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HMS - Postdoctoral Fellow in Biomedical Informatics (Farhat Lab)

Harvard University

Roxbury Crossing, MA • On-site

$53K - $72K/yr

Full-time

This job post has expired 5 days ago. Applications are no longer accepted.


Harvard University rating

8.5

Company rating: 8.5 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

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Job description

HMS - Postdoctoral Fellow in Biomedical Informatics (Farhat Lab)

Title - HMS - Postdoctoral Fellow in Biomedical Informatics (Farhat Lab)

School - Harvard Medical School

Department/Area - Biomedical Informatics

Position 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. 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.

Salary and Benefits This position is salaried and benefits eligible. Information regarding postdoctoral fellow salary, which is determined by the number of years post PhD, and benefits can be found at https://postdoc.hms.harvard.edu/guidelines. With this appointment, you are represented by the Harvard Academic Workers (HAW) –UAW for purposes of collective bargaining and matters affecting your compensation and working conditions.

Basic Qualifications - 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.

EEO/Non-Discrimination Commitment Statement Harvard University is committed to equal opportunity and non-discrimination. We seek talent from all parts of society and the world, and we strive to ensure everyone at Harvard thrives. Our differences help our community advance Harvard's academic purposes. Harvard has an equal employment opportunity policy that outlines our commitment to prohibiting discrimination on the basis of race, ethnicity, color, national origin, sex, sexual orientation, gender identity, veteran status, religion, disability, or any other characteristic protected by law or identified in the university's non-discrimination policy. Harvard's equal employment opportunity policy and non-discrimination policy help all community members participate fully in work and campus life free from harassment and discrimination.


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