Senior Data Manager

The Institut Pasteur du Cambodge (IPC) is a Cambodian non-profit research institution established in 1953. IPC is a scientific research institution recognized as being of public utility, placed under the high patronage of the Ministry of Health of the Kingdom of Cambodia and under the scientific and technical responsibility of Institut Pasteur. IPC is a member of the Pasteur Network, which brings together more than 30 institutes across 5 continents. It shares the Pasteurian values and ethical charter to which the Pasteur Institutes are bound. IPC has more than 300 employees, including around 30 expatriates of 10 nationalities, and includes 6 research units. It carries out research activities in health biology and public health, as well as service activities, including medical biology, vaccinations, and water and food analyses, and provides training.

The Epidemiology and Public Health Unit of the Institut Pasteur du Cambodge (IPC) conducts operational epidemiological research on major public health challenges in Cambodia. Its work focuses on improving the understanding of transmission dynamics of infectious and emerging diseases, and on strengthening prevention, diagnosis, and treatment strategies for priority diseases in vulnerable populations. The Unit currently comprises around fifty staff members organized into three research groups: the Community Epidemiology Group, the Methodology and Data Analysis Group, and the Clinical Research Group. It leads and contributes to multi-partner international research initiatives funded by major global actors such as the Wellcome Trust, NIH, French and international development agencies, the Pasteur Network ANRS-MIE Agency and other key donors.

We are seeking a highly skilled and experienced <b>Senior Data Manager</b> to support the management and coordination of complex data workflows in large-scale and intersectoral epidemiological research projects. The successful candidate will be integrated within the Methodology and Data Analysis Group, which plays a central role in the design, implementation, and quality assurance of data management and statistical analysis across all projects. The position will have a strong focus on data quality monitoring, automation of data workflows, development of operational dashboards, and integration of data originating from multiple sources, including epidemiological, clinical, laboratory, environmental, entomological and spatial datasets.

<b>Position Overview:</b>
<b>The Senior Data Manager</b> will work under the direct supervision of the Head of the Data and Methodology Analysis Group, and in close collaboration with project investigators, field coordinators and technicians and data analysts. This position involves supervising data field assistants, junior data manager, working with digital data collection platforms (REDCap, KoboToolbox, ODK, etc.), and contributing to reports, statistical exports, and scientific outputs.

The Senior Data Manager will also be responsible for designing and maintaining real-time or near-real-time data monitoring systems and dashboards using tools such as Power BI or equivalent business intelligence platforms, allowing research teams to monitor recruitment, field activities, completeness, data quality, laboratory workflows, and key study indicators.

<b>Main responsibilities:</b>
<b> ⮚ Data Management and Monitoring</b>
- Lead and supervise data management activities for multiple large-scale and One Health surveys and longitudinal epidemiological studies.
- Develop and manage data collection platforms using REDCap, KoboToolbox, ODK, or equivalent systems.
- Design electronic Case Report Forms (CRFs) and supervise the creation of data entry masks.
- Coordinate and monitor field data collection with support from field assistants and field coordinators.
- Implement quality control procedures and conduct regular data cleaning and validation checks.
- Maintain version control, documentation of datasets and metadata in accordance with good data management practices
- Define and monitor Data Quality Indicators (DQIs), including completeness, timeliness, duplication, logical inconsistencies, missing data, outliers, protocol deviations, and field-team performance indicators.
- Develop automated or semi-automated monitoring dashboards using Power BI, or equivalent visualization platforms, to provide real-time oversight of recruitment, sample collection, laboratory processing, follow- up, field activities, and data quality.
- Design dashboards adapted to different users, including investigators, project managers, field coordinators, laboratory teams, and senior management.
- Develop and maintain Data Management Plans (DMPs), data dictionaries, coding conventions, database specifications, data validation plans, and standard operating procedures (SOPs).

<b>⮚ Team Supervision and Coordination</b>
- Supervise and support interviewers and field data assistants in survey implementation, mobile data capture, and troubleshooting.
- Provide training and technical support to field staff on data collection tools and protocols.
- Liaise regularly with field coordinators and data analysts to ensure proper alignment of data and field procedures.
- Coordinate data management activities across several projects simultaneously and establish clear priorities, timelines, and quality-control procedures.
- Provide technical mentoring to junior data management staff and contribute to strengthening data management capacity within the Unit.
- Participate in project meetings and proactively identify data quality issues, operational bottlenecks, and corrective actions.

<b>⮚ Analysis and Reporting Support</b>
- Prepare clean and well-documented datasets for statistical analysis in coordination with biostatisticians and researchers.
- Support preliminary statistical analyses using statistical software such as Stata, R, or equivalent.
- Contribute to the preparation of technical reports, monitoring dashboards, and study deliverables.
- Develop clear and interactive data visualizations using Power BI, R, or other visualization tools to facilitate interpretation and decision-making.
- Produce routine monitoring reports and automated summaries for investigators and project managers.
- Participate in data-related sections of research protocols, manuscripts, and project documentation.
- Use GIS tools for mapping and spatial data analysis would be considered an advantage for supporting location-based epidemiological insights

<b>⮚ Data Security and Compliance:</b>
- Ensure proper storage, pseudonymization, and secure transfer of sensitive data.
- Apply IPC’s data protection protocols and ensure compliance with Cambodian and international ethical and legal standards.
- Implement role-based access controls and ensure that data access is granted according to project responsibilities and ethical approvals.
- Ensure appropriate separation and secure management of directly identifying information and research dataset

The complete application includes a cover letter – with salary expectations, copies of diplomas, work certificates, curriculum vitae with a recent photo, Identity Card photocopy - all certified documents to the originals – are to be sent to the Human Resources department of Institut Pasteur du Cambodge #5, Monivong Blvd, Phnom Penh or by email to: recrutement@pasteur-kh.org, phone number: 092 777 665.
<b>Deadline: October 15, 2026</b>
语言要求：English (Good); French (Good)