Senior/Research Fellow, AI in Mental Health [LKCMedicine] Full-time

Research Fellow Position

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, aims to be a model for innovative medical education and a centre for transformative research. 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 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:

• PhD degree in domain discipline or related field
• At least 1 years of relevant experiences in similar role / technical hands-on experience in specific scope
• Familiarity with required scope (e.g. national codes and standards)
• Good written and oral communication skills (if applicable)
• Proficiency in hard skills / job-specific abilities acquired through training e.g. specific programming languages, numeric and analytical skill
• Competent in soft skills / general personality traits e.g. information visualization, interaction design
• Interpersonal skill (e.g. Ability to work independently / develop solutions under strict timelines, meticulous and eye for details / excellent organizational / time management skills)