Job Title

Koziarski Lab - The Hospital for Sick Children Organisation/Company Koziarski Lab - The Hospital for Sick Children Research Field Computer science Other Chemistry Computational chemistry Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Country Canada Application Deadline 31 Jul 2025 - 00:00 (America/Toronto) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The position is under the supervision of Dr. Micha Koziarski within the Molecular Medicine program at the Hospital for Sick Children, University of Toronto, and Vector Institute. Our research group focuses on developing machine learning-based pipelines that leverage generative models and active learning to efficiently explore chemical space, with applications in anti-aging intervention discovery. We seek a candidate interested in fundamental ML research driven by real-world applications and aligned with the goal of extending healthy human lifespan. The role will center on developing generative models for small molecule design and applying them to various longevity-related projects, including (but not limited to) the discovery of novel senolytics. The candidate will contribute to the development of novel methods that integrate ML with chemistry, emphasizing cost and speed of chemical synthesis. While we specialize in computer science and algorithm development, our goals go beyond just improving benchmark results - we''re focused on designing new therapeutics that help people live longer, healthier lives. As a result, our research is highly interdisciplinary, bridging ML with experimental work and fostering close collaborations with biologists and chemists at SickKids, the University of Toronto, and the Acceleration Consortium. What We Offer: * An interdisciplinary environment with expertise and close collaborations spanning core ML, chemistry, and biology. * ML research fundamentally motivated by the most pressing biological questions. * Flexibility in shaping research directions in alignment with the groups mission and the candidates interests. * High bandwidth in supervision: as a newly established group, we have the capacity to closely support and mentor the successful candidate. * Access to dedicated computational resources at SickKids Research Institute and the Vector Institute cluster. * Engagement with the Vector Institute and Acceleration Consortium ecosystems. Where to apply E-mail Requirements Research Field Computer science Other Education Level PhD or equivalent Skills/Qualifications Requirements: * PhD in a machine learning-related discipline. * Strong publication track record in top ML, computational chemistry, or computational biology conferences and journals. * Proficiency in Python, demonstrated through completed projects, preferably with publicly available repositories. * Experience with deep learning frameworks such as PyTorch and JAX. * Hands-on experience in developing and training deep learning models. * Familiarity with reinforcement learning and/or generative models. Preferred Qualifications: * Experience in drug discovery and chemical data. * Background in generative models for small molecule design. * Experience with GFlowNets. * Familiarity with active learning approaches. #J-18808-Ljbffr