Computational Postdoctoral Researcher at UHN

Join Dr. Gregory Schwartz's lab at UHN to explore cellular diversity in cancer therapies as a Computational Postdoctoral Researcher. Specialize in multi-omic and single-cell analyses in a temporary full-time role.
As a postdoctoral researcher at UHN's Princess Margaret Cancer Centre, you'll leverage cutting-edge technologies in single-cell transcriptomics and spatial multiomics. Your work will focus on developing novel computational methods and deep-learning architectures to enhance cancer diagnosis and treatment. Engage with a diverse team of scientists in a collaborative environment aimed at breakthroughs in precision medicine.

Key Responsibilities:

• Work with single-cell transcriptomics and epigenomics data

• Develop methods for multiomic integration and analysis

• Track cancer evolution using advanced deep-learning techniques

• Identify significant biomarkers and resistance factors

• Present research findings at national and international conferences
Requirements:

• PhD awarded within the last 5 years in relevant fields

• Experience with Python, Linux, and machine learning

• Strong publication track record in method development

• Skills in version control using Git and Git Hub

• Ability to work both independently and as part of a team
Bring your expertise in computational biology and contribute to innovative cancer research at UHN.
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