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Staff ScientistData & Computation

Senior Specialist, Data Science & AI

Novartis · Cambridge (USA), United States

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Not stated
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Employer funding
No recent SBIR/STTR award on record
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About the role

Job Description Summary Location: Cambridge #LI-Hybrid 3 days/week in office 138,600.00 - 198,000.00 - 257,400.00 USD Annual This role within the Applied AI, Low Molecular Weight (LMW) group of AI4R will contribute to the development, evaluation, and application of AI methods and workflows for LMW drug discovery. Working closely with multidisciplinary project teams, engineers, and other data scientists, the successful candidate will build and benchmark the right AI approaches, algorithms, models and workflows, to maximize impact on key domains areas of biomedical research that will potentially lead to developing better drugs, faster. Job Description Purpose of the role Senior Expert (Applied AI, LMW Drug Discovery): Work within a global team of AI researchers and SME with core domain expertise in applying AI to low molecular weight drug discovery. Contribute to the conceptualization of AI methods and their applications for hit generation, lead optimization, pre-clinical analysis, including safety and PK/PD Develop, adapt and evaluate state-of-the-art AI/machine learning models, including foundation models, generative AI, multimodal AI, and agentic systems Establish rigorous evaluation and benchmarking frameworks to assess the robustness and scientific validity of models deployed in drug discovery applications Define translatable metrics that connect model performance to downstream scientific decisions, including assay-level or prioritization improvements, and experimental efficiency Help integrate of AI approaches into design-make-test-analyze (DMTA) cycles to accelerate LMW drug discovery Facilitate delivery of AI solutions through collaboration with Engineering and Product Development teams Communicate progress and impact to stakeholders and multidisciplinary audiences

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