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Emory University Scientist, Asst Bioinformatics in Atlanta, Georgia



  • Under minimal supervision, the Assistant Scientist, Bioinformatics performs a wide range of highly technical and complex bioinformatics procedures.

  • Qualification for this position requires demonstrated expertise in designing and developing software, databases, and interfaces for analyzing and manipulating research data applications including expertise with simple programming using Perl/Python or Java, statistical programming, web-development, and database query through SQL.

  • This role collaborates with researchers to develop high throughput data processing and analysis capability.

  • Directs and guides database searches and the computational analysis of resulting data. Provides direct technical support and helps guide, implement, and maintain further improvements to bioinformatics software, databases, and interfaces and works with the entire bioinformatics team to diagnose and fix related issues.

  • May assist in grant and other funding applications, as necessary and appropriate.

  • Demonstrated ability to function as part of a team.

  • Performs other responsibilities as required.


  • PhD in bioinformatics, computer science, biological or physical science and three years of experience.

  • Experience prior to achieving the PhD will be considered.

Additional Details


The Bioinformatics Element of the Georgia Comprehensive Metabolomics and Proteomics Unit (CMP-GA) for Molecular Transducers of Physical Activity Consortium (MoTrPAC) and the Emory Integrated Computational Core (EICC) are seeking a highly motivated and talented bioinformatician/computational biologist to join the bioinformatics team at Emory University. The Bioinformatics Element of CMP-GA is responsible for working with the metabolomics and lipidomics labs to provide bioinformatics support, data management, data sharing with the informatics center, developing algorithms and computational workflows, developing and maintaining software, and analyzing and integrating high-throughput metabolomics and lipidomics 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 and lipidomics data. He/she will apply statistical and data mining techniques for biomarker discovery, pathway analysis, and integrating multi –omics data. He/she willpresent 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.


  1. Knowledge of statistical and data mining techniques such as PCA, hierarchical clustering, ANOVA, SVM, PLS, and LIMMA.

  2. Experience with R or other open source software packages for biological and statistical data analysis.

  3. Experience working with large –omics data (metabolomics, lipidomics, and/or transcriptomics).

  4. Familiarity with pathway enrichment and network analysis.

  5. Familiarity with MySQL/NoSQL and knowledge of relational databases.

  6. Familiarity with cloud computing (Amazon, Google)

  7. Expertise in systems biology and/or omics data analysis. Experience with metabolomics and lipidomics data is desired, but not required.

  8. Strong skills with statistical packages in R to discover patterns, trends, and groups within complex biological data.

  9. Experience with one or more programming languages: R, Python, Perl

  10. 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.

  11. Comfortable using both Linux and Windows platforms.

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Job Number 23775

Job Type Regular Full-Time

Division School Of Medicine

Department SOM: Core Labs

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