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Postdoctoral Researcher

@ York University

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Toronto, Ontario

Temps plein
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York University's IMPACT-AI Lab, with University Health Network, is hiring a Postdoctoral Fellow or Research Engineer in Toronto to develop generative and agentic AI methods for genomic and multi-omic data in cancer research. The role involves building models and computational pipelines and working with clinicians and computational scientists. The position is a one-year appointment starting December 2026, with hybrid or remote options.

Responsabilités :

  • Develop generative AI and agentic AI methods for genomic data
  • Analyze large-scale genomic and multi-omic datasets
  • Build and support computational pipelines and model deployment
  • Collaborate with clinicians to interpret and validate results
  • Contribute to manuscripts, presentations and grant writing

Résumé des exigences :

  • PhD in computer science, bioinformatics, computational biology or statistics (postdoc)
  • Master's or PhD for research engineer role
  • Strong machine learning and deep learning background
  • Experience with genomic or multi-omic data
  • Proficiency in Python with PyTorch or TensorFlow
  • Publications, projects or open-source contributions

Outils et compétences

PyTorchTensorFlowPythonGitHub
Source et dates

Type de source non vérifié · apify-linkedin

Date publiée par l’employeur
Non fourni
Première détection par notre source
2026-11-14
Mise à jour du dossier source
2026-11-14

Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.

Détails du poste

NiveauDébutant
DomaineRecherche et sciences
Heures par semaine40 (estimé)
Milieu de travailBureau, Domicile
PositionSurtout assis
Exigences physiquesphysique faible · ordinateur élevé
LanguesEnglish
FormationDoctorat (exigé), Maîtrise (exigé)
Domaines d’étudesComputer Science, Bioinformatics, Computational Biology, Statistics

Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.

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York University

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ChampValeur
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Description

Open Position: Postdoctoral Fellow / Research Engineer

Generative AI, Agentic AI and Genomics

IMPACT-AI Lab, University Health Network and York University, Toronto

The IMPACT-AI Lab at York University invites applications for an exciting Postdoctoral Fellow / Research Engineer opportunity at the intersection of Generative AI, Agentic AI and Genomics. We are seeking a highly motivated candidate to join a collaborative and interdisciplinary research program focused on developing next-generation AI methods for genomic sequence, variant, and multi-omic data, with the goal of advancing discovery in cancer research.

This is an opportunity to contribute to cutting-edge work in a dynamic environment that brings together AI researchers, computational scientists, and clinicians, with strong potential for both methodological innovation and translational impact.

Key Responsibilities

  • Develop and implement generative AI, foundation models, and agentic AI methods tailored to genomic sequence and variant data
  • Analyze large-scale genomic and multi-omic datasets
  • Build robust computational pipelines and support model development, evaluation, and deployment
  • Collaborate with computational scientists, oncologists, and clinicians to interpret results and validate findings
  • Contribute to manuscripts, presentations, grant writing, and research dissemination

Qualifications

  • For Postdoctoral Fellow applicants: PhD in Computer Science, Bioinformatics, Computational Biology, Statistics, or a related field
  • For Research Engineer applicants: Master’s or PhD in Computer Science, Bioinformatics, Computational Biology, Statistics, or a related field
  • Strong background in machine learning or deep learning, especially generative methods such as Transformers, VAEs, GANs, or related models
  • Experience with genomic, multi-omic, or large-scale biological data
  • Proficiency in Python and machine learning frameworks such as PyTorch or TensorFlow
  • Demonstrated research or technical experience through publications, projects, open-source contributions, or relevant industry work
  • Excellent communication skills and ability to work in an interdisciplinary and collaborative environment

Position Details

  • Start Date: Dec 2026
  • Duration: Initial 1-year appointment, with possibility of extension and support for career development
  • Location: Toronto, Ontario (hybrid and remote options available)

How to Apply

Please send the following materials to [email protected]

  • CV including publications and/or relevant technical work
  • Github link

Application Deadline

Applications will be reviewed on a rolling basis until the position is filled.

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