Bioinformatics Analyst Job in Georgia (GA), Higher-Ed/Education Career, Jobs in Emory University

Bioinformatics Analyst
Emory University – Atlanta, GA

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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.

Provide principal research support to the Principal Investigator in the implementation and completion of funded projects;
Plan and coordinate the advanced computational and statistical analysis of research projects providing technical expertise in novel and/or revised analytical methodologies and techniques and plan the processing and analysis of research data obtained;
Design analysis strategies to perform genomic, epigenomic and multi-omic analyses of large population databases;
Generate documentation related to analysis;
Assist in preparation of progress reports for funding agencies;
Co-author research papers and manuscripts for publication and collaborate in the development of posters and data presentations at conferences and workshops;
Complete additional research duties as assigned by the Principal Investigator.

A master’s degree in chemistry, biochemistry, bioinformatics or related field
Two years of experience in bioinformatics and/or computational chemistry

Master’s in Biostatistics, Bioinformatics, Epidemiology or an equivalent amount of experience to perform statistical analysis of high-throughput biomedical and health data.
Experience with analysis of large health science databases.
Demonstrated ability to participate in the design, execution, and analysis to study the genomics and epigenomics of human disease in large population-based samples.
Demonstrated interpersonal skills and oral and written communication.
R and/or Python programming experience, working knowledge of Unix/Linux file system and environment.
Ability to work independently with minimal oversight, and work effectively in teams.
Must have excellent communication, interpersonal and organizational skills.
Accuracy and attention to detail is required.

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