CREW Programmer for Computational Genomics
Application deadline: September 14th, 2025
Start date: September 15th, 2025 End date December 20th, 2025
Salary: CREW salary grids for undergraduate researchers, $19.45 per hour
Hours per week: 35
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 maintain a GitHub repository for the group
• Support team members in using the GitHub, elaborate short trainings and documentation in using it appropriately
• Develop and apply bioinformatics, biostatistics and machine learning analytic strategies for large scale genomics data analysis (transcriptomics and metabolomic data).
• Interact with all members of the team and support new members.
Qualifications/skills required:
• Experience with GitHub.
• Experience with coding in R, Python, Bash and interacting with high-performance computing servers (e.g. Compute Canada)
• Experience and interest in health-related biostatistics and machine learning
• 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.
*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.