Sam Lambert

Sam Lambert is an Assistant Professor of Health Data Science at the University of Cambridge, focusing on understanding and predicting patterns of multimorbidity related to cardiometabolic diseases and promoting open science principles for polygenic scores. With experience as a Senior Research Associate, Postdoctoral Fellow, and Visiting Researcher at various institutions, Lambert has contributed to the development of the Polygenic Score Catalog. As a Fellow at Churchill College, University of Cambridge, responsibilities include providing student supervision and serving on the equality, diversity, and inclusion committee. Lambert holds a Ph.D. in Molecular Genetics from the University of Toronto and has previously engaged in teaching and mentoring roles in higher education institutions.

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Cambridge, United Kingdom

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European Bioinformatics Institute | EMBL-EBI

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Working at EMBL-EBI gives you the opportunity to focus your energy and skills on something that really matters: using technology to contribute to discoveries that benefit humankind. We empower researchers everywhere to realise the potential of ‘big data’ in biology, and build sophisticated tools for exploring life at the atomic level.


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501-1,000

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