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Strength Through Diversity
Ground breaking science. Advancing medicine. Healing made personal.
Roles & Responsibilities:
The Pejaver Laboratory, Institute for Genomic Health
A Data Science Analyst position is available in Prof. Vikas Pejaver\xe2\x80\x99s lab with a specific focus on computational variant interpretation and genomic risk prediction. The Pejaver Lab is an interdisciplinary group with diverse but interlinked research interests related to biomedical data science and machine learning methodology. 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. Data resources include (a) Access to
8 million patient records in the Mount Sinai Data Warehouse and (b) The BioMe Biobank Program with
30,000 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.
The Pejaver Lab (https://labs.icahn.mssm.edu/pejaverlab/) has had a longstanding interest in the prediction of the functional and phenotypic impact of (rare) genetic variants, and developing genomic disease risk scores based on these for rare and common disorders. Depending on candidate interests and qualifications, responsibilities will include a mix of internally funded curiosity-driven projects, grant-funded projects, and pipeline development and maintenance for the laboratory. This position is funded through flexible but stable mechanisms and, thus, can potentially be extended in the longer term, with options for hybrid/remote work.
About Our Organization: The Icahn School of Medicine at Mount Sinai is internationally recognized as a leader in groundbreaking clinical and basic science research and is known for its innovative approach to medical education. With a faculty of more than 3,400 in 38 clinical and basic science departments and centers, Mount Sinai ranks among the top 20 medical schools in receipt of National Institutes of Health grants. In its 2015 "America\xe2\x80\x99s Best Graduate Schools" issue, U.S. News & World Report ranks the Icahn School of Medicine 14th out of 130 medical schools nationwide. Mount Sinai Medical Center is an equal opportunity/affirmative action employer. We recognize the power and importance of a diverse employee population and strongly encourage applicants with various experiences and backgrounds. Mount Sinai Medical Center--An EEO/AA-D/V Employer.
Requirements:
PhD in Bioinformatics, Computational Biology, Genomics, Molecular Biology, or a related discipline preferred. Bachelor\'s degree required.
Expertise in functional annotation of human genomes and proficiency in extracting information from biological knowledgebases such as UniProt and Ensemble
Experience developing efficient pipelines to process large genomic data sets in high-performance computing environments
Working knowledge of statistical testing and data exploration techniqu
Desired qualifications include:
Experience applying machine learning methods to genomics and molecular data sets
Experience with functional genomics consortia data resources such as GTEx and ENCODE
Familiarity with large genomics data resources such as the 1000 Genomes Project, UK Biobank, ClinVar and gnomAD, among others
Working knowledge of modern web service and/or software implementation
Strength Through Diversity
The Mount Sinai Health System believes that diversity, equity, and inclusion are key drivers for excellence. We share a common devotion to delivering exceptional patient care. When you join us, you become a part of Mount Sinai\xe2\x80\x99s unrivaled record of achievement, education, and advancement as we revolutionize medicine together. We invite you to participate actively as a part of the Mount Sinai Health System team by:
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