University of Saskatchewan



, Saskatchewan


Job Type:


Degree Level Required:


34 days ago Apply now


The Vaccine and Infectious Disease Organization (VIDO), Canada’s Centre for Pandemic Research, is a world leader in infectious disease research and vaccine development for humans and animals. Located at the University of Saskatchewan in Saskatoon, Canada, VIDO is home to one of the largest and most advanced containment level 3 facilities in the world. To strengthen the preparedness for emerging infectious diseases we are currently expanding our infrastructure to include containment level 4 capacity, a GMP vaccine manufacturing facility, and a new animal housing facility. Our vision includes having the capacity to study any emerging disease in any animal model embracing a One Health approach to prevent emerging and re-emerging infectious diseases in humans and animals.
Dr. Mohamed Helmy, Principal Investigator, Computational Systems Biology Lab is seeking an outstanding Postdoctoral Fellow focusing on Multi-omics data analysis and Machine learning to join his team.
Multi-omics data analysis integrates data from multiple omics platforms to provide a comprehensive view of biological systems. It can help identify new targets for vaccine development, understand the mechanisms of action of vaccines, and develop new diagnostic tools in vaccine and infectious diseases research. Machine learning algorithms can analyze large and complex datasets generated by multi-omics experiments, identify patterns and relationships between different omics data layers, and develop predictive models for disease prevention. The successful candidate will work in project involve genome sequence assembly and analysis, RNA-Seq data analysis (bulk and single cell), developing machine learning algorithms for multi-omics data analysis and developing tools and databases.
We are looking for a highly motivated and enthusiastic scientist with the following competencies and experience:
Essential experience and skills:
·        PhD (completed in the past three years) in computational biology, bioinformatics, computer science with bioinformatics focus, or another related discipline.
·        Hands-on experience with genomics, transcriptomics, and metagenomics data analysis (assembly, annotation and analysis) using pipelines.
·        Solid knowledge in molecular biology
·        Solid programming and scripting background (R, Python, Bash…) for data analysis and software development.
·        Hands-on experience with machine learning application on omics data analysis.
·        Team player with excellent oral and written communication skills
·        Effective organizational and time management skills
Desirable experience and skills:
·        Knowledge and/or previous work in immunology/infectious diseases
·        Previous experience with handling and analyzing disease data.
·        Experience in web-based application development using R, Shiny, Bioconductor
Additional Information:
Status: 2-year term, with the possibility of extension
Employment Group: Post-Doctoral Fellows – PSAC
Full Time Equivalent (FTE): 1.0
Salary Information: The starting salary will follow the university standard for a post-doctoral researcher and will be commensurate with experience.
The successful applicant will be required to provide the following current verification(s) where ‘Yes’ is indicated below. Further information is available at:
Facility Access Screening including Criminal Record Check: Yes
Driver’s License and Abstract Check: Not Applicable
Education/Credential Verification: Yes
Vulnerable Sector Check: Not Applicable
Interested candidates are asked to submit their application in one single application document (pdf file) including a statement of research interest, complete curriculum vitae (CV), and contact information of three references. Links to online portfolio (e.g., GitHub) should be included in the CV.
Review of applications will begin immediately; however, applications will be accepted and evaluated until the position is filled. We thank all applicants for their interest; only those candidates selected for an interview will be contacted.

Systems Biology


Infectious Diseases


Machine Learning




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