Postdoc: AI-Driven hEDS/HSD Diagnostics

McGill University; Montreal (administrative region); Hybrid; CAD 43,000 - 53,000; Full time

Job summary

McGill University invites applications for a Postdoctoral Researcher to develop AI-assisted methods for identifying undiagnosed or misdiagnosed hEDS/HSD cases. Work involves clinical text, ICD codes, HPO terms, and omics data across international cohorts to rank diagnostic hypotheses with traceable reasoning.

We seek a PhD in computational biology or related field with strong Python/R skills and experience in NLP, EHR data, and clinical AI.

Qualifications

• A PhD in computational biology, bioinformatics, computer science, data science, machine learning or related field.
• Strong experience with clinical, biomedical, genetic, EHR, or health data.
• Experience with large language models, NLP, medical text mining, or clinical AI.
• Strong programming skills in Python and/or R.
• Familiarity with ICD codes, phenotype extraction, or HPO.

Responsibilities

• Develop and evaluate AI-based pipelines to identify potentially undiagnosed or misdiagnosed hEDS and HSD cases.
• Use clinical text, physician notes, ICD codes, structured symptoms, HPO terms, and omics data to detect diagnostic patterns.
• Design approaches for extracting and normalizing clinical phenotypes from unstructured medical records.
• Compare AI-generated candidate cases against known diagnoses, chart review, or expert assessment.
• Support validation studies to assess performance metrics and clinical usefulness.
• Prepare reproducible scripts, analysis docs, technical reports, figures, manuscripts, and grant materials.
• Collaborate with clinicians, geneticists, data scientists, bioinformaticians, and international partners.

Skills

Python

R

NLP

Clinical AI

ICD codes

HPO terms

Education

PhD in computational biology / related field

Tools

Hugging Face

LangChain

LlamaIndex

spaCy

Job description

McGill University invites applications for a Postdoctoral Researcher to develop AI-assisted methods for identifying undiagnosed or misdiagnosed hEDS/HSD cases. Work involves clinical text, ICD codes, HPO terms, and omics data across international cohorts to rank diagnostic hypotheses with traceable reasoning.

We seek a PhD in computational biology or related field with strong Python/R skills and experience in NLP, EHR data, and clinical AI.