1. PhD in Biomedical Sciences
Genetics image

Genetics and Genomics Science

The Genetics and Genomic Sciences multidisciplinary training area focuses on the genetics of human disease and the application of data science to address disease detection, prediction, and treatment. Offered in conjunction with the Department of Genetics and Genomic Sciences, ranked second in the country for funded genetics research, this training area provides students educational and research opportunities in machine learning, network modeling, and big data analysis.

As a student in the program, you will learn from a broad range of faculty, who are world leaders in data science, technology innovation, and human disease, and have access to several state-of-the-art core facilities, including the BioMe BioBank Program, the Genomics Core Facility, the High-Performance Computing Facility, and the Mount Sinai Data Warehouse.

Meet the Co-Directors

Training Area Disciplines

The Genetics and Genomic Sciences training area offers two disciplines: genetics and genomics, and data science. You will tailor your coursework to your specific interests and learn in a supportive, collaborative environment, supported by your faculty and peers.

As genetics and genomics permeate through a variety of scientific disciplines, we offer many unique opportunities to integrate basic, clinical, and translational research across many disciplines. Our faculty are leaders in the fields of:

  • Cancer Genomics
  • Clinical Genetics 
  • Drug Discovery and Trials
  • Functional Genomics and Multiomics 
  • Gene Editing and Cellular Engineering 
  • Genetics of Human Disease 
  • Immunogenomics 
  • Neuropsychiatric Genomics 
  • Pathogen and Microbial Genomics 
  • Statistical Genetics 
  • Technology Development 

At a time when the explosive growth of biomedical data is presenting new opportunities, hopes, and challenges for improving human health through precision treatments, the health care industry needs highly skilled biomedical data scientists to unlock the possibilities within this growing body of information. You will learn from leading biomedical data scientists across a variety of specialties, including:

  • Bioinformatics
  • Biomedical Engineering
  • Biostatistics
  • Clinical Epidemiology
  • Clinical Trials
  • Computational Biophysics
  • Computational Genomics
  • Dynamical Modeling
  • Environmental Medicine
  • Health Systems Design and Information Technology
  • Image Analysis
  • Machine Learning
  • Network Modeling
  • Public Health
  • Systems Biology
  • Systems Pharmacology
  • Image Analysis
  • Visualization