Computational Postdoctoral Researcher at UHN, Toronto

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 GitHub • 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. #J-18808-Ljbffr