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(Senior) Scientist, Multimodal Biological Reasoning

Flagship Pioneering, Inc.·US·Cambridge, MA USA·senior
ml
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About Pioneering Intelligence Pioneering Intelligence builds on Flagship Pioneering’s legacy of founding cutting-edge science and computational ventures, harnessing recent advances in AI, machine learning, and data to accelerate fundamental research and create a portfolio of AI-first companies. As part of Flagship’s integrated model of science, entrepreneurship, and capital, it transforms breakthrough ideas into world-changing companies, elevating the AI advances happening across the ecosystem in human health, sustainability, and beyond. The Role Pioneering Intelligence is seeking a Senior Scientist for Flagship's ambitious efforts to build polyintelligent AI systems that unify human scientific expertise, machine intelligence, and nature’s biological signals into multi-modal, multi-scale reasoning engines for biology. As a Senior Scientist, you will have the unique opportunity to shape our biological reasoning efforts on both the technical and application levels. You will be a key contributor on a team innovating on machine learning model architectures that will create best-in-class biological reasoning engines that tackle the unconventional life sciences problems that Flagship pursues. You will work with teams in Pioneering Intelligence and Flagship-at-large to apply our reasoning engines to discover new biology and engineer new biological solutions through massively parallel in-silico reasoning. Key Responsibilities Design technical architecture, training strategies, and evaluations for a multi-modal, multi-scale biological reasoning model. Train and validate large-scale biological reasoning models. Development and curation of novel biological datasets. Construct new datasets and benchmarks to empirically evaluate biological validity and generalization. Translate biological questions into well-defined ML problems, build and scale training data pipelines and model benchmarks for downstream applications. Contribute to the technical and product roadmap, data strategy

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