Postdoctoral Researcher in Computational Genomics and Statistical Genetics, Raj Lab

Mount Sinai Health Systems
New York City, New York (US)
November 05 2020
Organization Type

Postdoctoral Researcher in Computational Genomics and Statistical Genetics, Raj Lab

The Raj laboratory in the Departments of Neuroscience and Genetics and Genomic Sciences at the Icahn School of Medicine at Mount Sinai (ISMMS) in New York City is looking for multiple motivated researchers to join our team as Postdoctoral Scholars to work on NIH-funded research in computational genomics and statistical genetics. This multidisciplinary project is a collaboration with Dr. David Knowles of the New York Genome Center and Columbia University and will be part of the National Institute on Aging’s Alzheimer’s Disease Sequence Project (ADSP) consortium. The project will involve the application of statistical learning, network and causal inference methods to large-scale whole genome and transcriptome sequencing data with the aim of identifying the genetic variants, regulatory elements, genes, pathways and cell-types involved in AD pathogenesis.

The successful candidates will join a multidisciplinary and highly collaborative research team that includes geneticists, computational biologists, neuroscientists, and physician-scientists at Icahn School of Medicine at Mount Sinai and New York Genome Center, as well as at other leading academic institutions.

The Raj laboratory ( is dedicated to understanding the molecular mechanisms of neurodegenerative disorders in order to identify novel targets for biomarker and therapeutic development. We work with diverse types of biomedical genetics and genomics data to generate new knowledge of genome function and the genetic basis of disease.


  • Maintain and analyze in-house and external genomics/transcriptomics/proteomics data from disease cohorts
  • Develop and implement algorithms, computational pipelines, statistical methods and software to analyze large-scale human sequencing data and perform integrative analysis
  • Publish and present novel research findings in academic journals and conferences
  • Actively collaborate with other members of the research team

Preferred Qualifications:

  • Candidates with a doctoral degree in human genetics, quantitative genetics, bioinformatics, computational biology, computer science or other fields with strong quantitative skills will be considered
  • Experience analyzing large biological datasets, including principled application of statistical techniques
  • Expertise in Linux and high performance or cloud (e.g., AWS or GCP) computing environments
  • Proficiency in Python and R
  • Desire and ability to learn quickly, think creatively, and apply and design new analytic approaches
  • Effective oral, written, and interpersonal communication skills

Qualified applicants should send curriculum vitae, a brief statement of research interests, and contact details for three references to Towfique Raj at

The Mount Sinai Health System is an equal opportunity employer. We comply with applicable Federal civil rights laws and does not discriminate, exclude, or treat people differently on the basis of race, color, national origin, age, religion, disability, sex, sexual orientation, gender identity, or gender expression. 

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