Postdoctoral Researcher in Clinical AI and Rare Disease Research
About the role
The Canada Excellence Research Chair in Genomic Medicine at McGill University is seeking a highly motivated postdoctoral researcher to join the hEDS*omics Study, a multidisciplinary and international research initiative focused on improving the recognition and understanding of hypermobile Ehlers-Danlos syndrome (hEDS) and hypermobility spectrum disorder (HSD).
hEDS and HSD are complex, heterogeneous, and frequently underdiagnosed or misdiagnosed conditions. Many patients experience prolonged diagnostic delays, fragmented care, and substantial effects on their health and daily lives. The hEDS*omics Study brings together clinicians, epidemiologists, geneticists, bioinformaticians, machine-learning specialists, patient partners, and international collaborators to better characterize these conditions and improve diagnostic pathways.
The broader project integrates clinical and patient-reported information with genomic, proteomic, metabolomic, wearable-derived activity, and real-world health data. This postdoctoral position will lead an important new component of the study focused on developing and evaluating AI-based approaches to identify individuals who may have undiagnosed, misdiagnosed, or delayed diagnoses of hEDS or HSD. The successful candidate will work with clinical notes, structured phenotypes, ICD codes, Human Phenotype Ontology terms, electronic health records, administrative health data, and available omics resources. The project will involve clinical natural language processing, large language models, phenotype extraction, AI-assisted diagnostic reasoning, and validation against clinical criteria, chart review, and expert assessment.
This is an excellent opportunity to contribute to a highly collaborative project with potential impact on rare-disease diagnosis, precision health, and patient care while working with multidisciplinary teams and international consortium partners.
We welcome applicants with a PhD in computational biology, bioinformatics, computer science, data science, machine learning, or a related field, particularly those with experience in clinical AI, NLP, large language models, electronic health records, biomedical data, or rare-disease research.
Please share this opportunity with interested candidates and colleagues in your network. 🔗 Apply: https://lnkd.in/gv5MEHnQ #Postdoc hashtag #Genomics hashtag #Proteomics hashtag #MultiOmics hashtag #HumanGenetics hashtag #PrecisionMedicine hashtag #McGill hashtag #Montreal hashtag #RareDisease hashtag #Bioinformatics hashtag #ResearchJobs
About McGill University
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Postdoctoral Researcher in Clinical AI and Rare Disease Research
About the role
The Canada Excellence Research Chair in Genomic Medicine at McGill University is seeking a highly motivated postdoctoral researcher to join the hEDS*omics Study, a multidisciplinary and international research initiative focused on improving the recognition and understanding of hypermobile Ehlers-Danlos syndrome (hEDS) and hypermobility spectrum disorder (HSD).
hEDS and HSD are complex, heterogeneous, and frequently underdiagnosed or misdiagnosed conditions. Many patients experience prolonged diagnostic delays, fragmented care, and substantial effects on their health and daily lives. The hEDS*omics Study brings together clinicians, epidemiologists, geneticists, bioinformaticians, machine-learning specialists, patient partners, and international collaborators to better characterize these conditions and improve diagnostic pathways.
The broader project integrates clinical and patient-reported information with genomic, proteomic, metabolomic, wearable-derived activity, and real-world health data. This postdoctoral position will lead an important new component of the study focused on developing and evaluating AI-based approaches to identify individuals who may have undiagnosed, misdiagnosed, or delayed diagnoses of hEDS or HSD. The successful candidate will work with clinical notes, structured phenotypes, ICD codes, Human Phenotype Ontology terms, electronic health records, administrative health data, and available omics resources. The project will involve clinical natural language processing, large language models, phenotype extraction, AI-assisted diagnostic reasoning, and validation against clinical criteria, chart review, and expert assessment.
This is an excellent opportunity to contribute to a highly collaborative project with potential impact on rare-disease diagnosis, precision health, and patient care while working with multidisciplinary teams and international consortium partners.
We welcome applicants with a PhD in computational biology, bioinformatics, computer science, data science, machine learning, or a related field, particularly those with experience in clinical AI, NLP, large language models, electronic health records, biomedical data, or rare-disease research.
Please share this opportunity with interested candidates and colleagues in your network. 🔗 Apply: https://lnkd.in/gv5MEHnQ #Postdoc hashtag #Genomics hashtag #Proteomics hashtag #MultiOmics hashtag #HumanGenetics hashtag #PrecisionMedicine hashtag #McGill hashtag #Montreal hashtag #RareDisease hashtag #Bioinformatics hashtag #ResearchJobs