Data Manager for kong Study in the Institute for Precision Prevention

Data Manager for kong Studyin the Institute for Precision Prevention (Ref.:534819)

Position Overview

We are seeking a highly qualified and experienced Data Manager to support advancing the 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.

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 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 worlds 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 team located in Germany and Hungary.

Key Responsibilities

Data Management & Quality Assurance

• Oversee all core data management functions for the kong study including data acquisition transfer and storage ensuring data integrity and accessibility
• Oversee data documentation including data dictionaries operational procedures and data capture guidelines
• Process and prepare data to ensure the highest quality standards for research use implementing rigorous quality control procedures
• Ensure full compliance with data security protocols privacy regulations and institutional data management requirements

Database Development & Technical Implementation

• Oversee robust database system implementation to support large-scale longitudinal data collection
• Oversee data validation rules quality control checks and automated processes to ensure data completeness and accuracy
• Collaborate with the central team to ensure alignment with global data standards protocols and operational requirements
• Work closely with multi-disciplinary teams including epidemiologists clinicians and data scientists to support data needs

Project Coordination & Reporting

• Oversee data management project timelines identifying risks and implementing solutions to ensure timely delivery
• Prepare regular status reports data exports and data summaries
• Coordinate with the study implementation team to monitor data collection progress and address 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 with data-related content

Qualifications& Qualities

RequiredQualifications

• Postgraduate degree (Masters or Ph.D.) in statistics computer science mathematics informatics epidemiology biomedical sciences or a related discipline
• At least 3 years of experience in data management programming and statistics ideally in clinical research epidemiological studies or large-scale population health initiatives
• Strong technical skills in data management systems and statistical software
• 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 April 25 2026 or until the post is filled whichever is earlier.

The University is an equal opportunities employer and

is committed to equality ethics inclusivity diversity and transparency