Postdoctoral Fellowship in Chemical Proteomics (Gingras lab)

We are looking for a highly motivated post-doctoral fellow in chemical proteomics to join the laboratory of Anne-Claude Gingras at the Lunenfeld-Tanenbaum Research Institute (https://gingraslab.lunenfeld.ca/). Dr. Gingras specializes in the study of protein complexes and subcellular proteome organization, combining cutting edge mass spectrometry-based approaches with modern cell and molecular biology techniques. She has developed multiple experimental and computational approaches (many through collaborative efforts) to confidently identify and quantify interaction partners for proteins of interest, and has co-developed a number of widely used software tools to assist in this process. She has applied these powerful systematic approaches to a number of protein classes (e.g. phosphatases, bromodomain-containing proteins, RNA-binding proteins) to accelerate discovery, and is ultimately interested in gaining deep biological insight into the mechanisms of disease.

The post-doctoral fellow will join her multi-disciplinary team and have the opportunity to extend chemical proteomics capabilities in pre-clinical drug discovery and structural proteomics. S/he will develop and optimize new methodologies for drug target identification, protein complex composition and protein cross-linking for structural analysis by mass spectrometry, and apply these approaches to the study of signaling molecules.

The Gingras lab is part of the Lunenfeld-Tanenbaum Research Institute’s Molecular, Cell and Systems Biology group whose faculty members are internationally renowned for their work in signalling networks, cancer and developmental biology, structural biology, imaging, high- throughput screening and proteomics. With numerous discoveries in basic and applied research in cancer, developmental biology, stem cell biology, diabetes, genetic disorders and women’s and infants’ health, the Lunenfeld-Tanenbaum Research Institute is committed to excellence in health research and the training of young investigators. 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; http://nbcc.lunenfeld.ca/). The selected postdoctoral fellow will work with colleagues in the proteomics group of the NBCC to develop and apply new approaches.

Lunenfeld-Tanenbaum Research Institute labs engage in productive collaborations within the Institute, Sinai Health System, the larger University of Toronto community, and beyond. 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. Dr. Gingras is a Professor in the Department of Molecular Genetics at the University (http://www.moleculargenetics.utoronto.ca/).

 

Requirements

Applicants should have a Ph.D. in biological chemistry, biochemistry, organic chemistry, or bioanalytical chemistry, with a strong publication record. Demonstrated proficiency in biochemistry (protein purification, enzymatic assays), chemistry (organic chemistry, click-chemistry, cross-linking), proteomics (quantitative mass spectrometry, analysis of post-translational modifications) and/or bioinformatics is required. The applicants must possess exceptional communication skills (verbal, written and presentation) and be comfortable engaging and exchanging information with other members of the laboratory and collaborators.

 

Application

Please apply directly at Interfolio: https://apply.interfolio.com/66200

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; http://nbcc.lunenfeld.ca/). 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 (http://www.moleculargenetics.utoronto.ca/).

 

Qualifications

– 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

 

Application

Please apply directly at Interfolio: https://apply.interfolio.com/58107