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to uncover mechanisms of human disease. You will turn methods and models emerging from this research into robust, reusable AI capabilities—including foundation models, multimodal representation learning
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states, tissue organization, and biological programs, and connect these representations to mechanisms of human disease. Your work will sit at the intersection of machine learning, computational biology
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identify the cells, cellular states, and biological programs through which genetic variation influences disease. Your work will sit at the intersection of statistical genetics, machine learning, and
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, epidemiological, computational, machine-learning, and AI-based approaches to address biological and clinical research questions. Translate complex research questions into robust and reproducible analytical
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should have enough understanding of machine learning workflows to work effectively with researchers developing predictive, generative, and analytical models for biomedical and clinical data. Grow your
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Technopole supports career development through training, mentoring and dedicated learning opportunities. What you'll bring Essential PhD Degree in a relevant scientific field (e.g. genetic epidemiology