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.
