Full-Time

Postdoctoral Researcher

Heds Omics Study

McGill University

McGill University

11-50 employees

University entrepreneurship center and accelerator

Compensation Overview

CA$48k/yr

Montreal, QC, Canada

In Person

Must be authorized to work in Canada and willing to work in Quebec.

PhD

Category
Biology & Biotech (1)
Required Skills
LLM
Python
R
Machine Learning
Medical Terminology
RAG
Electronic Health Records (EHR)
LangChain
SpaCy

Get referred to McGill University

See people who can refer or advise you

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.

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

Get referred to McGill University

See people who can refer or advise you

Simplify Jobs

Simplify's Take

What believers are saying

  • Fall 2025 enrollment reached 40,531, keeping revenues anchored despite policy and visa headwinds.
  • McGill secured 122 NSERC Discovery grants worth $30 million, reinforcing broad research strength.
  • Human resources says most COFAM issues are resolved, with arbitration dates set through December 2026.

What critics are saying

  • McGill faces an authorized class action over alleged campus antisemitism, seeking $5 million.
  • Education faculty voted for a five-day strike mandate after a year of stalled talks.
  • McGill budgeted a 2026-27 surplus of only $0.6 million after 2025's $45 million deficit.

What makes McGill University unique

  • QS 2027 ranks McGill 30th globally, still Canada’s top brand in Montreal.
  • McGill's research engine pulled $42 million CFI and $1.25 million NFRF in 2026.
  • D2R's cancer-vaccine initiative targets first-in-human studies, linking labs, hospitals, and industry.

Help us improve and share your feedback! Did you find this helpful?

Benefits

Health Insurance

Paid Vacation

401(k) Retirement Plan

Growth & Insights

Headcount

6 month growth

16%

1 year growth

16%

2 year growth

16%