Postdoctoral Research Associate - AI for Medical Imaging & Biomedical Informatics
Core
Develop advanced machine learning, deep learning, and foundational AI models for medical imaging, focusing on radiology and biomedical informatics to solve problems like segmentation, quantification, and biomarker discovery.
Role type
Postdoctoral Research Associate (AI/ML)
Builds
Novel AI approaches for medical imaging problems (segmentation, detection, quantification) and scalable data pipelines.
Domain
Healthcare / Medical Imaging / Artificial Intelligence
Deliverable
production ML models
Required skills
Python, Deep Learning (PyTorch/TensorFlow), Medical Imaging Algorithms (Segmentation/Detection), Transformer Architectures, LLMs, Data Curation, Version Control (Git), Evaluation Metrics (Dice/IoU/ROC)
Preferred skills
LLM Fine-tuning/Deployment, Non-radiology Imaging Modalities, Clinical Knowledge, DICOM Workflows, Biomedical Informatics, Cloud/HPC, Model Deployment, Regulatory Awareness
Technologies
PyTorch, TensorFlow, LLMs, Transformers, U-Net, Git, HPC
Responsibilities
Design and implement 2D/3D model architectures; Apply and adapt LLMs to biomedical problems; Stay current with AI research literature; Build scalable data preprocessing and model training pipelines; Develop quantitative imaging methods; Contribute to data curation/annotation; Collaborate with clinicians and engineering teams; Ensure reproducibility of experiments; Contribute to manuscripts and grant applications.
Seniority
Postdoctoral Researcher (Early Career)
