Research Fellow (Contract, Kkrc)

Key Responsibilities: Analyse and integrate healthcare data and public knowledge sources. Develop, fine-tune, and validate small LLMs to support clinical decision-making and interventions. Apply machine learning and NLP techniques to clinical narratives, biomedical text, and unstructured health data. Collaborate with clinicians to identify high-impact problems and translate them into technical solutions. Ensure data quality, security, and compliance with ethical AI principles. Contribute to publications and presentations on applied clinical AI and health data science. Participate in hospital/division initiatives and activities when assigned. Job Requirements PhD in Data Science/Computer Science, or related discipline + 2 yrs’ post-doc experience. Excellent programming skills in Python. Proficiency with machine learning frameworks (scikit-learn, TensorFlow, PyTorch). Ability to communicate results clearly to clinical and non-technical audiences. Experience with and/or interest in novel deep learning architectures – e.g., fusion or energy-based models and fine-tuning large language models. Exposure to EHR data and healthcare data standards and ontologies (e.g., SNOMED CT, ICD, LOINC, HL7/FHIR). Familiarity with MLOps best practices. Prior experience in multi-disciplinary teams involving clinicians, researchers, and policymakers. We regret to inform that only shortlisted candidates will be notified via email. Thank you for your application.