Research Scientist in Computational and Functional Genomics - Center for Public Health Genomics

The Miller Laboratory at the University of Virginia (millerlab.org) seeks a research scientist with a background in molecular biology or genetics to apply functional genomic analyses to investigate inherited vascular diseases and cardiomyopathies. Available projects include the application of single-nucleus (e.g., snATAC/snRNA-seq, snCUT&Tag) and spatial (spatial transcriptomics, proteomics) genomic analyses of healthy and diseased subjects of ancestrally diverse backgrounds. Some of the specific goals of this work are to: 1) optimize scalable single-nucleus and spatial genomic technologies for fresh and archived human biospecimens, 2) apply targeted and systematic genome engineering approaches to perturb candidate regulatory elements or genes in relevant cellular models, and 3) work with collaborators to develop and optimize phenotypic screens for genetic and drug perturbations. There will also be opportunities to develop bioinformatics and computational skills through collaborations on multiple internal and external projects.

The Research Scientist will have access to a broad range of cutting edge wet-lab and computing resources, and will be exposed to a stimulating, multi-disciplinary and inclusive environment in the Center for Public Health Genomics (CPHG). This work will involve close collaborations with other CPHG labs to broaden training in both wet lab and computational biology skills. The candidate will also benefit from strong collaborations with faculty members in the Robert M. Berne Cardiovascular Research Center and Departments of Biomedical Engineering and Biochemistry and Molecular Genetics.

Qualifications:

• PhD in the life sciences (e.g., molecular biology, genetics, or related field) required in hand by appointment start date.
  
• Strong working knowledge of biomedical fields, human physiology/disease, cell biology and signaling.
  
• Excellent written and verbal communication skills are required, as well as the ability to work in a cross-functional team.
  
• Experience in human genetics or functional genomics is preferred.
  
• Some experience in bioinformatics or computational biology is preferred but not required.
  

The University will perform background checks on all new hires prior to employment. A completed pre-employment health screen is required for this position prior to employment.

TO APPLY:

Please visit UVA job board: https://uva.wd1.myworkdayjobs.com/UVAJobs and search forR0043628

Complete an application online and attach:

• CV
• Research Statement
• Contact information for 3 references

PROCESS FOR INTERNAL UVA APPLICANTS: Please apply through your Workday Home page, search “Find Jobs”, and search for R0043628

Upload all materials into the resume submission field, multiple documents can be submitted into this one field. Alternatively, merge all documents into one PDF for submission.

Applications that do not contain all required documents will not receive full consideration.

For questions about the application process, please contact Rhiannon O’Coin, Senior Academic Recruiter, rmo2r@virginia.edu .

To learn more about the position and the research please contact Dr.Clint Miller, clintm@virginia.edu

PHYSICAL DEMANDS

This position can spend extensive periods of time standing and squatting while conducting experiments or caring for animals. Also requires keyboarding and other bench work and animal procedures requiring finer finger manipulation.

COVID Vaccination Requirement and Guidelines

Please visitthe UVA COVID-19 Job Requirements and Guidelines webpageprior to applying for current information regarding vaccination requirementsandguidelines for employment at UVA.

The University of Virginia, i ncluding the UVA Health System which represents the UVA Medical Center, Schools of Medicine and Nursing, UVA Physician’s Group and the Claude Moore Health Sciences Library, are fundamentally committed to the diversity of our faculty and staff. We believe diversity is excellence expressing itself through every person's perspectives and lived experiences. We are equal opportunity and affirmative action employers. All qualified applicants will receive consideration for employment without regard to age, color, disability, gender identity or expression, marital status, national or ethnic origin, political affiliation, race, religion, sex (including pregnancy), sexual orientation, veteran status, and family medical or genetic information.