The Mer Lab ( merlab.github.io/) at the University of Ottawa, Canada, is seeking a highly motivated postdoctoral fellow to develop machine learning and AI methods for large-scale biomedical data analysis, with a focus on multi-omics, precision medicine, and human disease.
The successful candidate will work at the intersection of bioinformatics, machine learning, artificial intelligence, and personalized medicine. The position is based in the Faculty of Medicine at the University of Ottawa, with affiliation to the School of Electrical Engineering and Computer Science. The postdoctoral fellow will join a vibrant and rapidly growing research environment with excellent opportunities for interdisciplinary collaboration in AI, medicine, omics, and computational biology.
Ottawa, Canada’s capital, is a multicultural and bilingual city known for its high quality of life, green spaces, cultural activities, and proximity to Montréal and Toronto.
Research Focus -
The postdoctoral fellow will develop and apply AI and machine learning approaches for integrative analysis of large biomedical datasets. Projects may include:
Multi-omics data integration and analysis
Deep learning and AI method development for biomedical applications
Integration of omics data with histopathology image data
Explainable AI for precision medicine
Development of computational tools for disease diagnosis, prognosis, and patient stratification
The candidate will be expected to design and implement computational methods, analyze large-scale datasets, collaborate with experimental and clinical researchers, prepare manuscripts, and contribute to research presentations and grant applications.
A PhD completed or near completion in bioinformatics, computational biology, computer science, data science, engineering, statistics, or a related field
Strong programming skills, preferably in Python and/or C/C++
Experience with machine learning, deep learning, or AI model development
Strong analytical and problem-solving skills
Excellent communication and scientific writing skills in English
Motivation, independence, and enthusiasm for interdisciplinary research
Experience in multi-omics data analysis, genomics, biomedical image analysis, explainable AI, high-performance computing, or molecular biology is an asset but not required.
Applicants should send the following documents as PDF files: Cover letter and Detailed CV
The cover letter and CV should clearly highlight relevant experience in programming, machine learning, deep learning, AI, and biomedical or bioinformatics data analysis.
The email subject line should begin with: Application for Postdoctoral Fellow in AI and Machine Learning
Applications should be sent to: amer [at] uottawa [dot] ca
Review of applications will begin immediately and continue until the position is filled.