Research Associate

University of Virginia - Charlottesville, VA4.1

Full-time
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The Bioinformatics Core in the UVA School of Medicine in partnership with the laboratory of Francine E. Garrett-Bakelman, MD, PhD, in the Department of Biochemistry and Molecular Genetics is seeking a post-doctoral Research Associate, with responsibilities of a Bioinformatics Analyst. The incumbent will be co-mentored by the PI in both groups.

Bioinformatics Core laboratory: The analyst will work closely with the core director, Dr. Stephen D. Turner, 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.

Dr. Bakelman's laboratory focuses on addressing key biological questions about molecular abnormalities (genetic and epigenetic) which contribute to the pathogenesis of Acute Myeloid Leukemia. The analyst will be expected to execute and interpret integrative analyses of large datasets generated from clinical and functional genomics experiments. Analyses will be expected to be implemented through developing and applying computational pipelines focused on next generation sequencing and other large-scale datasets. The work performed will be collaborative with members of the laboratory and PIs at UVA and other institutions. The work will be performed under the supervision of Dr. Bakelman in collaboration with computational biologists at UVA. The applicant would join a thriving and highly interactive research team of cancer biologists, hematologists, and computational biologists.

Required qualifications:
1. PhD in bioinformatics, computer science, computational biology, biostatistics or related field by the start date. PhD candidates in their final year of study are welcome to apply.
2. Demonstrated expertise in bioinformatics, scientific computing, and genomic data analysis using computational and statistical tools
3. A minimum of two years' experience with large-scale computational and statistical analyses, and analysis of gene expression and epigenomics data using R and/or Python or other languages.

Required skills:
1. Advanced proficiency with Unix/Linux environment, R/Bioconductor, RMarkdown, and the "tidyverse" tools for data analysis.
2. Proficiency with Python, Perl, or another scripting language.
3. Experience with open-source software, tools, and databases for analyzing next-generation sequencing data (RNA-seq, ChIP-seq, DNA variation, epigenetics, microbiome, and metagenomics).
4. Excellent written and oral communication skills are essential for expected interdisciplinary and collaborative projects and contributions to grant and manuscript preparation

To apply, visit https://jobs.virginia.edu/applicants/Central?quickFind=85325 and search on Posting Number 0623902. Complete a Candidate Profile on-line; attach a CV, cover letter, contact information for three references and a statement of Research Interest. Applicant review will begin September 5, 2018, and the position will remain open until filled.

For further information about the position, or for questions regarding the application process, please contact Pam Sprouse at pfs2h@virginia.edu or 434-924-5832.

Closing Date:
Open Until Filled

Required Applicant Documents:
CV / Resume
Cover Letter
Contact information for 3 References - name, email, phone
Statement of Research Interest

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jobs.virginia.edu/applicants/Central?quickFind=85325

Faculty, Professional Research Staff and University Staff - Executive

Tenure Status:Rank:
Research Associate

Appointment Type:
Professional Research Staff
Academic Year for Position? (e.g. 2015)

2018