Postdoctoral Fellowship in Computational Proteomics (joint position Gingras/Roest labs)

We are seeking applications from motivated candidates for postdoctoral positions at the Donnelly Centre for Cellular and Biomolecular Research at the University of Toronto School of Medicine and at the Lunenfeld-Tanenbaum Research Institute at Sinai Health System. 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.

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 Research Institute is a world-class functional proteomics laboratory that develops experimental and computational tools to analyze protein-protein interactions in space and time.  They focus on understanding signal transduction events in health and disease. The Institute provides a research-intensive environment with modern and innovative core facilities that include robotics, proteomics and imaging that drive technology development (Genome Canada Funded Network Biology Collaborative Centre, NBCC; The selected postdoctoral fellow will work with colleagues in the proteomics group of the NBCC to develop and apply new computational approaches.

The University of Toronto has one of the most concentrated biomedical research communities in the world, including 9 academic hospital research institutes that are fully affiliated with the University. The Gingras and Röst labs are within easy walking distance and share weekly lab meetings, facilitating exchange and collaborations within the groups. Drs Röst and Gingras are faculty members in the Department of Molecular Genetics at the University (



– 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



Please apply directly at Interfolio: