Postdoctoral Research Associate in Cardiovascular Genomics, University of Virginia
- University of Virginia
- Location: Charlottesville, VA
- Job Number: 7123094
- Posting Date: Feb 6, 2023
- Application Deadline: Open Until Filled
Job Description
The Miller Laboratory at the University of Virginia (millerlab.org) seeks a talented postdoctoral research associate with a background in the life sciences or a quantitative field to apply systems genomics approaches to investigate mechanisms of inherited vascular diseases. Available projects include the generation and analysis of single-nucleus (e.g., snATAC/snRNA-seq, scCUT&Tag), and spatial (e.g., spatial transcriptomics, proteomics) datasets from healthy and diseased subjects of ancestrally diverse backgrounds. The candidate will also contribute to genomic perturbation based functional screens to validate these discoveries in cell models. The overall goals of this work are to contextualize rare and common genetic variation associated with cardiovascular diseases to inform early-stage detection and prevention. There will also be opportunities to classify common disease subtypes using machine learning approaches and identify clinically relevant drug targets/biomarkers for vascular diseases.
The candidate will have access to a broad range of population genetic and genomic datasets through consortia projects (e.g., TOPMed, CHARGE, MESA, Leducq PlaqOmics and Chan Zuckerberg Initiative), high performance 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 highly desirable wet lab and computational biology skills. The candidate will also benefit from strong collaborations with faculty members in the Cardiovascular Research Center and Departments of Biomedical Engineering and Biochemistry and Molecular Genetics.
Candidates must have a PhD in a life sciences or quantitative field (required in hand by appointment start date). Experience in statistics or genetics is desired, including proficiency in R, python (or other scripting languages). The successful candidate will also have a strong working knowledge of biomedical fields such as human genetics, molecular/cell biology, physiology etc. Excellent written and verbal communication skills are required, as is the ability to work in a cross-functional team. As the project progresses, there will be ample opportunities to present in national and international scientific meetings. The candidate will also be strongly encouraged to apply for internal and external grant and fellowship opportunities.
To apply or find out more information, please contact Dr. Clint L. Miller (clintm at virginia dot edu) and applicants should attach the following: current CV (include brief statement of research interests) and contact information for three references. The position will remain open until filled. Continuation of the position is contingent on performance and funding.
The University of Virginia is an equal opportunity/affirmative action employer. Women, minorities, veterans, and persons with disabilities are strongly encouraged to apply.
The candidate will have access to a broad range of population genetic and genomic datasets through consortia projects (e.g., TOPMed, CHARGE, MESA, Leducq PlaqOmics and Chan Zuckerberg Initiative), high performance 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 highly desirable wet lab and computational biology skills. The candidate will also benefit from strong collaborations with faculty members in the Cardiovascular Research Center and Departments of Biomedical Engineering and Biochemistry and Molecular Genetics.
Candidates must have a PhD in a life sciences or quantitative field (required in hand by appointment start date). Experience in statistics or genetics is desired, including proficiency in R, python (or other scripting languages). The successful candidate will also have a strong working knowledge of biomedical fields such as human genetics, molecular/cell biology, physiology etc. Excellent written and verbal communication skills are required, as is the ability to work in a cross-functional team. As the project progresses, there will be ample opportunities to present in national and international scientific meetings. The candidate will also be strongly encouraged to apply for internal and external grant and fellowship opportunities.
To apply or find out more information, please contact Dr. Clint L. Miller (clintm at virginia dot edu) and applicants should attach the following: current CV (include brief statement of research interests) and contact information for three references. The position will remain open until filled. Continuation of the position is contingent on performance and funding.
The University of Virginia is an equal opportunity/affirmative action employer. Women, minorities, veterans, and persons with disabilities are strongly encouraged to apply.
