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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