About the role
AI summarisedSenior research scientist role focused on developing and translating advanced AI/ML models—especially large language models, vision foundation models, and multimodal systems—for clinical and biomedical applications. The position involves cutting-edge R&D, collaboration with healthcare and industry partners, and scientific leadership through publications and funding acquisition.
ResearchOnsite
Key Responsibilities
- Research & Development o Develop novel architectures, training strategies, and optimization methods for LLMs, agentic AI, vision foundation model and multimodal foundation models.
- o Design and implement multimodal learning pipelines that integrate text, imaging, omics, and real-world clinical data.
- Translation & Collaboration o Prototype AI systems for clinical and biomedical applications (e.g., decision support, conversational AI, population health, drug discovery).
- o Benchmark models against state-of-the-art healthcare AI datasets and evaluation frameworks.
Requirements
- PhD in Computer Science, Artificial Intelligence, Machine Learning, or related fields
- Strong publication record in top AI/ML venues (e.g., NeurIPS, ICML, ICLR, ACL) or high-impact biomedical journals
- Deep expertise in LLMs, vision foundation models, or multimodal AI
- Strong skills in deep learning frameworks (PyTorch, TensorFlow, JAX) and distributed/HPC training
- Experience in large-scale LLM and/or foundation model training and deployment
- Experience with medical or biomedical data (EHR, clinical notes, imaging, genomics)
- Familiarity with biomedical ontologies and knowledge graphs (UMLS, SNOMED CT, PubMed)
- Understanding of AI ethics, safety, and regulatory considerations in healthcare