HMS - Associate in Biomedical Informatics; Farhat Lab

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The Farhat lab in the Department of Biomedical Informatics at the Harvard Medical School is a translational lab that combines genomics and informatics to understand and better control drug resistant tuberculosis and other infections. We are particularly interested in bacterial genome wide association, prediction of phenotype from genotype and methodological development around this. We also apply theoretical evolutionary concepts to better understand genetic diversity and population dynamics of bacterial populations in the host.

We are seeking a part time Associate to who will be fine tuning cofolding models for predicting antibiotic effects for Mycobacterium tuberculosis and Borrelia burgdorferi. It is expected that result will be written and presented at lab meetings, resulting in a final submission of a manuscript for publication.

Bachelors degree in Bioinformatics or related field.

• Proficiency in programming languages (R, Python, Java).
• If visa sponsorship is needed, Harvard retains the discretion to determine which visa status is appropriate and whether a visa sponsorship application will ultimately be submitted, including payment of any applicable fees.

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