Manager/Senior Manager, Research Enablement, Singapore

The RIE TRUST Office has been established to enable the strategic use of data by Singapore’s RIE ecosystem in a manner that engenders public trust. Through supporting data‑driven research, it aims to drive scientific excellence, strengthen national research innovation capabilities and competitiveness, and create impactful solutions. The Office operates under the purview of NRF and is administratively hosted in A*STAR.

The Office oversees the development and operations of enTRUST, a data sharing and analytics platform that supports the safe use of research and real‑world datasets to enable health research data analytics, improving health outcomes for Singapore and supporting data‑driven innovation.

• Engaging with researchers and clinicians in various fields of health research to help them understand the data platform’s features and functionalities.
• Gathering user needs and feedback and communicating them back to internal teams to further enhance the data platform’s features and roadmap.
• Working closely with researchers and clinicians to test and validate new data sharing approaches, privacy‑enhancing technologies and solutions as part of the platform’s development and enhancement.

• Support the design and prototype solutions to demonstrate usage scenarios using the data platform and genomics tools available on the platform.
• Work with internal and external stakeholders to enable them to effectively use data and genomics tools available on the platform.
• Support training activities including the development of training materials such as demo data, data science notebooks, videos, and delivering the training.
• Apply domain knowledge to support the quality assurance process of data release.
• Respond to and follow up users’ requests related to the platform usage and resources, and analyze them.
• Lead engagement with users to understand their research needs and suggestions for additional features, analyzing and mapping the requests to the features supported by the data platform.
• Work cross‑functionally with different team members to perform user feedback review and provide reports to support solution development and upgrade.

• Minimum degree in Bioinformatics, Biomedical Informatics, or a related discipline with a strong computational and statistical foundation required. An advanced degree (Master’s) in a relevant discipline is advantageous. Prior experience in a Technical Support role is also highly desirable.
• Familiar with genomic research tools and pipelines for population health such as regenie, PLINK, etc., and with WGS and microarray data file formats.
• Experience with the following data formats will be highly regarded: Variant Dataset (VDS), Hail MatrixTable (MT), Variant Call Format (VCF), Binary GEN format (BGEN), and PLINK bed/bim/fam triplets.
• Proficiency in Python programming for data science and analytics, R for statistical analysis and modelling, and shell scripting and CLI tools.
• Experience (minimum 2 years) in applying statistical and machine learning techniques in healthcare research would be highly regarded.
• Experience with handling big data, application of parallel computing, biomedical, clinical and/or pharmaceutical data analysis will be an added advantage.
• Good knowledge of core AWS services and solutions. An AWS certification is advantageous.
• Team player who can communicate effectively within and across teams and stakeholders.