Clinical Machine Learning Scientist

Job Summary

To advance drug discovery efforts, the full-time Clinical Machine Learning Scientist will design and implement clinical fine-tuning of a multimodal transformer model, focusing on data sourcing, model optimization, and collaboration with clinical teams, in a hybrid work environment.

Key Responsibilities

• Fine-tune large-scale multimodal transformer models for clinical and biomedical applications
• Identify, characterize, and utilize datasets that deliver insights into pharmacokinetics, pharmacodynamics, and clinical trial outcomes
• Develop rigorous experimental approaches and maintain evaluation frameworks to track model quality

Required Qualifications

• MS in chemistry, bio/chemical engineering, or a computational STEM field with 3+ years of relevant experience, or PhD with equivalent industry experience
• 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, including data sourcing, extraction, cleaning, and modeling
• Comfort working with modern ML infrastructure such as Docker and Kubernetes