First seen by our source: 2 hours ago
Postdoctoral Researcher
@ York University
Toronto, Ontario
Overview
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.
Responsibilities:
- 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
Requirements summary:
- 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
Tools & skills
Source and dates
Source type not verified · apify-linkedin
- Employer posting date
- Not provided
- First seen by our source
- 2026-11-14
- Source record updated
- 2026-11-14
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Entry level |
| Department | Research & science |
| Hours per week | 40 (estimated) |
| Work setting | Office, Home |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
| Education | Doctorate (required), Master’s degree (required) |
| Fields of study | Computer Science, Bioinformatics, Computational Biology, Statistics |
Summary and details written by AI from the posting; the employer’s posting is the authority.
York University
| Field | Value |
|---|---|
| Open jobs on Jobsy | 13 |
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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