Postdoctoral Researcher

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 divya03@yorku.ca

• 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.