The Lee Kong Chian School of Medicine (LKCMedicine) trains doctors who put patients at the centre of their exemplary care. The School, which offers both undergraduate and graduate programmes, is named after local philanthropist Tan Sri Dato Lee Kong Chian. Established in 2010 by Nanyang Technological University, Singapore, in partnership with Imperial College London, LKCMedicine aims to be a model for innovative medical education and a centre for transformative research. The School’s primary clinical partner is the National Healthcare Group, a leader in public healthcare recognised for the quality of its medical expertise, facilities and teaching. The School is transitioning to an NTU medical school ahead of the 2028 successful conclusion of the NTU-Imperial partnership to set up a Joint Medical School. In August 2024, we welcomed our first intake of the NTU MBBS programme, that has been recently enhanced to include themes like precision medicine and Artificial Intelligence (AI) in healthcare, with an expanded scope in the medical humanities. Graduates from the five-year undergraduate medical degree programme will have a strong understanding of the scientific basis of medicine, with an emphasis on technology, data science and the humanities.
We are looking for a Research Fellow in the Bio-Data Science and Education Laboratory to work on AI in mental health. The role will focus on developing predictive models for early detection of mental illness in youth cohorts in Singapore and New Zealand using a combination of extrinsic (behavioural) and intrinsic (biomolecular) data. You should have experience and/or be comfortable in dealing with the at least one of the following high-dimensional data-types: GWAS, RNA-sequencing, proteomic profiling, behavioural, etc. For this project, the ability to work with video, text, language modalities is particularly crucial.
Demonstrable expertise in integrative multi-omics and/or domain knowledge in psychiatry or neurobiology is especially favoured.
You will join a highly inter-disciplinary team comprising other computer and data scientists, computational biologists, educationists and technologists. There are ample opportunities for various cross-domain ventures.
Key Responsibilities:
• Deliver international standards of research
• Work with PI in the planning and execution of experiments and collation of data
• Data analysis and model development
• Scientific presentations and engagements
Required educational qualification, experience, skills and competencies (to delete / replace in following grey highlight, where applicable):