e.g., single-cell expression profiling, long-read sequencing, 16S/microbiome-seq, spatial transcriptomics, ATAC-seq, methyl-seq, etc.).

5% - Appropriately document and present methods and results in both internal and external reports, publications, and presentations.

5% - Consult with UMIID partners on experimental design and planning.

Required Qualifications
Doctorate in the life sciences, computer science or engineering, or related field. Candidates must have significant bioinformatics experience.
3+ years of research/industry experience. 
Hands-on experience in developing and carrying out data analytical strategies and pipelines for analyzing datasets from high-throughput platforms such as next generation sequencing.
Proficiency with the Linux shell environment, a programming language (ideally R or python), and familiar with common bioinformatics tools (e.g. samtools, bwa, HISAT2, GATK, freebayes, Cell Ranger, Seurat, Markdown, etc.).
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 the project's goals and the group's mission.
Critical and independent thinking.
Excellent oral and written English communication and interpersonal skills.

Preferred Qualifications
Advanced statistical and data modeling skills.
Use of reproducible research methods and software version control (e.g. git/GitHub).
Experience using high performance computing (HPC) environments and job scheduling.

About University of Minnesota Twin Cities

The University of Minnesota, founded in the belief that all people are enriched by understanding, is dedicated to the advancement of learning and the search for truth; to the sharing of this knowledge through education for a diverse community; and to the application of this knowledge to benefit the people of the state, the nation, and the world.

Connections working at University of Minnesota Twin Cities