Postdoctoral Research Fellow, Machine Learning
Core
Develop, validate, and deploy machine learning models to improve clinical decision-making for diagnosis, treatment, and radiograph analysis in musculoskeletal care.
Role type
Postdoctoral Research Fellow (Machine Learning)
Builds
Production ML models and pipelines for clinical applications
Domain
Healthcare / Orthopaedics / Artificial Intelligence
Deliverable
production ML models
Required skills
Machine learning, deep learning, large language models, multimodal data analysis, explainable AI, statistical analysis, software development, database design
Preferred skills
Experience with medical imaging (X-ray, CT, MRI), electronic health records, supervised/unsupervised/self-supervised learning, research proposal writing
Technologies
X-ray, CT, MRI, Electronic Health Records (HER), Large Language Models
Responsibilities
Design and implement ML and deep learning models for orthopaedic applications; Work with multimodal clinical data including medical imaging and EHRs; Apply various learning methods and develop explainable AI approaches; Collaborate with surgeons and researchers to finalize variables and features; Build, train, evaluate, and deploy ML projects; Present findings and produce conference abstracts and manuscripts; Support future research proposals; Supervise undergraduate students on AI/ML projects
Seniority
Postdoctoral, independent researcher