M

McGill University

University entrepreneurship center and accelerator

Postdoctoral Researcher - Heds Omics Study

Full-Time
CA$48k/yr
Expert
PhD
Montreal, QC, Canada
In PersonMust be authorized to work in Canada and willing to work in Quebec.
Academic & Institutional ResearchMedical Research

About the job

Requirements
  • A PhD in computational biology, bioinformatics, computer science, data science, machine learning or a related field is required.
  • Strong experience working with clinical, biomedical, genetic, electronic health record, or health administrative data is required.
  • Experience with large language models, natural language processing, medical text mining, or clinical artificial intelligence is required.
  • Strong programming skills in Python and/or R are required.
  • Familiarity with medical terminology, International Classification of Diseases codes, phenotype extraction, or Human Phenotype Ontology is required.
  • Ability to work with sensitive health data in a secure and privacy-conscious research environment is required.
  • Strong scientific writing skills and ability to contribute to manuscripts, grants, and technical documentation are required.
  • Good communication skills in English or French are required.
Responsibilities
  • Develop and evaluate artificial intelligence-based pipelines to identify potentially undiagnosed or misdiagnosed hypermobile Ehlers-Danlos syndrome and hypermobility spectrum disorder cases.
  • Use clinical text, physician notes, International Classification of Diseases codes, structured symptoms, Human Phenotype Ontology terms, and available omics data to detect diagnostic patterns.
  • Design approaches for extracting and normalizing clinical phenotypes from unstructured medical records from the hEDS*Omics Study and international cohort studies.
  • Compare artificial intelligence-generated candidate cases against known diagnoses, clinical criteria, chart review, or expert assessment.
  • Support validation studies to assess sensitivity, specificity, positive predictive value, and clinical usefulness of the artificial intelligence-based case-finding approach.
  • Prepare reproducible scripts, analysis documentation, technical reports, figures, manuscripts, and grant materials.
  • Collaborate with clinicians, geneticists, data scientists, bioinformaticians, and international consortium partners.
Desired Qualifications
  • Experience with large language model-based clinical decision support, rare disease diagnosis, or diagnostic reasoning systems.
  • Experience with retrieval-augmented generation, agentic artificial intelligence workflows, prompt engineering, or model evaluation.
  • Experience with clinical phenotype extraction from free text.
  • Experience with electronic health records, Observational Medical Outcomes Partnership, Fast Healthcare Interoperability Resources, International Classification of Diseases-code-based phenotyping, or healthcare data models.
  • Experience with chart review, diagnostic validation, or clinician-in-the-loop artificial intelligence evaluation.
  • Experience with Python tools for natural language processing and large language models, such as Hugging Face, LangChain, LlamaIndex, spaCy, or similar frameworks.

About the company

The McGill Dobson Centre for Entrepreneurship helps people at McGill turn ideas into startups by providing education, mentorship, and practical startup frameworks. It runs programs that take ventures from ideation to fundraising, including the Lean Startup programs, Dobson Bootcamp and Cup, the X-1 Accelerator, and international fundraising tours, with tracks for Life Sciences, Sustainability, and women founders. The Centre draws on university resources and philanthropic support to offer funding readiness, mentorship networks, and access to experienced entrepreneurs and investors, all within a campus-based ecosystem. Its goal is to discover, educate, and cultivate world‑class entrepreneurs and to help them build purposeful companies that contribute to the local and global innovation ecosystem.

Company Size

11-50

Company Stage

Grant

Total Funding

$1.6M

Headquarters

Montreal, Canada

Founded

1995

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Simplify's Take

What believers are saying

  • McGill budgeted FY2026 balanced after $45 million corrections, reducing near-term insolvency pressure.
  • D2R’s Canada First Research Excellence Fund backing keeps industry-linked RNA research well capitalized.
  • McGill’s August 2026 AI breakthrough strengthens recruiting in machine learning and computational science.

What critics are saying

  • Quebec labour fights continue in August 2026, with faculty bargaining unresolved and arbitration looming.
  • McGill’s 2027 budget still faces revenue pressure from Quebec tuition reforms and subsidy changes.
  • Persistent compression and union conflict can drive faculty exits, shrinking research output and reputation.

What makes McGill University unique

  • McGill’s D2R platform landed a February 2026 Moderna RNA therapeutics partnership.
  • McGill researchers published an August 2026 ICML method for uncertainty-aware AI systems.
  • McGill combines biomedical depth, bilingual Montreal access, and globally recognized faculty like Schmeing and Sleiman.

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Benefits

  • Health Insurance
  • Paid Vacation
  • 401(k) Retirement Plan

Growth & Insights and Company News

6 month growth

18%

1 year growth

18%

2 year growth

18%
Yahoo Finance
Sep 4th, 2026
Club M&A and McGill's Dobson Centre launch acquisition programme as $218B in Canadian businesses set for ownership transition

Club M&A Canada and McGill's Dobson Centre for Entrepreneurship have opened registration for their first Entrepreneurship Through Acquisition programme. The intensive four-day course, running 27–30 October in Montreal, targets professionals and aspiring entrepreneurs interested in acquiring existing small or medium-sized businesses. The programme addresses a significant succession challenge in Canada. According to the Business Development Bank of Canada, nearly one in five Canadian businesses will undergo ownership transition within five years, representing over $300 billion in business revenue. Marc Deegan, founder of R33 Ventures, will serve as programme director. The curriculum covers developing investment theses, target evaluation, financial and legal considerations, acquisition financing, and post-acquisition transition. Instructors include transaction professionals, lawyers, tax specialists, investors, and entrepreneurs with acquisition experience. Admission is by application, with no prior M&A experience required.