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J&J Family of Companies

AI/ML Senior Scientist in Drug Discovery Data Sciences

J&J Family of Companies, Spring House, Pennsylvania, United States, 19477

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AI/ML Senior Scientist

Johnson & Johnson is recruiting an AI/ML Senior Scientist to join the Drug Discovery Data Science organization to be located at Beerse, Belgium or Spring House, US. Intelligent Automation refers to the bidirectional coupling between automated lab equipment and Artificial Intelligence (AI). Through successive iterations, such close feedback loop systems facilitate the AI-driven design, execution, and analysis of experiments and utilize a wealth of in silico methodologies. Within the Drug Discovery Data Sciences organization of Johnson & Johnson Innovative Medicine we have an open position for a Chemometrician with strong AI/ML expertise at the level of senior scientist that will play a pivotal role in our strategic effort to integrate AI/ML analytics with online and offline data production systems for both small and large molecules. To do so, the new member will collaborate within interdisciplinary teams comprising biologists, medicinal chemists, data scientists, computational chemists, and IT experts across all therapeutic areas. Role and Responsibilities: Drive current efforts to introduce review by exception, online QC and advanced analytics in both online and offline wet labs. Develop and productize in silico suites, using AI/ML and other appropriate modeling methodologies, to tackle chemometrics problems in different settings. Actively participate in evaluation of third-party solutions, proposing PoCs, benchmarks, etc. Work closely with IT, engineering, and Lab-tech to implement solutions. Communicate results in audiences with heterogeneous background. Requirements: A PhD in chemometrics that reflects expertise in AI/ML methods. Experience with chemical and/or biological data. Knowledge of Python development and affinity with AWS (or similar cloud environments). Strong interpersonal, organizational, and communication skills. Motivation to be part of a team that celebrates diversity and offers an inclusive working environment where creativity and innovation can thrive.