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 (prohitsms.com) 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.