- Cleveland Clinic
- Location: Cleveland, OH
- Job Number: 7057197 (Ref #: c8daa3c9)
- Posting Date: May 2, 2019
- Application Deadline: Open Until Filled
The Blankenberg Lab in the Genomic Medicine Institute at the Cleveland Clinic Lerner Research Institute has Postdoctoral Fellowships available. We utilize high-throughput omics technologies, such as next generation sequencing, and data-intensive computing to explore biomedical research questions. The PI is a founding member of the Galaxy Project (https://galaxyproject.org), a platform that is used throughout the world for large-scale data analysis.
We are particularly interested in individuals with extensive experience with statistics, data analysis, and visualization using Open Source frameworks. Candidates must be fluent in R and/or Python programming languages.
Previous experience developing interactive R Shiny apps, or using other frameworks, will be viewed particularly favorably.
Additional preference will be given to individuals with experience in analysis of biological high-throughput datasets, especially sequencing and mass-spec based datasets, and to applicants with interest and experience in e.g. bioinformatics or computational biology in relation to cancer and metagenomic/microbiome derived datasets. Although previous, domain-specific experience is not strictly necessary.
Candidates will be highly motivated, ambitious, enthusiastic, and be able to work independently and in a collaborative environment.
Exceptional applicants should send a letter of application expressing their interest and containing links to GitHub accounts (or Bitbucket, GitLab, etc) and to portfolios of interactive visualization work, a curriculum vitae, statement of research interests, and complete contact information for 3 professional references as a single PDF to Dr. Daniel Blankenberg ([email protected]).
keywords: statistics; R; Python; Shiny apps; computational biology; bioinformatics; data visualization; data analysis; data-intensive science; next generation sequencing; ngs; microbiome; metagenomics; genomics; omics; Galaxy;
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