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funding. Qualifications Candidates should possess a PhD, preferably in epidemiology and/or health data sciences and be interested in developing their career skills through an interdisciplinary, team
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. Other projects may be added to the portfolio in the future. Key responsibilities: Support with project coordination including overseeing research design, data collection and analysis, leading meetings and
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field including computer science, law, philosophy, public policy, social sciences, or a relevant interdisciplinary area. A strong publication record or evidence of potential for high-quality peer-reviewed
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epidemiology, biostatistics, and/or health data sciences. Candidates with research experience analyzing longitudinal cohort or health registry data using causal inference methods, as well as those with research
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genetics as well as strong quantitative and computational skills. The postdoc will lead projects where they develop and apply new methods for the analysis of human genomic data. Individuals from diverse