Senior Computer Scientist – AI-Enhanced Drug Discovery Platform
Led the integration and training of AI models for drug discovery, focusing on annotating and validating assay and omics data. Collaborated with cross-functional teams to prepare, label, and curate real-world molecular and cellular data for supervised and unsupervised learning pipelines. Used state-of-the-art platforms and proprietary tools to iteratively train and validate deep learning models suited for biomedical research. • Coordinated data labeling workflows collaborating closely with medical scientists and AI engineers. • Labeled multi-omics, assay, and imaging datasets for model training, validation, and evaluation purposes. • Applied classification and annotation methods using proprietary and open-source platforms including AlphaFold-3, Schrödinger, and Rosetta. • Prioritized biological relevance in labeled datasets to ensure robust downstream AI model performance.