Design and implement clinical fine-tuning of multimodal transformer models for drug discovery.
•We are seeking a Machine Learning Scientist to join the Enchant team at Iambic Therapeutics.
•In this role, you will design and implement clinical fine-tuning of Enchant, our multimodal transformer model trained on a wide variety of biomedical data, pushing the boundaries of what large-scale foundation models can achieve in drug discovery.
•This role spans data sourcing through to production deployment.
•You will identify, curate, and evaluate datasets that support prediction of relevant clinical endpoints.
•Key Responsibilities Fine-tune large-scale multimodal transformer models for clinical and biomedical applications Identify, characterize, and utilize datasets that can deliver insights into pharmacokinetics (PK), pharmacodynamics (PD), toxicity, clinical adverse events, and clinical trial outcomes Develop and apply rigorous experimental approaches that account for multiple sources of potential leakage Design and maintain benchmarking and evaluation frameworks that track model quality Build models with appropriate calibration, uncertainty quantification, and clinically meaningful evaluation metrics.
•Requirements MS in chemistry, bio/chemical engineering, or a computational STEM field with 3+ years of relevant industry or research experience, or PhD or equivalent industry experience demonstrating comparable depth Strong Python experience, including implementing and fine-tuning deep learning models Demonstrated experience in clinical science or working with clinical datasets Excellent Data Science skills (problem framing, data sourcing, extraction, cleaning, visualization, EDA, modeling, tuning, storytelling, etc.) Enough independence to own a workstream from data ingestion through evaluation