Postdoctoral Fellowship in Computational Proteomics

University of Toronto
Toronto, ON, Canada
Job Type:
  • Postdoctoral
Degree Level Required:
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Postdoctoral Fellowship in Computational Proteomics

The Röst lab at the Donnelly Centre is interested in understanding biology on a personalized level and to use next-generation mass spectrometry to analyze proteomic and metabolomic data in high-throughput. The main focus of the lab is in peptide and small molecule quantification using next-generation approaches, including Data-Independent Acquisition (DIA or SWATH-MS) and developing novel tools and workflows to be used in the community. The Gingras laboratory at the Lunenfeld-Tanenbaum is a world-class functional proteomics laboratory that develops experimental and computational tools to analyze protein-protein interactions in space and time. The new DIA software analysis tools will be integrated into the ProHits LIMS ( that was developed in the group.

The successful candidates will carry out bioinformatics research in proteomics and metabolomics focusing on the quantitative analysis of Data-Independent Acquisition (DIA) data generated by mass spectrometry. The appointees will work directly under the supervision of Dr. Hannes Röst and/or Dr. Anne-Claude Gingras and develop novel software for DIA analysis. Specifically, the candidate will focus on applications to adapt DIA to large-scale biological studies and to analyze challenging samples including small molecule metabolites and proteins with post-translational modifications. Developed software will be applicable to a wide range of clinical and biological studies.


  • Develop novel analysis strategies for large-scale mass spectrometric data
  • Develop algorithms and software for data-independent acquisition in mass spectrometry
  • Apply mass spectrometry to large-scale datasets and personalized medicine


  • PhD in biology, bioinformatics, computer science or a related field.
  • Programming skills
  • Knowledge of some or all of the following: biological mass spectrometry, protein quantitation, bioinformatics, data visualization, experimental design
  • Ability to work independently and collaboratively
  • Demonstrated analytical and problem solving abilities with strong attention to detail.
  • Effective oral and written communication skills
  • How to Apply

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