Emory University

Our labs study epigenetic and transcriptional programs that regulate immune responses using cutting edge molecular and cellular immunology approaches, genomics, and bioinformatics.. Specific projects include: i) the epigenetic regulation of memory B cell responses in murine influenza models; ii) B cell dysfunction in human autoimmune diseases; iii) the role of epigenetic modifying complexes and transcription factors in plasma cell differentiation, and iv) factors influencing MHC-II and PD-1 gene expression.. Our bioinformatics team serves a core group of 6-12 investigators by facilitating initial data processing and QC, data management, data sharing within the group, developing algorithms and computational workflows, developing and maintaining software, and analyzing and integrating transcriptome and epigenomic data using a variety of state-of-the-art statistical and data mining techniques.. 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.. Remote work from home day options m ay be granted at department discretion.

bioinformatics analyst

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 Our labs study epigenetic and transcriptional programs that regulate immune responses using cutting edge molecular and cellular immunology approaches, genomics, and bioinformatics. Specific projects include: i) the epigenetic regulation of memory B cell responses in murine influenza models; ii) B cell dysfunction in human autoimmune diseases; iii) the role of epigenetic modifying complexes and transcription factors in plasma cell differentiation, and iv) factors influencing MHC-II and PD-1 gene expression. We are seeking a bioinformatician to join our growing team to analyze next-gen sequencing datasets. Preference will be given to individuals with experience in 10x single-cell platforms, RNA-seq, ATAC-seq, ChIP-seq, and DNA-methyl-seq. Additional experience in statistical genetics, eQTL analysis, or working with genomic variation will be considered. Our bioinformatics team serves a core group of 6-12 investigators by facilitating initial data processing and QC, data management, data sharing within the group, developing algorithms and computational workflows, developing and maintaining software, and analyzing and integrating transcriptome and epigenomic data using a variety of state-of-the-art statistical and data mining techniques. This position will contribute to the development and application of computational workflows for processing, analyzing, and visualizing data. A successful candidate will be able to synthesize data for publication and work closely with bench scientists. This position will provide opportunities for multiple publications, cross-disciplinary collaborations, and experience in integrating multiple data with clinical outcomes and other –omics data. Performs related responsibilities as required. Preference will be given to candidates with immunology background, experience with 10x single-cell workflows, R/Bioconductor programming, Shiny apps, and GitHub/Bitbucket. JOB DESCRIPTION: <ul><li> Maintains software, hardware and the network in a bioinformatics setting or molecular modeling laboratory. </li><li> Supervises regular updates and recommends state-of-the-art enhancements. </li><li> Analyzes high throughput screening data and performs structure activity analyses to generate predictive correlations. </li><li> Applies a limited range of molecular modeling tools to refinement of high throughput screening hits. </li><li> Presents the models in a form that allows users to make decisions concerning the direction of an experimental program. </li><li> Performs related responsibilities as required. </li></ul>MINIMUM QUALIFICATIONS: <ul><li> 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. </li></ul>NOTE: Position tasks are generally required to be performed in - person at an Emory University location . Remote work from home day options m ay be granted at department discretion. Emory reserves the right to change rem ote 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.

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