Job location: Charlottesville, VA
Employment Type: Full-time
Posted data: 2021-04-29
The Bioinformatics Analyst will work closely with the core director and other staff to assist in experimental design and provide expert consultation, technical, and scientific support for UVA investigators, and assist in outreach and training activities. The analyst will identify opportunities and implement solutions for managing, visualizing, analyzing, and interpreting genomic data using high-throughput sequencing data in human, model organisms, and microorganisms. The successful candidate will have a demonstrated ability to translate biological questions into technical designs, and to identify, prioritize, and execute bioinformatics tasks to meet project goals and deadlines. The analyst will participate in meetings and consultations with clients to discuss design and interpretation, and will assist in manuscript and grant preparation. Eligibility to hold a US Government security clearance is preferred.
The successful candidate will be responsible for:
- Organizing and managing large-scale sequencing data sets
- Manipulating and formatting data with python, perl, UNIX tools
- Using established open-source software and tools to assess quality and analyze data
- Running analyses on a high-performance computing cluster
- Using Unix or a scripting language to extract meaningful results from output
- Using software or genome browsers for visualization
- Using established databases and techniques for annotating genetic variants and results from expression/epigenetics experiments
- Consulting with UVA investigators on experimental design, results interpretation, and grant and manuscript preparation
- M.S. in Bioinformatics, Genomics, Biostatistics, or a related field.
- Ph.D. in Bioinformatics, Genomics, Biostatistics, or a related field
- M.S. + 5 years’ experience or PhD + 3 years’ experience
- Strong knowledge of working in a Unix/Linux environment and experience with high-performance computing.
- Advanced proficiency with R/Bioconductor and Python.
- Experience with open-source software, tools, and databases for analyzing next-generation sequencing data (RNA-seq, ChIP-seq, DNA variation, epigenetics, microbiome, and metagenomics).
For further information regarding the application process, please contact, Greg Haskins via email at GPH3Z@virginia.edu
To apply please visit UVA job board https://uva.wd1.myworkdayjobs.com/UVAJobs, and search for "R0024096" Complete the application and see below for documents to attach. Please note that multiple documents can be uploaded in the CV/Resume box.
Required Application Materials:
- Cover Letter
- Contact information for 3 references
The selected candidate will be required to complete a background check at time of offer per University Policy.
The University of Virginia, including 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.