Machine Learning Scientist – Clinical Prediction

What you'll do

• Source, curate, and evaluate clinical datasets for outcome, safety, toxicity, and PK/PD prediction.
• Build leakage-resistant experiments, benchmarks, and calibrated models with clinically meaningful evaluation metrics.
• Work with ML, software, clinical, and pharmacology colleagues to deploy models and communicate findings.

What they ask for

• 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 implementing and fine-tuning deep learning models.
• Demonstrated experience in clinical science or working with clinical datasets.
• Strong data science and engineering skills, including reproducible experimentation, control strategies, clean code, and testing.

Nice to have

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

Pay

$148K – $186K (base salary)

Tools

Python, Docker, CUDA, Kubernetes, Weights & Biases, ClinicalTrials.gov/AACT, MedDRA

AI focus

Fine-tuning large-scale multimodal transformer models for clinical and biomedical prediction, including trial outcomes, safety/toxicity, and PK/PD response.