Emory University (Atlanta, GA)
Job Requisition ID: 61478BR
Department: 821200:YRK: Microbiology & Immunology
Operating Unit/Division: Yerkes National Primate Research Center
Job Title: Bioinformatics Analyst
Full/Part Time: Full-Time
Maintains software, hardware and the network in a bioinformatics setting or molecular modeling laboratory. Supervises regular updates and recommends state-of-the-art enhancements. Analyzes high throughput screening data and performs structure activity analyses to generate predictive correlations. Applies a limited range of molecular modeling tools to refinement of high throughput screening hits. Presents the models in a form that allows users to make decisions concerning the direction of an experimental program. Performs related responsibilities as required.
Additional Job Details:
A full-time Bioinformatics Analyst position is available at Emory University and the Yerkes National Primate Center in the Division of Microbiology and Immunology in Atlanta. The position will be part of a funded project to analyze B and T cell single-RNA-Seq data, and to develop novel software code to analyze T cell and B cell antigen-receptor sequences. Additionally, the position will involve the study of several immune cellular subsets in HIV and SIV infection using RNA-Seq.
The position will entail analyzing:
- Single-cell RNA-Seq data
- RNA-Seq data in models of HIV and SIV infection
- T lymphocyte and B lymphocyte repertoire sequences
- data from other Next Generation Sequencing applications
- development of novel software code and scripts to analyze T cell and B cell receptor sequences
- A master’s degree in chemistry, biochemistry, bioinformatics or related field. Two years of experience in bioinformatics and/or computational chemistry.
- Applicants should have a background that includes strong computer science and/or bioinformatics skills and an advanced degree in computational biology, bioinformatics or a related computer science discipline. A background in Immunology, Virology or HIV-research is also an asset but not necessary.
- The position will allow for successful applicants to obtain any necessary additional computational training to complete the project.
- The position will also offer the opportunity to write and publish several manuscripts from this and other projects.
- Demonstrable experience writing code to solve biological problems
- R/Bioconductor proficiency highly preferred
- Experience working with RNA-SEq is a significant strength
- Programming experience in C/C++, Python, Java or PERL is a significant plus
- Excellent communication and scientific writing skills
- Motivation to turn data into manuscripts.