CREW Bioinformatician for Computational Genomics
Application deadline: September 8th, 2025
Start date: September 10th, 2025 End date December 20th, 2025
Salary: CREW salary grids for undergraduate researchers, $19.45 per hour
Hours per week: 8
Position title: Research Assistant
P. I or immediate supervisor: Dr. Marie-Julie Favé
Job description: Reporting to Dr. Marie-Julie Favé, the candidate will be responsible for carrying out research tasks in the computational genomics as proposed by the supervisor.
Responsibilities will include:
• Develop and apply bioinformatics and biostatistics analytic strategies for large scale genomics data analysis (whole-genome sequencing, genotyping, single-cell RNAseq, spatial transcriptomics, metagenomics, epigenomics data, CRISPR screen data).
• Interact with all members of the team and support new members.
Qualifications/skills required:
• Computational genomics experience.
• Experience with coding in R, Python, Bash and interacting with high-performance computing servers (e.g. Compute Canada)
• Experience in biostatistics, including single-cell data and RNAseq bioinformatics pipelines.
• Good spoken and written English.
• Ability to support students with diverse backgrounds in their learning process of computational genomics.
• Strong interpersonal and organizational skills.
• Interact with all members of the team to elaborate analytic strategies and support students in learning process of computational genomics.
How To Apply :
Please send your CV and cover letter to mariejulie.fave@concordia.ca by the posting end date of September 8th, 2025.
*The position is subject to all conditions outlined in the CREW collective agreement
Employment Equity:
Concordia University is strongly committed to employment equity within its community, and to recruiting a diverse faculty and staff. The University encourages applications from all qualified candidates, including women, members of visible minorities, Indigenous persons, members of sexual minorities, persons with disabilities, and others who may contribute to diversification; candidates are invited to self-identify in their applications.