Bioinformatician I - Institute for Genomic Health

Mount Sinai Health SystemNew York, NY
3d

About The Position

The Bioinformatician I manages and organizes large databases, and conducts statistical and genomic analysis. Uses software to gather, store, manipulate and analyzes research data. The Bioinformatician I will work with a group of researchers/biologists on innovative genomic analyses of structural variation, epigenetics, and gene expression in an integrated environment combining experimental and bioinformatics approaches to human disease. The individual will support research projects by delivering bioinformatics services for bio-medical data from cutting-edge genomic technologies The ideal candidate will have strong statistical and programming proficiencies with proven expertise in genomic analysis. We are inviting applications for a Bioinformatician Scientist position in biomedical data science with a specific interest in applications to electronic health records (EHR) and genomics. The Lab is an interdisciplinary group with diverse but interlinked research interests related to biomedical data science and machine learning methodology development. This position is funded through flexible but stable mechanisms and, thus, can potentially be extended in the longer term. Depending on candidate interests, there will be opportunities to work on, internally funded curiosity-driven projects, as well as structured, grant-funded projects. The position will be situated at the Institute for Genomic Health (IGH) at the Icahn School of Medicine at Mount Sinai in Manhattan, New York, NY, USA. IGH aims to close the gap between genomic research and healthcare through discoveries and algorithms focused on diverse populations. The Lab is interested in the extraction of genetic disease-related information from EHRs and its integration with genomic, molecular and other clinical data sets to build better cohorts for variant discovery and aid in the timely diagnosis of patients in the clinic. We develop data science methods to identify patients with rare genetic diseases from their health records and genetic testing reports. We also collaborate with other labs at IGH to develop phenotypic risk scores using information from the Mount Sinai Million biobank and EHRs. Data resources include (a) Access to >12 million patient records in the Mount Sinai Data Warehouse and (b) The Mount Sinai Million Biobank Program with >60,000 patients with whole exome sequencing data linked to longitudinal clinical data. Mount Sinai also houses Minerva, a world-class high-performance computing resource, with specifications that include over 2 petaflops of compute cores and nearly 90 GPU cores, among others.

Requirements

  • strong statistical and programming proficiencies
  • proven expertise in genomic analysis

Responsibilities

  • manages and organizes large databases
  • conducts statistical and genomic analysis
  • Uses software to gather, store, manipulate and analyzes research data
  • support research projects by delivering bioinformatics services for bio-medical data from cutting-edge genomic technologies
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