PhD position: Bioinformatics for Proteomics Data Analysis

Laboratory: Bioinformatics and Proteomics Laboratory (ADLab) – Prof. Arnaud Droit. The laboratory specializes in the development of advanced computational methods and artificial intelligence and statistical approaches for the analysis of massive datasets. ADLab collaborates with academic and industrial partners internationally and has high-performance computing infrastructure. Institution: Faculty of Medicine, Université Laval, Quebec City, Canada

Job Description: Prof. Arnaud Droit’s laboratory (ADLab) is recruiting a bioinformatics student to work on the analysis of proteomics data generated by latest-generation mass spectrometers. This research will be conducted as part of the fight against antibiotic resistance, which represents a major threat to public health. This issue is a consequence of the overuse of antibiotics, which promotes the emergence of resistant bacteria, making many infections difficult to treat. It is therefore crucial to develop new approaches to detect and counter these resistances. The candidate will contribute to the development of computational tools for the analysis and validation of proteomics data, as well as the application of machine learning methods for identifying diagnostic biomarkers in biological fluids (detection of bacteria, treatment resistance, etc.).

• Develop tools for proteomics data analysis.
• Design and improve algorithms for validating mass spectrometry signals.
• Apply machine learning approaches for biomarker identification.
• Collaborate with experts in bioinformatics, biology, and proteomics.
• Participate in writing scientific publications and presenting results at conferences.

• Master’s level. Degree obtained or in progress.
• Background in bioinformatics, computer science, biostatistics, or a related field.
• Programming experience (R, Python).
• Knowledge of machine learning and biological data processing.
• Interest in the analysis of large-scale proteomics data.
• Autonomy, scientific rigor, and ability to work in a multidisciplinary team.
• Have some basis of French is an asset
• Experience with proteomics data processing software is an asset
• Knowledge of proteomics and/or mass spectrometry is an asset