Start Date: As soon as possible
Salary: $50,000 CAD/year with benefits
Project description: The focus of the project is on the large-scale analysis of multi-omics datasets from human gut microbiome in the context of pediatric inflammatory bowel diseases. The goal of the project is to integrate the results of metagenomics, metatranscriptomics and metaproteomics datasets in a machine learning framework to identify predictive signatures of treatment responses in inflammatory bowel disease patients and classify them accordingly.
This research will take place at the Faculty of Medicine of the University of Ottawa. Ottawa is considered to be one of the best livable cities on the globe.
The ideal candidate should:
- Have a Ph.D. in Bioinformatics, Computational Biology, Machine Learning, Biostatistics, Genomics, or a related field
- Have experience with omics data analysis from next-generation sequencing technologies
- Have knowledge and experience with large-scale biological data analysis
- Have experience in analyzing clinical datasets
- Have experience in the computational analysis of large biological datasets such as ENCODE and TCGA.
- Be experienced with machine learning techniques applied to large biological datasets
- Have proficiency in a programming language such as Java, C, C++, Python, R or Matlab.
- Be comfortable in a Linux environment.
- Have the ability to work independently
- Have strong written and verbal communication skills and a good ability to communicate with colleagues in biological sciences
- Have a strong publication record.
Additional assets considered for this position:
- Have experience in proteomics data analysis
- Have a working knowledge of annotation databases such as Gene Ontology, GeneCards, Ensembl, and Reactome
- Have experience working in a collaborative and multidisciplinary team environment
To apply for this position:
Please submit a complete CV, a cover letter and the names and contact information of three references to Dr. Mathieu Lavallée-Adam at this address: [email protected]