Emory University Bioinformatics Analyst in Atlanta, Georgia
JOB DESCRIPTION: 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.
MINIMUM QUALIFICATIONS: A master's degree in chemistry, biochemistry, bioinformatics or related field. Two years of experience in bioinformatics and/or computational chemistry.
Clinical Biomarkers Laboratory () in the Department of Medicine at Emory University is seeking a highly motivated and creative bioinformatician/computational biologist to join the computational metabolomics team.
This multidisciplinary team is responsible for developing algorithms and computational workflows, developing and maintaining software, and analyzing high-throughput metabolomics data using a variety of state-of-the-art statistical and data mining techniques for biomarker discovery and systems biology. This position will contribute to the development and application of computational workflows for processing, analyzing, and visualizing “BIG” metabolomics data. He/she will apply statistical and data mining techniques for biomarker discovery, pathway analysis, and integrating multi –omics data. He/she will present the models in a form that allows users to make decisions concerning the direction of an experimental program. This position will provide opportunities for multiple publications, cross-disciplinary collaborations and experience in integrating metabolomics data with clinical outcomes and other –omics data. Performs related responsibilities as required.
Expertise in systems biology and/or omics data analysis.
Strong skills with statistical packages in R to discover patterns, trends, and groups within complex biological data.
Experience with one or more programming languages: R, Python, Perl
Strong communication skills (both verbal and written) and interpersonal skills to clearly and concisely convey objectives and results to a diverse audience including clinicians, biochemists, computational biologists, molecular biologists, and toxicologists. Able to multitask and thrive in a fast paced, dynamic, project-driven work environment.
Comfortable using both Linux and Windows platforms.
Knowledge of statistical and data mining techniques such as PCA, hierarchical clustering, ANOVA, SVM, PLS, and LIMMA.
Experience with R or other open source software packages for biological and statistical data analysis.
Experience working with large –omics data (metabolomics and/or transcriptomics).
Familiarity with pathway enrichment and network analysis.
Familiarity with MySQL/NoSQL and knowledge of relational databases.
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Job Number 33407
Job Type Regular Full-Time
Division School Of Medicine
Department SOM: Medicine: Pulmonary
This position may involve the following Health and Safety issues: Not Applicable
Job Category Laboratory
Emory University is an equal opportunity/equal access/affirmative action employer fully committed to achieving a diverse workforce and complies with all applicable Federal and Georgia State laws, regulations, and executive orders regarding nondiscrimination and affirmative action in its programs and activities. Emory University does not discriminate on the basis of race, color, religion, ethnic or national origin, gender, genetic information, age, disability, sexual orientation, gender identity, gender expression, and veteran's status. Inquiries about this statement should be directed to the Office of Equity and Inclusion, 201 Dowman Drive, Administration Bldg, Atlanta, GA 30322
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