Working Title: Bioinformatics Analyst
Position Type: University Managerial and Professional Staff
Department: School of Medicine, SOM Core Facilities
Posting Date: 02-20-2018
The UVa School of Medicine's Office of Research Core Administration seeks a Bioinformatics Analyst. The 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.
The Office of Research Core Administration supports research cores in the School of Medicine which were established to make research more efficient and cost effective. The cores allow the presence of specialized instruments and personnel that individual laboratories cannot afford. Personnel in the cores provide expertise on the capabilities of their instruments and services and develop new applications for their techniques. The cores provide training and support for user operated instruments.
Qualified candidates must have at least a Master's degree in Bioinformatics, Genomics, Biostatistics, or related field. In addition, qualified candidates will have at least five years of experience collaborating with research scientists in performing bioinformatics/genomics data analysis. PhD and three years collaborative experience beyond postdoc can substitute for years of experience.
Required Knowledge, Skills and Abilities:
- Strong knowledge of working in a Unix/Linux environment and experience with high-performance computing.
- Advanced proficiency with R/Bioconductor, RMarkdown, and the "tidyverse" tools for data analysis.
- Proficiency with Python, Perl, or another scripting language.
- Experience with open-source software, tools, and databases for analyzing next-generation sequencing data (RNA-seq, ChIP-seq, DNA variation, epigenetics, microbiome, and metagenomics).
The analyst will work in an interdisciplinary environment to document workflows, consult with and communicate results to researchers who are not necessarily trained in bioinformatics, and contribute to grant and manuscript preparation; excellent written and oral communication skills are thus essential.
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