Post-doctoral Fellowship in Microbiome Research

Institution/Company:
Université de Montréal
Location:
Montréal, QC, Canada
Job Type:
  • Postdoctoral
Degree Level Required:
PhD
Apply Now

Post-doctoral Fellowship in Microbiome Research

Our research program is focusing on these current themes:

Theme 1: Impact of the gut microbiota on inflammation, carcinogenesis and cancer progression.
Theme 2: Determine immune-potentiating effect of commensal bacteria present in the gut microbiota
Theme 3: Preclinical models (mice and in vitro) to study the potential of dietary supplements, probiotics, and live bacteria to modify the microbiota.

References:

  1. Routy B, Le Chatelier E, Derosa L, Duong CPM, Alou MT, Daillère R, et al. Gut microbiome influences efficacy of PD-1–based immunotherapy against epithelial tumors. Science. 2018;359(6371):91-7.
  2. Constante M, Fragoso G, Calvé A, Samba-Mondonga M, and Santos MM. Dietary heme induces gut dysbiosis, aggravates colitis, and potentiates the development of adenomas in mice. Frontiers in Microbiology. 2017;8(1809).
  3. Constante M, Fragoso G, Lupien-Meilleur J, Clavé A, and Santos M. Iron supplements modulate colon microbiota composition and potentiate the protective effects of probiotics in dextran sodium sulfate-induced colitis. Inflamm Bowel Dis. 2017;23(5):753-66.

Responsibilities:

The successful applicant will run analytic and bioinformatic pipelines to process microbiome datasets, omics data analysis, and will contribute to our expanding efforts in microbiome research.

Qualifications:

• PhD in bioinformatics, computational biology, datamining, biostatistics, population and/or statistical genetics, human microbiota, numerical/microbial ecology or equivalent

• Good programming skills (Perl, Python, C/C++, Java, R or Web applications), proficiency in Unix/Linux and cluster experience

• Understanding of baseline medical statistics: Progression free survival, Overall survival, multivariate analyses

• A strong track record in omics data analysis (e.g. (meta)genomics, transcriptomics, proteomics, metabolomics, epigenomics, genotyping data) is a plus

• Experience in clinical datamining/machine learning, biomarker detection is a plus

• Experience in epidemiological research and/or analysis of microbiome datasets, including familiarity with the microbiome bioinformatics and analysis program, QIIME, is highly desired.

  • How to Apply

    Interested and qualified candidates are invited to send their CV, letter of intent, and two references. Applications will be accepted on an ongoing basis until the position is filled. Only shortlisted candidates will be contacted for interviews.