Senior Machine Learning Engineer
Core
Build and deploy AI-driven products and scalable machine learning solutions to accelerate clinical trials and improve patient outcomes in clinical research.
Role type
Senior Machine Learning Engineer (Clinical Research)
Builds
AI-driven products, scalable ML solutions, and AI knowledge base architecture for clinical research workflows.
Domain
Healthcare / Clinical Research / AI
Deliverable
production ML models
Required skills
Python, TensorFlow/Pytorch, SQL, AWS (Athena, Bedrock, SageMaker), MLOps, CI/CD, Docker, NLP, Large Language Models (LLMs), probabilistic modeling
Preferred skills
Clojure, functional programming
Technologies
Python, Clojure, AWS, dbt, Prefect, Docker, CI/CD tools
Responsibilities
Develop advanced ML models and LLM-powered agents for patient recruitment and enrollment forecasting; build robust data pipelines and deploy models at scale; collaborate with cross-functional teams to integrate AI capabilities into the platform; continuously learn and innovate with cutting-edge ML/AI techniques.
Seniority
Senior, hands-on IC
