Senior Data Manager, and Senior Biostatistician
- Data Management and Monitoring
- 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).
- Team Supervision and Coordination
- 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.
- Analysis and Reporting Support
- 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
- Data Security and Compliance:
- 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
联系方式
- 👤 联系人：Human Resources Department
- 📞 电话：092 777 665
- ✉️ 邮箱：recrutement@pasteur-kh.org
- 📍 地址：#05, Monivong Blvd, Sangkat Srah Chak, Khan Doun Penh, Phnom Penh, Cambodia
位置 / Google 地图
来源：网络 · 2026-09-10 08:31:36