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 excellence of our academic community.

The Suthar laboratory within the Emory Vaccine Center at Emory University is currently seeking a Bioinformatics Analyst, Sr. with a background in bioinformatics, modeling, and machine learning to join our lab. Our research uses a multiscale approach to study the immune response to emerging/re-emerging viral infections. We study the dynamics of virus-host interactions with innate immune signaling pathways, define host response at the single cell level, characterize tissue-specific responses using animal models, and model the immune response across organisms (mice, hamsters, NHPs, and humans). For this position, we are looking for a highly motivated, collaborative, and energetic individual that has expertise in analyzing data generated from multiome technologies (single cell RNAseq/ATAC-seq), spatial transcriptomics, and possibly BCR/TCR-sequencing.

KEY RESPONSIBBILITIES:

• Maintains software, hardware and information networks in a bioinformatics and molecular modeling laboratory.
• Analyzes protein structure, data collections and high throughput screening results with sophisticated bioinformatics software in order to carry out structure activity analyses and to generate predictive correlations.
• Applies a broad range of molecular modeling tools to formulate novel bioactivity hypotheses and to design stereospecific molecular structures as candidates for biological in-vitro and cellular probes, independently and in collaboration with synthetic chemists.
• May hire, supervise, and evaluate a small staff.
• Performs related responsibilities as required.

ADDITIONAL JOB DETAILS:

• The responsibilities of this position include management, analysis, interpretation, and integration of research projects.
• Expected to meet deadlines and provide deliverables, manage time slots and workload.
• Also involved in daily core activities that included maintenance of different software packages, updating and troubleshooting analysis pipelines, writing custom scripts and developing new visualization tools to make the data presentation to biologists.
• An ideal candidate should have a strong background in one or a combination of the following areas: Computational Biology, Bioinformatics, Computer Science, Statistics, Molecular Genetics and Biomedical Science.
• Preference will be given to candidates who have a solid understanding of biology/virology and have prior experience in omics data analysis.
• Experience in statistical modeling and machine learning is highly desirable.
• Responsible for taking datasets from beginning to end.
• Starting with preprocessing and quality control to fitting the correct statistical model to perform differential gene expression and Gene Set Enrichment to producing preliminary reports that summarize the most striking findings in the dataset.
• Create presentation data that include advanced analysis portions (Network inference, Gene and Pathway activity plots, Custom module analysis, Deconvolution, Regression Analysis, Correlation of Gene Expression with Flow markers - Machine learning, Classification, Prediction, Validation).
  
• Develop and implement tools and workflows to process, analyze and integrate different high throughput data.
• Supervise all phases of analysis from data processing and quality control through final analytical results and reporting.
  
• Use of computational and statistical approaches from the fields of systems biology to model, and interrogate the molecular interaction networks.
• Write manuscript for publications in scientific journals.

MINIMUM QUALIFICATIONS:

• A master's degree in biology, biostatistics, chemistry, biochemistry, bioinformatics or related science or IT-based discipline; PhD preferred.
• Two years of bioinformatics and/or computational chemistry experience.

PREFERRED QUALIFICATIONS:

• The ideal candidate should be motivated, responsible, detail-oriented, have a positive attitude and works well with others.
• The Bioinformatics Analyst, Sr. should be a team player who is willing to learn on the job and collaborate with lab members and center members.
• The Bioinformatics Analyst, Sr. will work to ensure the highest quality of laboratory research support, and has good communication skills with co-workers, the management team, PI’s, research staff, students, and other support services.

NOTE: Position tasks are required to be performed in-person at an Emory University location; working remote is not an option. Emory reserves the right to change this status with notice to employee.

Emory is an equal opportunity employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by state or federal law. Emory University does not discriminate in admissions, educational programs, or employment, including recruitment, hiring, promotions, transfers, discipline, terminations, wage and salary administration, benefits, and training. Students, faculty, and staff are assured of participation in university programs and in the use of facilities without such discrimination. Emory University complies with 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 (for protected veterans and individuals with disabilities). Inquiries regarding this policy should be directed to the Emory University Department of Equity and Civil Rights Compliance, 201 Dowman Drive, Administration Building, Atlanta, GA 30322. Telephone: 404-727-9867 (V) | 404-712-2049 (TDD).

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's advance notice is preferred.