Job description 

The laboratory of Dr. Arielle Elkrief, co-Director of the CHUM Microbiome Centre is searching for a talented and self-driven Computational Biologist or Bioinformatician to join our computational team as a post-doctoral fellow. The candidate will focus on establishing computational support for analysing complex and multimodal microbiome data. The candidate will be working closely with other computational biologists, basic scientists, students, and researchers including members of the Dr. Bertrand Routy laboratory, co-Director of the CHUM Microbiome Centre.

The Elkrief lab will provide both computational support with a senior computational biologist on-staff. The candidate will be responsible for designing a data architecture to leverage and integrate in house microbiome-oncology datasets, processing, visualizing and interpreting data for multiple projects.

The lab focuses on developing novel microbiome-based therapies for people with lung cancer and melanoma treated with immunotherapy. This includes investigating the role of fecal microbial transplantation, probiotics, prebiotics, and diet in prospective clinical patient trials, with a focus on integrating multi-omic translational correlative approaches using biospecimens from patients enrolled on these trials. The specific role of the candidate will be to perform primary computational biology analyses on samples from multiple clinical trials with high potential for impact.
 

Responsibilities

• Raw processing, analysis, and visualisation of fecal metagenomics and 16s rRNA data (human and murine)
• Transkingdom representation of clinical, dietary, metagenomic, metabolomic, and immunologic multi-omic data
• Data infrastructure organization
• Implement and follow the best practices in data management and data architecture

Qualifications

• A Ph.D. or M.D./Ph.D. in bioinformatics, computational biology, computer science, or related field
• Training in or experience in metagenomics processing, statistical analysis, and visualisation
• Proficiency in R or python and command-line programming languages
• Proficiency in using computing cluster tools
• Expertise in data management, and architecture
• Strong problem-solving abilities and resilience in a fast-paced, dynamic environment
• Ability to collaborate and communicate effectively with team members and external stakeholders
• Ability to multitask and lead analyses for multiple projects

What we offer

• Full time position (35h/week)
• Flexible hours 
• 24 months contract, renewable
• Salary according to the CRCHUM's policies
• Start date: as soon as possible

To apply for this position

Interested candidates should e-mail a cover letter and curriculum vitae, including three references to:
 arielle.elkrief.med@ssss.gouv.qc.ca

It is "essential" to attach your CV for your application to be considered.

Only successful candidates will be contacted for an interview.

The CRCHUM invites women, Aboriginals, visible minorities, ethnic minorities and people with disabilities to apply. The CRCHUM adopts a broad and inclusive definition of diversity that goes beyond applicable laws. 

The CRCHUM thus encourages all people, regardless of their characteristics, to apply. In accordance with Canadian immigration requirements, please note that priority will be given to Canadian citizens and permanent residents.