Description
The Windreich Department of Artificial Intelligence and Human Health (AIHH) at the Icahn School of Medicine at Mount Sinai leads a pioneering collaboration with the Charles Bronfman Institute for Personalized Medicine (CBIPM) and the Hasso Plattner Institute for Digital Health (HPIMS) to transform the future of health care. Together, these three entities form a unified ecosystem that integrates advanced AI-driven diagnostics, large-scale clinical research, and cutting-edge digital innovation to accelerate scientific discovery and deliver meaningful improvements in patient care and health systems worldwide.The Bioinformatician I manages and organizes large databases, and conducts statistical and genomic analysis. Uses software to gather, store, manipulate and analyzes research data.
A grant-funded Bioinformatician position is available in a laboratory at the Windreich Department of AI and Human Health at Icahn School of Medicine at Mount Sinai. The Bioinformatician will work with a group of researchers on innovative analyses of genetic disease in electronic health records (EHR). The individual will support research projects by delivering bioinformatics services for medical, genetic, and multi-omic data. The specific project supported by this position focuses on using machine learning and AI methods to detect undiagnosed rare genetic disease in medical databases, including Mount Sinai patients. The ideal candidate will have strong statistical and programming proficiencies with proven expertise in machine learning and deep learning. Good organization and communication skills, with demonstrated ability to productively work as a member of a team. Strong verbal and written communication skills in English are required.
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Responsibilities

• Conducts statistical and genetic analyses
• Uses software to gather, store, manipulate and analyze research data
• Develops and evaluates predictive models of rare genetic disease
• Work independently on a variety of bioinformatics analysis projects to support efforts in the lab
• Participates in the preparation of manuscripts and presentations
• Other related duties as assigned

Qualifications

• B.S. in Biological Sciences, Bioinformatics, Computer Sciences, Statistics or related discipline; M.S. preferred
• 3 years experience required
• Working experience with genetics or statistics analysis software and online resources. Experience in programming environments such as Matlab, R statistical package, BioConductor, Perl or C++.
• Experience with genetics, multi-omics, and/or biomedical data and online resources. Experience in multiple programming environments, especially Python and R

Employer Description

• Conducts statistical and genetic analyses
• Uses software to gather, store, manipulate and analyze research data
• Develops and evaluates predictive models of rare genetic disease
• Work independently on a variety of bioinformatics analysis projects to support efforts in the lab
• Participates in the preparation of manuscripts and presentations
• Other related duties as assigne