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 seeking to hire a highly motivated Research Fellow to advance AI-driven multi-omics research for precision medicine and healthy aging. The role will focus on developing and applying computational and artificial intelligence approaches.

Key Responsibilities:

•   Conduct Scientific Research of Multi-omics Data

•   Develop New Algorithms for Multi-omics Data Integration

•   Apply for Funding and Grants

•   Writing Scientific Manuscripts

•   Maintenance of Bioinformatics Pipelines in the Lab  

Key Competencies and Qualifications requirements:

•   A Ph.D. degree in Bioinformatics, Computational Biology or relevant majors.

•   Proficiency in data analysis using R, Python, or similar programming languages.

•   Excellent communication skills and a team-oriented mindset.

•   A strong track record of publications or preprints in relevant areas.

•   Proficiency in English and exceptional writing abilities.

•   Prior experience in microbiome and metabolome research is advantageous.