Data Manager for protecting.health/hong kong Study in the Institute for Precision Prevention (IPP) (Ref.: 536449)
Position Overview
We are seeking a highly qualified and experienced Data Manager to support advancing the protecting.health Global Initiative in Hong Kong, led by Nobel Prize Laureate Prof. Dr. Ferenc Krausz. This position is integral to establishing Hong Kong as a leading hub for personalized preventive medicine research and precision health innovation under the Institute for Precision Prevention (IPP).
The successful candidate will be appointed as Data Manager at the IPP, to commence as soon as possible, on a three-year fixed-term basis, with the possibility of renewal, subject to funding availability and satisfactory performance.
protecting.health aims to revolutionize healthcare by pioneering personalized preventive medicine for prevalent non-communicable diseases (NCDs) including cardiovascular disease, diabetes, and cancer, claiming 17 million premature deaths every year. The protecting.health/hong kong study is a large-scale, longitudinal health monitoring study that is part of a series of identically designed studies implemented in multiple countries to jointly develop the world's first health screening test for early, pre-symptomatic detection of prevalent NCDs through advanced blood molecular phenotyping and artificial intelligence.
This position offers a unique opportunity to play a central role in managing the data infrastructure and quality of a landmark initiative with global impact. The Data Manager will work in close collaboration with the local study Principle Investigator and his team as well as the global protecting.health team, located in Germany and Hungary.
Key Responsibilities
Clinical Data Management and Execution
- Plan, execute, and manage data management activities for the protecting.health/hong kong study from start-up through database lock
- Manage all core data management functions, including data acquisition, transfer, storage, and documentation, while ensuring data integrity and accessibility
- Conduct interim data reviews and perform data cleaning to support accurate and reliable study data
- Process and prepare data to ensure high-quality standards for research use through rigorous quality control procedures
- Ensure compliance with data security protocols, privacy regulations, and institutional data management requirements
Study Design, System Setup, and Quality Control
- Oversee the development and review of Data Management Plans (DMPs), Case Report Forms (CRFs), edit checks, and data handling guidelines
- Oversee the design and implementation of robust database systems to support large-scale longitudinal data collection
- Oversee implementation of validation rules, quality control checks, and automated processes to ensure data completeness and accuracy
- Conduct User Acceptance Testing (UAT) for data capture and management systems
- Train study team members on data management tools and procedures
- Identify risks and develop mitigation strategies related to data collection and data integrity
Project Coordination and Cross-Functional Collaboration
- Collaborate with the central protecting.health team to ensure alignment with global data standards, protocols, and operational requirements
- Work closely with multidisciplinary teams, including, clinicians, epidemiologists, and data scientists to support study data needs
- Manage timelines and risks to ensure timely delivery of data management milestones
- Prepare regular status reports, data exports, and data summaries
- Coordinate with the study implementation team to monitor data collection progress and resolve data-related issues promptly
- Translate complex technical data management concepts into clear, non-technical language for diverse stakeholders
- Support the preparation of grant applications, progress reports, and scientific communications involving data-related content
Qualifications & Qualities
Required Qualifications
- At least Bachelor’s degree, preferably in a health/clinical research-related discipline
- At least 3 years of experience in clinical data management in clinical research, epidemiological studies, pharmaceutical or biotech settings, or large-scale population health initiatives
- Strong understanding of CDM processes across all phases
- Familiarity with ICH-GCP and other regulatory requirements
- Proficient with EDC systems, experience with UAT, CFR design, edit checks
- Excellent written and spoken English and Chinese (Cantonese)
Essential Skills & Competencies
- Proven ability to manage large and complex datasets with attention to detail and data quality
- Strong analytical skills with ability to identify and resolve data inconsistencies and quality issues
- Excellent organizational skills with proven ability to manage deadlines
- Outstanding communication and interpersonal skills, with ability to work collaboratively in a multi-cultural, multi-disciplinary environment
- Ability to work both independently and as part of a team
- Mature, analytical, and detail-oriented approach to problem-solving
What We Offer
A highly competitive salary commensurate with qualifications and experience will be offered, together with contract-end gratuity and University contribution to a retirement benefits scheme at 10% of basic salary. Other benefits include annual leave and medical benefits.
Application Process
The University only accepts online applications for the above post. Applicants should apply online and upload:
- 1 page cover letter outlining relevant experience and motivation
- An up-to-date CV
- Reference letter
Review of applications will start as soon as possible and continue until July 31, 2026, or until the post is filled, whichever is earlier.
Those who have responded to the previous advertisement (Ref.: 534819) need not to reapply.
The University is an equal opportunities employer and
is committed to equality, ethics, inclusivity, diversity and transparency
