Research Assistant, Computational analysis [LKCMedicine]

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.

The Data Science and Artificial Intelligence programme of LKCMedicine is a cross cutting programme that aims to bridge the gap between data science and medicine. The key objective is to support efforts to advance biomedical research using computational methods.

For more details, please view https://www.ntu.edu.sg/medicine/research/research-programmes/data-science.

We are looking for a Research Assistant to work on biomedical problems using computational approaches. The role will focus on the creation of a computational pipeline for oncology.

Key Responsibilities:

• Development of computational pipeline to support research

• Communication with researchers to understand biological problems

• Facilitate the translation of biological problems to actionable computational analysis plans

• Execution of analysis plans and its subsequent interpretation

• Generate analysis reports and communicate them to researchers

• Management of the collaboration research data to ensure compliance to data policies

• Development of computational methods and systems in support of the research activities

Requirements:

• A BSc or MSc in Bioinformatics or similar field (Life Science or Computational Science graduates with keen interest in bioinformatics welcomed)

• Experience with working with biological data

• Good communication skills to communicate with life science/medical researchers to understand biological problems and communicate analytical results

• Customer focused approach to collaboration

• Ability to understand biological problems and translate them to computational problems

• Ability to code in a programming language to solve computational problems

• Awareness of computational infrastructure and its upkeep

• Ability to work on multiple projects in parallel and set priorities

• Willingness to provide training to staff and students in the area of bioinformatics

• Keen interest in the field of bioinformatics and willingness to try new methods and improve on existing ones