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of mutational processes in human health and disease. We are an interdisciplinary team of experimental, computational, and clinician scientists allowing us to generate and analyse complex data from emerging
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. We have recently discovered key pathways that are associated with cellular plasticity and regulate therapeutic response (Science 2022 [PMID 35981096] and PNAS 2024 [PMID: 38968122]). Our laboratory
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School of Medicine. We develop and apply innovative experimental and computational approaches to study cellular heterogeneity and its impact on tissue function in health and disease. Our interdisciplinary
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-disciplinary Center dedicated to precision medicine, and teams of compute, neuroscience, and clinical experts. We have multi-year funding for this position from our Aligning Science Across Parkinson’s disease
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with the (computational) PI. The experimental/computational collaboration was very productive (McFall T et al, Science Signaling, 2019; McFall T et al, Cell Reports, 2021; McFall T et al, npj Precision
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. Qualifications We are seeking candidates who meet the following criteria: A PhD or equivalent degree, already obtained, in a related field e.g., philosophy, law, computer science, data science, social sciences
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high impact careers in biomedical research. This is an opportunity for a highly motivated individual with a background in population genetics, computational biology, or a related area. Candidates with
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Title of the Position: Postdoctoral Associate – Computational cancer biology (Aitken Lab) Department and School: The Center of Molecular and Cellular Oncology (CMCO) and Department of Pathology
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year at Yale in dual affiliation with the Yale Child Study Center and the Yale Center for Brain and Mind Health (CBMH). Originally rooted in clinical psychological science, the Cha Lab strives to embody
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, microvascular function, cognition, or COVID-19. Candidates with advanced quantitative data analytic skills, including computational modeling, are particularly encouraged to apply. Familiarity with medical