Research Scientist, AI/ML Foundational Models

- Develop and train advanced AI models (LLMs, diffusion models, flow-matching architectures) tailored for drug discovery, utilizing extensive scientific databases - Fine-tune and adapt existing foundation models for specific applications in target identification, disease modeling, and molecular design - Construct multimodal foundation models that integrate diverse data types such as omics, biomedical imaging, and protein structures - Implement cutting-edge methods including graph neural networks and transformer-based models for diverse learning tasks - Leverage domain knowledge in biology, chemistry, and disease biology to inform model architecture choices and data evaluation strategies - Utilize state-of-the-art generative techniques for molecular generation and optimization tasks - Collaborate with interdisciplinary scientists to deploy foundation models addressing various discovery requirements - Stay updated with advancements in AI and multimodal learning; contribute to knowledge sharing and scholarly publications