Data Manager for protecting.health/hong kong Study

The University of Hong Kong • Full Time • Pok Fu Lam, Hong Kong, HK • 19h ago

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 at the University’s careers site (https://jobs.hku.hk) 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

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