Manager/ Senior Manager - NDCT Associate Project Manager

A*STAR - Agency for Science, Technology and Research; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

A*STAR - Agency for Science, Technology and Research is seeking a Manager/Senior Manager for the NDCT Associate Project Manager role in Singapore. The position involves coordinating cross-institutional data curation projects, engaging with clinicians, and translating clinical requirements into actionable guidance. Candidates should have a degree in a relevant field and experience with clinical data. Strong communication skills, attention to detail, and understanding of medical terminology are essential. The role supports vital health data initiatives to benefit Singapore and its citizens.

Qualifications

• Demonstrated experience working with clinical or healthcare data from human subjects.
• Ability to read and interpret medical terminology and clinical concepts.
• Excellent written and spoken communication skills in English.

Responsibilities

• Coordinate cross-institutional data curation projects.
• Engage with clinicians and data owners.
• Translate requirements into guidance for technical teams.

Skills

Experience with clinical or healthcare data

Strong communication skills

Organizational skills

Detail-oriented and process-driven

Education

Degree in Life Sciences, Biomedical Engineering, Bioinformatics, Health Informatics, or Medicine

Tools

R

Python

Job description

Manager/Senior Manager – NDCT Associate Project Manager

The Biomedical Data Hub (BDH) curates and maintains strategic deidentified health data cohorts and supports researchers and innovators with expertise in bioinformatics and AI. 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 fair data principles.

As a NDCT Project Manager you will play a critical translation role between clinicians, researchers, data owners, and technical teams. This role requires strong understanding of medical and research data, including human genomics and clinical data, so that requirements from healthcare and research stakeholders can be accurately translated into technical and curation specifications. 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 practitioner yourself, you may be called upon to support curation efforts hands‑on or propose resolutions to common issues. This role is not a general project management position. It is intended for candidates who are comfortable reading, discussing and reasoning about medical and biomedical data, and who can confidently engage with clinicians and biomedical researchers. Experience limited to non‑human, synthetic or simulated datasets is not sufficient for this role.

Responsibilities

• Coordinate cross‑institutional data curation projects involving clinical, genomics, and biomedical research data
• Engage directly with clinicians, clinical researchers, and healthcare and research data owners to understand provenance clinical meaning, limitations and intended use of data
• Translate clinical and research requirements into actionable guidance for data curators and technical teams
• Support curation of biomedical and clinical data, including structured and unstructured clinical data and omics datasets
• Scope and size data curation and clean‑up projects using human curators and automated tools
• Set up evaluations of new technologies and advocate for their adoption (e.g. AI data curation) as appropriate, develop tools as a community resource
• Develop and implement strategies for data curation, standardisation, clean‑up and performance monitoring of teams and technology
• Establish and improve operational processes, SOPs, KPIs and measurements for data curation quality and productivity
• Identify recurring data quality or interpretation issues arising from real‑world workflows and propose practical resolutions
• Work with data stewards and other stakeholders to ensure research objectives are met
• Keep pace with evolving data standards and curation best practices for implementation within NDCT team and larger ecosystem

Requirements

• Degree in Life Sciences, Biomedical Engineering, Bioinformatics, Health Informatics, Medicine or related field
• Demonstrated experience working with clinical or healthcare data derived from human subjects, including direct engagement with clinicians, healthcare professionals, healthcare institutions or healthcare data owners
• Ability to read, interpret and understand medical terminology, clinical concepts, and biomedical research data (e.g. diagnoses, procedures, laboratory results, clinical outcomes)
• Excellent written and spoken communication skills (English) with ability to bridge clinical, research, and technical audiences
• Detail‑oriented and process‑driven, with strong organisational skills
• Basic financial and accounting literacy, including the ability to conduct benefit/cost analysis

Preferred

• Advanced degree (MS, PhD or equivalent) or BSc with relevant work experience in a biomedical or health‑related discipline
• Experience working with healthcare data (e.g. medical records, clinical registries or hospital‑derived datasets)
• Working knowledge of bioinformatics or data analysis tools (e.g. R, Python)
• PMP certification