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Cambridge CARES in Singapore seeks a Research Ethics and Data Governance Manager to lead governance across data and AI use for BloodCounts!-AI4S. You will ensure compliant ethics submissions, data handling, and stakeholder coordination with Singaporean partner institutions.
You will train researchers, manage records, coordinate with IRBs and regulators, and contribute to policy development in a multi-institutional setting.
Full-time Contract Professional
Posted 26 Aug 2026
We are Cambridge CARES, the University of Cambridge’s research centre in Singapore, established under the National Research Foundation (NRF) CREATE programme CAM.CREATE. Within Cambridge CARES, BloodCounts! is a collaborative research initiative bringing together the University of Cambridge, A*STAR, NTU, NUS, SingHealth, and many other partners in the Belgium, The Gambia, Ghana, India, the Netherlands and the UK (www.cares.cam.ac.uk/research/bloodcounts).
BloodCounts!-AI for Science (AI4S) focusses on elevating the value of the complete blood count (CBC*), the most common clinical test globally, by developing new AI methodologies. In particular, we have access to population scale raw flow cytometry data that is used to generate the summary CBC report used by millions of clinicians and healthcare workers on a daily basis. We have demonstrated that applying AI methods to this data allows for additional insights to be discovered, such as identifying markers for cancers, iron deficiency and pregnancy outcomes.
This NRF AI for Science project will develop multi-modal foundation models of the blood using not only flow cytometry data but also cell level imaging data. These will be developed using anonymised data from NUHS and SingHealth patients, with the aim of developing a population scale foundation model of blood that performs equitably for all genetic ancestries in Singapore. The models developed will be applied to clinical studies for Stroke and Lung Cancer, with the aim to identify new biomarkers that impact clinical treatment.
This project will integrate into the wider BloodCounts! consortium (www.bloodcounts.org), allowing for co-development of models and testing of hypotheses in European, African, South Asian and East Asian populations. Researchers globally will be able to access our models and insights through a secure platform, APIs and open sourced code and models that may be fine-tuned.
The BloodCounts!-AI4S Team is led by Profs. Michael Roberts and Carola-Bibiane Schönlieb (Department of Applied Mathematics and Theoretical Physics (DAMTP), University of Cambridge) and Prof. Lin Weisi (College of Computing & Data Science, Nanyang Technological University). They are supported by the following Principal Investigators: Dr. Nicholas Gleadall (University of Cambridge), Prof. Hui Ji (NUS), Dr Shir Ying Lee (NUHS), Prof. Mickey Koh (St. George’s Hospital, London; ACTRIS, Singapore), Dr Hwee Kuan Lee (A*STAR), Prof. Parashkev Nachev (University College London Hospitals), Prof. Willem H Ouwehand (University of Cambridge), Dr Suthesh Sivapalaratnam (Barts Health, London) and Prof. Iain Bee Huat Tan (SingHealth), alongside a large group of collaborators.
The Research Ethics & Data Governance Manager will own the governance of the BloodCounts!-AI4S programme across the full lifecycle of data and AI use, ensuring that data, models and research activities are conducted ethically, legally, securely and in accordance with institutional, national and international requirements. Specifically, they will ensure that the BloodCounts!-AI4S research activities at CARES and its Singapore partner organisations comply with all relevant ethical, legal, and institutional requirements in Singapore, and will serve as a central contact point for researchers, administrators, and collaborators on matters related to research integrity and responsible conduct of research. They will also be responsible for ensuring that the project is compliant with all obligations and requirements of collaboration agreements, data access agreements and all other legal agreements. They will ensure good project governance through coordination with the Senior Management Team, Programme and Steering Committees, and Advisory Board, whilst ensuring all ethics and data governance documentation for the BloodCounts!-AI4S project is maintained.
The role holder will develop, coordinate and maintain the overarching research ethics applications and keep meticulous records of all amendments to the study protocol. They will be accountable to the responsible officer of the Senior Management Team on the preparation and review of documents for the relevant research ethics committees, submitting minor and substantial amendments, preparing progress reports and maintain renewals of ethics permissions. The role holder will be responsible for obtaining the appropriate permissions required when setting up the BloodCounts!-AI4S studies at NUHS and SingHealth. In all research activity whilst working closely with the BloodCounts!-AI4S team at CARES the postholder will also be the primary contact for ethics and data governance matters for Principal Investigators and Collaborators based at Singaporean organisations participating in the BloodCounts!-AI4S project. The role holder will provide ethics and data governance training and guidance to BloodCounts!-AI4S researchers and will keep in regular contact with the ethics and data governance manager in the UK.
The role spans the full lifecycle of data and AI use in the programme, and is organised around five governance pillars:
1. Ethics & regulatory approvals. IRB submissions, amendments and renewals; regulatory and institutional compliance; and ethics support to investigators.
2. Data access & governance. Data access requests and approvals; researcher onboarding, offboarding and periodic access reviews; and governance of data sharing, transfer and usage, with audit and compliance monitoring.
3. Data stewardship & lifecycle management. Dataset inventories and metadata; oversight of data provenance, lineage, retention and secondary use across institutions; and data quality and documentation standards.
4. AI & model governance. Oversight of AI/ML model development, validation, deployment, monitoring and documentation; transparency and reproducibility of model-development workflows; and maintenance of model and project governance records.
5. Programme governance & stakeholder management. Secretariat support for the data access and governance committees; governance reporting and risk management; and coordination across partner institutions.
* CBC, also known as FBC or Full Blood Count
Primary Coordinating Responsibilities (20%)
Research Ethics Responsibilities (20%)
Organisational (20%)
Coordination of research studies (20%)
Educational and Training (10%)
Public Engagement (10%)
Please note that this post is mainly based in the CREATE Tower at NUS University Town, Singapore.
The position is available for an immediate start and is offered on a fixed-term contract of two years in the first instance, with the possibility of extension.
The Cambridge Centre for Advanced Research and Education in Singapore (CARES) was established in 2013 as the University of Cambridge’s first research centre outside the UK. It brings together researchers from the University of Cambridge, Nanyang Technological University and National University of Singapore to work on problems relevant to Singapore and the world at large. Cambridge CARES is funded by the Singapore government through its Campus for Research Excellence and Technological Enterprise (CREATE).