Job Responsibilities

1. Responsible for applying large language models (LLM) and multimodal models to medical scenarios, including clinical decision support, medical text understanding, medical imaging and structured data integration, etc.
2. Participate in the design, fine-tuning (Fine-tuning), post-training (SFT / RLHF / RLAIF) and inference deployment of medical domain-specific models.
3. Establish and maintain medical data processing workflows, including electronic medical records (EMR/EHR), clinical notes, medical images, and a medical knowledge base for cleaning, annotation, and management.
4. Collaborate with clinical doctors, researchers and medical experts to translate actual clinical needs into implementable AI solutions.
5. Design and implement medical application system backend services, supporting model inference, result tracking, auditing, and version management.
6. Participate in model evaluation and validation to ensure model accuracy, stability, interpretability, and safety in medical scenarios.
7. Assist in establishing a medical AI system's compliance process, support data privacy, information security, and ethical review requirements.
8. Write technical documents, application design specifications and experimental reports to support research publication and system continuous optimization.