Emory University School of Medicine hiring Bioinformatics Analyst in Atlanta, Georgia, United States

JOB DESCRIPTION: Maintains software, cloud computing, and information networks in a cell and molecular biology laboratory. Applies a range of computational and statistical approaches to analyze complex datasets. Plays a lead role in computational research activities in consultation with Principal Investigator(s) and other lab members.  Establishes and maintains internal databases and external reporting in compliance with funding mandates. Interfaces with external databases to identify and integrate key datasets from the public domain. Performs related responsibilities as required. 

MINIMUM QUALIFICATIONS: A bachelor’s degree in bioinformatics, molecular biology, genetics/genomics, or related field; MS preferred. Expertise in statistics and programming languages such as Python, Perl, and R. Experience analyzing NGS data. 

ADDITIONAL INFORMATION:

The Gracz lab is hiring a bioinformatics analyst to join our group in the Division of Digestive Diseases at Emory University. We are interested in understanding the genetic regulation of stem and progenitor cells in the intestine and liver. Our lab works at the intersection of cell biology and genomics with a focus on transcriptional regulation and chromatin. 

The analyst will work with the PI as well as graduate students, postdoctoral fellows, and research specialists to integrate computational approaches with “wet bench” projects in the Gracz lab. This will include developing, implementing, and optimizing data analyses pipelines for next generation sequencing (NGS) data from genome-scale assays such as RNA-seq (bulk and single cell), ATAC-seq (bulk and single cell), and ChIP-seq/CUT&RUN. In addition, the analyst will contribute to the set-up and maintenance of the lab’s AWS-based computational resources, internal databases, and code repositories. 

The ideal candidate will be highly organized and capable of working independently to execute the computational goals of the lab in close collaboration with the PI and other lab members. Enthusiasm for developing novel approaches to analytical challenges and working in a new lab is desirable. Though not a requirement, opportunities to acquire new training in “wet bench” techniques related to genomics assays can be made available to interested candidates. We seek a minimum 2-year commitment, and the position could be an excellent opportunity for candidates seeking to pursue further training or acquire more experience at the interface of cell biology and genomics. Emory University offers a vibrant intellectual community, collegial work environment, and an exceptional benefits package.

  • Under general supervision, implements computational pipelines for mapping, quality control, and other quantifications of NGS data.
  • Identifies and executes data analysis strategies best suited to answer pressing biological questions according to the aims of specific projects.
  • Stays abreast of the relevant scientific literature and adapt new tools and approaches to maintain bioinformatics capabilities at the cutting edge of the field.
  • Interfaces with external genomics databases and bioinformatics software repositories.
  • Participates in manuscript and figure preparation to disseminate research findings in peer-reviewed publications.
  • Plays a major role in designing and maintaining the lab’s cloud-based computational resources through Amazon Web Services.
  • QUALIFICATIONS:
  • Masters’ degree in a computational field OR equivalent combination of experience, education, and training. Candidates with degrees in any area of biology with strong computational experience are encouraged to apply.

·       Ability to maintain effective working relationships in a diverse laboratory environment.

  • Strong theoretical knowledge in genomics, biostatistics, and/or computational biology.
  • Exceptional organizational, problem solving, and analytical skills, and attention to detail.
  • Demonstrated ability to multitask and prioritize workload to meet deadlines.

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