Post-Doctoral Research Fellow – Viral genomics

Bakel lab
Manhattan, New York City (US)
Starting from $50,000 per year + benefits
September 12 2016
Position Type
Full Time
Job Type

Influenza A virus (IAV) is a major human respiratory pathogen that causes seasonal epidemics and occasional pandemics. IAV critically depends on host factors for multiple functions that are not encoded by the viral genome to transcribe and translate viral proteins. The Bakel lab is looking for a Postdoctoral Fellow to work on a bioinformatics project aimed at understanding influenza viral polymerase:host interactions, the basis of viral transcription, and the interplay between cellular and viral transcription at genomic scale.

Research our lab is focused on applying novel genomics technologies to fundamental problems in infectious disease to understand host:pathogen interactions and the molecular basis of evolution and transmission of bacteria and viruses, which we hope will provide insights into new treatment options and approaches to prevent the spread of infectious diseases. The candidate will work within an integrated, multidisciplinary team of experimental and computational scientists at the Institute for Genomics and Multiscale Biology at the Icahn School of Medicine at Mount Sinai. They will use data generated using the latest next-generation sequencing technologies, including single-cell sequencing platforms, for integrated analyses of influenza virus and host transcription. Additionally, using data from emergent technologies they will help develop novel algorithms and methods to improve existing analysis pipelines. The ideal candidate will have a Ph.D. in bioinformatics, or virology, with a background in transcriptome analyses and excellent quantitative skills. The successful applicant will have strong training in genomic analysis and data mining and the ability to work in a collaborative team setting.

Specific qualifications include:

  • Experience in one or more of the following areas:
  • Virology and/or bioinformatics
  • Genomics and RNA-Seq data analysis
    • Differential gene expression profiling (e.g., using voom/limma)
    • Co-expression network analysis (e.g., WGCNA, MEGENA)
  • Statistical analysis (e.g., using R, Matlab)
  • Programming (e.g., python, C/C++, or Java)
  • Ability to complete tasks efficiently and independently
  • Strong work ethic and attention to detail
  • Excellent verbal and written communication skills
  • Ability to work in a collaborative setting

The Icahn School of Medicine at Mount Sinai 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.

In your application please provide a CV, a brief description of research experience and interests, and contact information for 1-3 references.

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