Postdoctoral fellow, Harvard Medical School

  • Postdoc
  • Postdoctoral fellow in mycobacterial genomics, epidemiology, evolution
  • Applications have closed
Lab Website: mahafarhat

mahafarhat Boston, MA, USA


Description:

The Farhat Lab in the Department of Biomedical Informatics is seeking a highly motivated ‘dry lab’ postdoctoral research fellow interested in pursuing innovative studies in the field of infectious disease genomics and its translation to the clinic. The research aims to enhance our understanding of the biology of M. tuberculosis infections and identify molecular markers for the diagnosis and surveillance.
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The Department of Biomedical Informatics is a leading hub for computational biology, translational bioinformatics, and precision medicine. Based in the Harvard Medical School Longwood Campus, the department is part of a vibrant community of scientists, physicians, students, engineers, and staff whose goal is to advance the boundaries of knowledge. The working environment combines the best features of a startup (fast pace, flexibility) with those of one of the leading medical schools (excellent benefits, outstanding opportunities for learning, and great resources).


Responsibilities:

This position provides outstanding opportunities for continued scientific development and for contributing to pioneering research. Specifically, the fellow will apply as well as develop code to process and analyze mycobacterial molecular and phenotype data. Including code that is production-ready for dissemination to other laboratories and for diagnostic use, and the management of large-scale data. They will join a team of computational and experimental postdoctoral fellows, graduate, and undergraduate students, and a software and web engineer.


Qualifications/Preferred Skillsets:

-PhD in Bioinformatics, Systems Biology, Evolutionary Biology, Microbiology, Epidemiology, Biostatistics, Applied Math, or related field.

-Strong coding/computing skills.

-Familiarity or strong interest in the analysis of pathogen genomic/molecular data



Featured Publications:

1. https://www.biorxiv.org/content/10.1101/2020.09.29.293274v1

2. https://elifesciences.org/articles/61805

3. https://www.nature.com/articles/ng.2747


Something about the PI: I love being a principal investigator because I love mentorship and working in teams on exciting scientific questions! I have three children, and also practice clinical medicine.
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