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.