Visiting Researcher
About The Position
The Norman Lab, housed in the Department of Biomedical Informatics at the University of Colorado Anschutz Medical Campus, is seeking a Visiting Researcher with deep expertise in genome graph construction and interpretation, complex genomic architecture of the human MHC, and de novo DNA sequence assembly. In this role, the researcher will design, optimize, and maintain advanced algorithms for assembling sequences within the human MHC genomic region and apply these computational methods to large‑scale disease association studies. The position offers the opportunity to contribute to high‑impact research at the intersection of immunogenomics, computational biology, and human disease. Visiting Researcher position is a full‑time, two‑year appointment with the possibility of extension depending on funding and program needs.
Requirements
- Master’s Degree in Physics or other relevant subject
- Expertise in the complex genomic architecture of the human MHC
- Expertise in genome graph construction and interpretation.
Nice To Haves
- Experience in De-novo assembly methods for DNA sequence data
- Expertise in Python and C++ programming and Linux scripting.
- Post graduate continuing education in bioinformatics.
- Reliable, punctual, and motivated in his or her work.
- Attention to details, diligence in data recording/documentation, strict adherence to established assay protocols and laboratory policies/procedures, strong organizational skills
Responsibilities
- Collaborate with and support Principal Investigators (PI) and other researchers in the area of bioinformatics and data analysis
- Develop, optimize and maintain algorithms for assembly of human MHC genomic region sequences
- Develop, optimize and maintain genomic graph representation for population-scale analysis of MHC genomic variation
- Perform annotation of MHC region genes and variants; submit to public databases
- Apply methods to high-throughput disease association studies
- System administration of Norman lab Linux-based servers
- Present research in progress at lab meetings, project meetings, and individual PI meetings
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
11-50 employees
