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Where: Work can be done remotely, but the RA should be available to meet in person at the Longwood medical campus at least once a week.

About: The HSPH Microbiome Analysis Core (HMAC) is located in the Department of Biostatistics at the Harvard Chan School of Public Health, supports the study of the human microbiome, its interaction with health and disease, and computational methods for data mining and machine learning in large genomic data collections.

More info here: https://www.hsph.harvard.edu/hmac/

Position:  Part-time Research Assistant for up to 17 hours a week, without benefits, with potential for a permanent position pending funding. Hourly rate is up to $24 per hour, commensurate with experience.

Position Details: This job will entail work with the Core personnel applying existing microbiome informatics and statistical tools, developed in the Huttenhower lab (e.g. MetaPhlAn2, HUMAnN2) as well as by other groups (UPARSE, QIIME, DADA2), to new human microbiome sequence datasets, including microbial communities assayed in disease, animal models, cross-sectional and prospective human cohorts, and associated clinical phenotype, environmental/lifestyle exposure metadata.

Responsibilities: Analysis of human microbiome data.

Qualifications: 

  • Linux/Unix command line proficiency and programming in Python or R.
  • Preference is given to candidates with experience in ordination and cluster analysis, sequence analysis, and computing clusters (e.g. Slurm manager).
  • Post-baccalaureate or Master level student.

To receive full consideration for this position, candidates are asked to submit a Resume/CV to Galeb Abu Ali at  gabuali@hsph.harvard.edu.

Please make sure to reference seeing this position through the Brandeis GPS job spotlight post.

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