Research Scientist

• Lead R&D work at Afresh for the development and performance of AI/ML models that power replenishment technology.
• Model consumer demand, item-level perishability, and complex multi-echelon supply chains.
• Drive fundamental changes to the core system from research through production, writing rigorously tested and scalable code.
• Raise the technical bar across the Intelligence team: mentor scientists and engineers, set standards for experimental rigor, and review designs and results.
• Push the boundaries of AI capabilities in both products and scientist workflows.

Staff Applied Scientist – Distribution Center Solutions

• Act as a partner & advisor to internal teams and customers to solve complex business needs using Dotmatics SaaS products.
• Work closely with customers to understand their needs, analyse their data environment, and design and implement solutions.
• Ensure that solutions are functionally correct, scientifically sound, and aligned to the customer's laboratory workflows and data requirements.
• Lead the technical/scientific delivery of strategic projects with customers.
• Present the benefits of Dotmatics software and explain the technical/scientific value to prospective clients.
• Provide oversight and governance on projects where there are parallel activities.
• Evaluate user requirements, provide estimates, solution design, and train Customers on how to use Dotmatics configured solutions.
• Communicate and collaborate among cross-functional teams in a multinational environment.

Principal Application Scientist – ELN/LUMA

• Lead the creative research, architecture design, and training of Biological Foundation Models (BioFMs), on massive-scale genomic, transcriptomic, and single-cell datasets.
• Collaborate closely with computational biologists and drug developers to integrate deep biological priors directly into model architectures and training objectives, ensuring our BioFMs capture fundamental and scientifically meaningful representations.
• Rigorously implement, train, debug, and evaluate large-scale models to demonstrate scientific validity and drive progress on frontier problems in human health and genetic medicines.
• Stay current with advancements in machine learning and computational biology research, identifying cross-disciplinary applications to solve real-world challenges.
• Mentor junior scientists and engineers, fostering a culture of technical excellence and scientific curiosity through leadership and high-quality code review.
• Share research findings through internal presentations and contribute to the scientific community via publications in top-tier venues.

Research Scientist jobs in Canada

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Staff Applied Scientist – Distribution Center Solutions

Principal Application Scientist – ELN/LUMA

Senior Research Scientist, Machine Learning – BioFM