Research Associate

Location
Charlottesville, VA
Posted
May 22, 2017
Institution Type
Four-Year Institution

Working Title: Research Associate

Position Type: Professional Research Staff

Department: Department of Neuroscience

Location: Charlottesville

Posting Date: 07-26-2016

Posting Summary:
The Department of Neuroscience at the University of Virginia is seeking a Research Associate to develop and use systems biology approaches to study the complex interplay between the nervous and immune systems in neurological disorders. The position is in the Kipnis laboratory within the center for Brain Immunology and Glia (https://med.virginia.edu/big/) and under the supervision of Drs. Jonathan Kipnis and Christopher Overall. The center is at the forefront of neuroimmunology, with excellent experimental labs, which will give the incumbent a singular opportunity to tightly couple computation with experiment. One example project is to use single cell sequencing to identify subpopulations of immune and neurological cells in a mixed (heterogeneous) sample and to characterize their differences and interactions.

The Kipnis lab is a member of a dynamic Center for Brain Immunology and Glia (BIG), equipped with state-of-the-art facilities and equipment, and surrounded by highly collaborative groups, and members of the center, with interests ranging from brain infections to demyelination in Multiple Sclerosis and autism. The University of Virginia is located in picturesque and historical Charlottesville, with outstanding schools and affordable housing, and is less than two hours from Washington, DC and only an hour away from Richmond, VA. Salaries and benefits that will be offered to the right candidates are highly competitive.

Qualified candidates must have a PhD in Bioinformatics, Computational Biology, Biostatistics, or a related field, and ideally, a background in immunology and/or neuroscience. Proficiency in Linux and programming (preferably R/Bioconductor and Python) is required, as is substantial experience with analyzing 'omics data, such as transcriptomics (RNA-seq and microarrays), protein-DNA binding (e.g., ChIP-seq), DNA methylation, and DNA variation. Also, the candidate should have at least a basic knowledge of predictive modeling techniques. Finally, the candidate must have first author publications in peer reviewed scientific journals and effective oral and written communication skills.

To apply, visit https://jobs.virginia.edu and search on Posting Number 0619246. Complete a Candidate Profile on-line; attach a CV, cover letter, and contact information for three references. The positions will remain open until filled.

The University of Virginia is an equal opportunity and affirmative action employer. Women, minorities, veterans and persons with disabilities are encouraged to apply.


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