Senior/Research Fellow [LKCMedicine] Full-time

Research Fellow / Senior Research Fellow

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 a motivated Research Fellow / Senior Research Fellow to join our research team to support research activities, which focus on advancing understanding of ageing patterns in Asian populations and their potential associations with disease. The candidate will play an important role in advancing research activities through the coordination of multiple sub-studies, organisation and management of research data, and generation of key research outputs. The successful candidate will contribute to data analysis, interpretation of findings, and preparation of reports, presentations, and scientific publications. In addition, the candidate will work closely with collaborating researchers and stakeholders to ensure the smooth implementation of study activities and timely achievement of project milestones.

Key Responsibilities:

• Provide bioinformatics analyses for large scale multi-omics datasets, including genomics, transcriptomics, proteomics, metabolomics, lipidomic data
• Design, implement and troubleshoot bioinformatics pipelines for high-throughput biological data analysis
• Perform data cleaning, integration, statical analysis and interpretation of complex biological datasets
• Develop and maintain data management workflows for data processing and analysis
• Manage, organise and maintain research datasets to ensure data quality, integrity, security and compliance with institutional and ethical guidelines
• Collaborate closely with cross-disciplinary teams, including internal team members and external collaborators to support project implementation and data driven research objectives
• Stay up to date with emerging bioinformatics methodologies, computational tools and technologies and incorporate relevant approaches into ongoing research projects
• Contribute to grant writing, publications in peer-reviewed journals and present research findings at conferences, seminars and meetings
• Support the timely achievement of research milestones and contribute to the overall advancement of ageing and disease-related research initiatives

Required educational qualification, experience, skills and competencies:

• PhD degree in Bioinformatics, Computational Biology, Computer Science, Molecular Biology or related field.
• At least 2 years of relevant experience in bioinformatics with hands-on expertise in data analysis especially in multi-omics integration and ageing research.
• Proficiency in programming and scripting languages such as R, Python, Bash, or similar computational tools commonly used in bioinformatics research
• Experience in developing, implementing, and optimising bioinformatics pipelines and data analysis workflows in Linux or high-performance computing environments
• Knowledge of statistical analysis methods, data integration approaches, and reproducible research practices
• Familiarity with biological databases, omics analysis platforms, and relevant bioinformatics software and tools
• Strong analytical, problem-solving, and critical-thinking skills with the ability to interpret complex biological datasets
• Demonstrated ability to work independently as well as collaboratively within multidisciplinary and cross-institutional research teams
• Good project management and organisational skills, with the ability to manage multiple priorities and meet project timelines