Research Associate, Department of Genome Sciences

UVA Health

8d • Onsite

About The Position

The Onengut Lab in the Department of Genome Sciences at the University of Virginia is seeking an independent, highly-motivated PhD-level scientist with a strong background in the biology and analysis of single cell genomic datasets. The successful candidate will work on dissecting pathways which lead to increased susceptibility to type 1 diabetes. We use genetics, molecular biology, and bioinformatics to understand how genomic loci associated with type 1 diabetes function at the molecular level and as part of a network of other genes to regulate islet autoimmunity. The project involves generating data from longitudinally collected human peripheral blood mononuclear cell at single cell level (CITE-seq) across individuals. As part of this effort, we are looking for a highly motivated individual with a background in human biology, single cell genomics, and computational biology to lead research efforts within this project. This position and work are funded by a recent R01.

Postdoctoral employment is temporary and is normally limited to an individual who has been awarded a Ph.D. or equivalent doctorate within the previous five years and who will be involved in full-time research or scholarship at the University. Employment as a Postdoctoral Research Associate is viewed as training and is preparatory for a full-time academic or research career, is supervised by a senior scholar, and allows the appointee to publish the results of his/her research or scholarship during the training period.

Requirements

• PhD in Computational Biology, Bioinformatics, Genetics, or a related field

Nice To Haves

• Strong background in data analysis.
• Experience with single-cell RNA, CITE-seq and/or multiome-sequencing data, molecular biology, and analyses that integrate genomic variations
• Analysis of large datasets
• Interest in human genetics and autoimmune disorders
• A solid background in both programming and biology
• Enthusiastic team player with excellent communication skills

Responsibilities

• Implement computational approaches to analyze, integrate, and interpret genomic data, particularly whole genome sequencing data, single-cell RNA-seq and single-cell cell surface protein-seq (CITE-seq)
• Utilize an array of computational approaches to understand the role T1D risk variants play in initiation and progression of autoimmunity
• Collaborate with a multidisciplinary team to advance our understanding of autoimmune disorders
• Be responsible for communicating results to the scientific community through conference presentations and publications

Benefits

• Salary will be commensurate with education and experience.
• This is an exempt-level, benefited position. Learn more about UVA benefits.
• This is a restricted position, which is dependent on funding and is contingent upon funding availability.
• This is a 12-month appointment with the possibility of renewal contingent upon satisfactory performance and the availability of funding.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree