Job ID: 5694
Job date: 2016-07-02
End Date:
Company : Mount Sinai Health System Country : Role : Research Scientist
Job date: 2016-07-02
End Date:
Company : Mount Sinai Health System Country : Role : Research Scientist
Job Description:
The Icahn Institute for Genomics and Multiscale Biology at Mount Sinai is seeking talented, motivated, passionate individuals to drive leading edge research and development as part of the Cancer Genomics and Clinical Genome Informatics groups. The successful applicant will become part of an interdisciplinary team of bioinformaticians, geneticists, molecular and cell biologists, “big data” scientists, and clinicians engaged in translational research and clinical projects across multiple disease areas. The work will primarily be focused on developing the science, methods, and infrastructure for multiscale profiling and interpretation of cancer genomes and transcriptomes, translating these methods into clinical practice, and assessing their utility in a clinical setting. The successful applicant will carry out this work under the close guidance and supervision of the director of the Cancer Genomics group.
Send resumes directly to: andrew.uzilov@mssm.edu
Applicants passing the initial phone screen will be asked to take an at-home exam testing their NGS and variant calling knowledge, data analysis proficiency, and programming ability.
Responsibilities
Lead or support bioinformatics analyses for translational cancer genomics studies in collaboration with clinicians and experimental cancer biologists. Analyze and integrate heterogeneous NGS data (somatic and germline SNVs, indel variants, copy-number alterations, structural variants, gene fusions, RNA abundance) from diverse next-generation sequencing assays (Illumina, Ion Torrent, Pacific Biosciences; targeted panels, whole-exome sequencing, whole-genome sequencing, RNA-Seq; bulk and single-cell) and microarrays. Integrate above with clinical data (treatment history, response, biomarkers, disease progression) and phenotypic/demographic data to carry out analysis and generate testable hypotheses about driver mechanisms in tumorigenesis or disease progression, as well as factors responsible for disease response to targeted therapeutics. Contribute to development of infrastructure for integrating data from multiple NGS technologies, as well as variant annotation and interpretation. Publish and present novel findings in academic journals and conferences.
Additional Info:
[Click Here to Access the Original Job Post]
The Icahn Institute for Genomics and Multiscale Biology at Mount Sinai is seeking talented, motivated, passionate individuals to drive leading edge research and development as part of the Cancer Genomics and Clinical Genome Informatics groups. The successful applicant will become part of an interdisciplinary team of bioinformaticians, geneticists, molecular and cell biologists, “big data” scientists, and clinicians engaged in translational research and clinical projects across multiple disease areas. The work will primarily be focused on developing the science, methods, and infrastructure for multiscale profiling and interpretation of cancer genomes and transcriptomes, translating these methods into clinical practice, and assessing their utility in a clinical setting. The successful applicant will carry out this work under the close guidance and supervision of the director of the Cancer Genomics group.
Send resumes directly to: andrew.uzilov@mssm.edu
Applicants passing the initial phone screen will be asked to take an at-home exam testing their NGS and variant calling knowledge, data analysis proficiency, and programming ability.
Responsibilities
Lead or support bioinformatics analyses for translational cancer genomics studies in collaboration with clinicians and experimental cancer biologists. Analyze and integrate heterogeneous NGS data (somatic and germline SNVs, indel variants, copy-number alterations, structural variants, gene fusions, RNA abundance) from diverse next-generation sequencing assays (Illumina, Ion Torrent, Pacific Biosciences; targeted panels, whole-exome sequencing, whole-genome sequencing, RNA-Seq; bulk and single-cell) and microarrays. Integrate above with clinical data (treatment history, response, biomarkers, disease progression) and phenotypic/demographic data to carry out analysis and generate testable hypotheses about driver mechanisms in tumorigenesis or disease progression, as well as factors responsible for disease response to targeted therapeutics. Contribute to development of infrastructure for integrating data from multiple NGS technologies, as well as variant annotation and interpretation. Publish and present novel findings in academic journals and conferences.
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Additional Info:
[Click Here to Access the Original Job Post]