Lila Sciences is seeking a Machine Learning Scientist to develop data-efficient ML methods for drug discovery, focusing on low-quantity datasets and targeted chemical spaces. This role combines active learning, meta-learning, uncertainty estimation, and experimental design to guide data acquisition and model-driven decision making.
You will build multimodal models integrating DEL data, simulations, assays, and structural information, and collaborate with experimental and computational teams to
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Senior Data-Efficient ML Scientist for Drug Discovery employer: Lilasciences
Lila is an exceptional employer that fosters a collaborative and innovative work culture, perfect for those passionate about advancing AI safety. Located in a vibrant tech hub, employees benefit from continuous professional development opportunities, a supportive team environment, and the chance to make a meaningful impact in the field of advanced scientific capabilities. Join us to be at the forefront of cutting-edge research while enjoying a balanced work-life dynamic.
