Senior Assistant Director / Deputy Director (National Data Curation Team), BDH Full-time

Senior Assistant Director / Deputy Director (National Data Curation Team), BDH

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).

As Sr. AD / Dy D – National Data Curation Team you are a member of the Biomedical Data Hub leadership team who will chart its strategic, operational and technological direction. You will lead a small coordinating office with with two responsibilities:

1) Forming and coordinating project-based teams to work on ecosystem data curation projects and on-boarding datasets into Biomedical Data Hub. You will push towards outcomes such as improved data quality, interoperability, and AI readiness of data to enable research an innovation. This could involve activities such as data clean-up, curation, transformation and ensuring adherence to minimum information standards. Team members maybe at BDH, A*STAR, other public sector agencies, or universities.

2) Forming and coordinating domain data working groups focused on standards identification for new data modalities or scientific/clinical domains. These working groups would decide on data standards to adopt to maximise data interoperability and reusability as well as resolve data curation issues.

Additionally, you will draw on insights gained in working with data and data owners to develop and implement strategies to level-up Singapore's data and data curation ecosystem. In all cases, your ability to influence across organisational boundaries will be tested daily as you and your team will be called upon to resolve technical and non-technical challenges to data curation, including stakeholder management.

Responsibilities:

• Develop and implement strategies for metadata and data curation and standardisation to create research- and AI-readiness datasets as well as facilitate data discovery.
• Identify, develop and promote data standards based on international best practices and alignment with local research needs. Where data standards are immature, baseline current state and develop adoption roadmaps.
• Establish and collaborate with expert working groups on data modalities of interest. This includes health data, imaging (clinical and cellular) and multi-omics data, to be priortised based on research objectives.
• Keep pace with evolving data standards and curation best practices for implementation within BDH.
• Scope and size data curation/clean-up projects using human curators and automated tools; Evaluate and advocate for adoption of new technologies (e.g. AI data curation) as appropriate (Also development of tools as a community resource)
• Develop and implement strategies for data curation, standardisation, and clean-up
• Develop and implement operational model for a national data curation team that allows BDH to address a wide array of data types and curation use cases, meet its service-level commitments while maintaining cost
• Create and update operating procedures, as required to build-up BDH capabilities
• Define KPIs and metrics to measure data curation quality and productivity
• Monitor performance of data curation projects to assess performance of teams and technology
• Work with data stewards and other stakeholders to ensure research objectives are met

Requirements

• Degree in Bioinformatics, Data Science, Engineering or related field
• 10 years experience in bioinformatics, data science or related field as a practitioner
• Working knowledge of interoperability standards, application, and trade-offs for health data (e.g. OMOP, HL7, FHIR, etc) and data modalities commonly used in research (e.g. genomics, spatial and single cell transcriptomics, proteomics, cellular imaging etc.
• Experience in data management workflow
• A good knowledge of database design and multiple programming languages.
• Ability to drive projects or deals to closure, resourceful in overcoming technical and bureaucratic hurdles, exercising good judgement in escalating where needed
• Strong communication skills and demonstrated ability to engage with and influence research performers
• MS Office proficiency

Desired/ Preferred Qualifications:

• PhD or equivalent strongly desired
• PMP certification good to have