Discover Your Career at Emory University

Emory University is a leading research university that fosters excellence and attracts world-class talent to innovate today and prepare leaders for the future. We welcome candidates who can contribute to the diversity and excellence of our academic community.

Description

This position is for an analyst who will work with whole genome sequence, RNA-sequencing, and genomic datasets to study structural birth defects. The individual in this position will be responsible for managing and analyzing these data to answer specific research questions in conjunction with study investigators. Activities include: managing genomic and phenotypic datasets, preparing documentation, scripts, and tools, preparing genomic-specific variables, depositing data and documentation in databases, merging data and manipulating files, troubleshooting data issues, performing appropriate statistical tests, visualizing results, and communicating results with the PI and collaborators.

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 biology, biostatistics, chemistry, biochemistry, bioinformatics or related science or IT-based discipline; some student-related experience gained through formal Master's-level academic training.

PREFERRED QUALIFICATIONS:

• A Master’s degree in bioinformatics, biology, statistics, biostatistics, computer science, public health, human genetics, or a related field.
• The candidate should have demonstrable experience with genomic data.
• Proficiency in using R/Bioconductor, Plink, Linux command line, computational clusters or cloud environments is desirable.
• Excellent data management, programming, and communication skills are required.

NOTE: Position tasks are generally required to be performed in-person at an Emory University location. Remote work from home day options may be granted at department discretion. Emory reserves the right to change remote work status with notice to employee.

Emory Supports a Diverse and Inclusive Culture

Emory University is dedicated to providing equal opportunities and equal access to all individuals regardless of race, color, religion, ethnic or national origin, gender, genetic information, age, disability, sexual orientation, gender identity, gender expression, and veteran's status. Emory University does not discriminate in admissions, educational programs, or employment on the basis of any factor stated above or prohibited under applicable law. Students, faculty, and staff are assured of participation in University programs and in the use of facilities without such discrimination. Emory University complies with Executive Order 11246, as amended, Section 503 of the Rehabilitation Act of 1973, the Vietnam Era Veteran's Readjustment Assistance Act, and applicable executive orders, federal and state regulations regarding nondiscrimination, equal opportunity and affirmative action. Emory University is committed to achieving a diverse workforce through application of its affirmative action, equal opportunity and nondiscrimination policy in all aspects of employment including recruitment, hiring, promotions, transfers, discipline, terminations, wage and salary administration, benefits, and training. Inquiries regarding this policy should be directed to the Emory University Department of Equity and Inclusion, 201 Dowman Drive, Administration Building, Atlanta, GA 30322. Emory University is committed to providing reasonable accommodations to qualified individuals with disabilities upon request. To request this document in an alternate format or to request a reasonable accommodation, please contact the Department of Accessibility Services at 404-727-9877 (V) | 404-712-2049 (TDD). Please note that one week advance notice is preferred.