The Biomedical Data Hub (BDH) curates and maintains strategic deidentified health data cohorts and supports researchers and innovators with expertise in bioinformatics and A.I. Its mission is to act as a trusted research node that unlocks the value of digital health data to support cutting edge science and digital health solutions that will benefit Singapore and Singaporeans. BDH is a national platform hosted by the Agency for Science Technology and Research (A*STAR) in partnership with Ministry of Health (MOH) Singapore and is funded by Singapore's National Research Foundation (NRF).
The purpose of the National Data Curation Team (NDCT) is to lead and coordinate cross-institutional teams to support data curation and standardisation projects, including on-boarding data to MOH TRUST and Biomedical Data Hub, improving data quality, interoperability, and AI readiness through activities such as data cleaning, transformation, and standards compliance. NDCT also, establishes and facilitates domain-specific data working groups to identify and adopt appropriate data standards for emerging data types, resolving curation issues and maximising data reuse following F.A.I.R. principles.
As an NDCT associate you will coordinate project teams, develop and improve processes, define and implement measurement systems, organise meetings and events (including training) and support day-to-day operations. As a data curation practioner yourself, you may be called upon to support curation efforts hands-on or propose resolutions to common issues.
Responsibilties:
Requirements:
- Degree in Science, Biomedical Engineering, Bioinformatics or related field
- Strong people skills
- Detailed and process oriented
- Excellent written and spoken communication skills
- Basic financial and accounting literacy, including the ability to conduct benefit/cost analysis
- MS Office proficiency (esp. MS Excel and PowerPoint)
Desired/Preferred Qualification
- Advanced degree (MS, PhD or equivalent) would be viewed favourably
- PMP certification good to have
- Working knowledge of data science / analytics software (e.g. R, Python) and related libraries
- Previous experience in bioinformatics and/or data science strongly desired