Research Associate (Data Engineer)
National University of Singapore
- Singapore
- Permanent
- Full-time
Accept ClosePress Tab to Move to Skip to Content LinkSearch JobsJob DescriptionJob Title: Research Associate (Data Engineer)Posting Start Date: 24/06/2025Job Description:Job DescriptionThe National University of Singapore invites applications for Research Associate (Data Engineer) in the Department of Biochemistry, Yong Loo Lin School of Medicine. Specifically, utilising data science approaches involving machine learning and artificial intelligence, A/Prof Gruber's team focuses on the development and validation of biological ageing clocks for clinical translation and application. Appointments will be made on a two-year contract basis, in the first instance, with the possibility of extension.Purpose of the postThe successful candidate should have a strong background in database administration, management and warehousing, as well as advanced machine learning, artificial intelligence, and bioinformatics techniques. Specifically, he or she will be responsible for curating and organising existing clinical databases, assist with the deployment and validation of algorithms using these databases, and related data analysis. The ideal candidate will have a strong understanding of SQL and expertise in programming languages such as Python and/or R.Main Duties and ResponsibilitiesThe Research Associate will be mainly responsible for the organisation and management of clinical databases, work with other team members to deploy biological ageing clock algorithms, and support the implementation of data systems and analytics pipelines for longitudinal trials in these databases. He or she will be accountable to the Principal Investigator (PI). The Research Associate will be able to: * Organise and manage clinical databases (in SQL), as well as liaise with external collaborators to maintain data operability and regulatory compliance;
- Build data systems to reduce manual data processing and integrate warehousing;
- Develop and apply computational models, algorithms, and tools to analyse and interpret large-scale clinical datasets
- Collaborate with data scientists to design and analyse experiments, and interpret results;
- Stay up-to-date on new computational methods and tools, and apply them to ongoing research projects;
- Communicate research findings through publications, presentations, and reports.
- Professional certification or equivalent in Data Engineering
- Strong programming skills in SQL, Python and/or R;
- Experience with clinical data analysis and interpretation;
- Excellent communication and collaboration skills;
- Strong problem-solving skills and ability to work independently;
- Prior experience with biomedical and clinical data, especially in the context of age-dependent diseases and ageing would be advantageous.