Postdoctoral Research Associate
About The Position
The Chong Laboratory seeks a highly motivated postdoctoral researcher interested in bioinformatics, computational genomics, and clinical genomics. The position is initially available for 2–3 years, with the possibility of extension. Projects will be tailored to each candidate’s interests, experience, and career goals. The laboratory develops computational methods and bioinformatics tools, with particular emphasis on long-read sequencing data from PacBio and Oxford Nanopore technologies. Research includes developing algorithms for structural variant detection, genome assembly, complex genomic rearrangements, and other applications of long-read sequencing. Short-read and single-cell sequencing data are also integrated when appropriate. Another major research direction applies computational and genomic approaches to large biomedical datasets to discover biological mechanisms and clinically relevant genomic alterations. The associate may lead research projects; develop computational methods and software; publish manuscripts; contribute to grant applications; mentor students and trainees; collaborate with computational, experimental, and clinical investigators; and present research at national and international conferences. Postdoctoral employment is temporary and normally limited to individuals awarded a Ph.D. or equivalent doctorate within the previous five years. The role involves full-time research or scholarship at the University and is supervised by a senior scholar. It is considered training in preparation for a full-time academic or research career, and the appointee may publish research results during the training period. The University of Virginia offers a collaborative research environment with biomedical and clinical resources through the UVA School of Medicine and UVA Health. Researchers have access to a multidisciplinary scientific community and advanced facilities supporting sequencing, genomics, bioinformatics, imaging, and other biomedical research.
Requirements
- Ph.D. or equivalent doctoral degree in bioinformatics, computational biology, genomics, computer science, statistics, genetics, biomedical sciences, or a related field.
- Strong quantitative, computational, communication, and scientific writing skills.
- Motivation to develop independent research projects while working collaboratively in a multidisciplinary environment.
Nice To Haves
- Experience with long-read sequencing, including PacBio and/or Oxford Nanopore.
- Experience in bioinformatics and computational genomics.
- Experience analyzing structural variants and complex genomic rearrangements.
- Experience with genome assembly.
- Experience in algorithm and software development.
- Experience with next-generation sequencing analysis.
- Experience in single-cell genomics.
- Experience in cancer and clinical genomics.
- Programming skills in Python, Perl, C/C++, Rust, R, or related languages.
Responsibilities
- Lead research projects.
- Develop computational methods and software.
- Publish manuscripts.
- Contribute to grant applications.
- Mentor students and trainees.
- Collaborate with computational, experimental, and clinical investigators.
- Present research at national and international conferences.
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
Ph.D. or professional degree
