Machine Learning Scientist – Clinical Prediction

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 (split, metadata, trial-family, temporal, ontological, arm-comparator, etc.)
• Design and maintain benchmarking and evaluation frameworks that track model quality across models and tasks
• Build models with appropriate calibration, uncertainty quantification, and clinically meaningful evaluation metrics.
• Collaborate with ML and software engineering colleagues to deploy and operationalize models
• Partner with clinical scientists and pharmacologists to ensure model development is grounded in drug discovery and development needs
• Communicate results to internal teams, external partners, and at conferences
• Generate high-quality research and engineering code: refactor, test, document, and package ML components to support team velocity

REQUIRED QUALIFICATIONS

• 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
• Strong engineering habits: reproducible experimentation, appropriate control strategy, clean code, testing
• Comfort working with modern ML infrastructure (e.g., Docker, CUDA, Kubernetes, experiment tracking such as Weights & Biases)

PREFERRED QUALIFICATIONS

• Experience building and deploying clinically relevant prediction models
• Familiarity with ClinicalTrials.gov/AACT data
• Experience with MedDRA, pharmacovigilance, or adverse event data
• Direct exposure to multi-task learning
• Hands-on experience with agentic data extraction
• HPC or large-scale computing experience

ABOUT IAMBIC THERAPEUTICS

Iambic is a clinical-stage life-science and technology company developing novel medicines using its AI-driven discovery and development platform. Based in San Diego and founded in 2020, Iambic has assembled a world-class team that unites pioneering AI experts and experienced drug hunters. The Iambic platform has demonstrated delivery of new drug candidates to human clinical trials with unprecedented speed and across multiple target classes and mechanisms of action. Iambic is advancing a pipeline of potential best-in-class and first-in-class clinical assets, both internally and in partnership, to address urgent unmet patient need. Learn more about the Iambic team, platform, pipeline, and partnerships at iambic.ai.

MISSION & CORE VALUES

Our mission is to deliver better medicines through innovations in AI-based discovery technologies. The culture and work at Iambic Therapeutics are profoundly strengthened by the diversity of our people and our differences in background, culture, national origin, religion, sexual orientation, and life experiences. We are committed to building an inclusive environment where a diverse group of talented humans work together to discover therapeutics and create technologies.