Data manager/statistician
Must-have:PythonSenior
Machine translation — original language: Dutch.Show original
- Development of databases and data specifications, including design, user requirements and access rights, building in checks and validating data;
- Development and maintenance of all documentation regarding data management (SOP, work instructions, study-specific documents for data management);
- Performing quality assurance and quality control of data recorded in the clinical database, in accordance with company quality standards, and coordinating timely database corrections with clinical sites;
- Maintenance of databases throughout their entire lifecycle to ensure data integrity, and drafting and reviewing documentation regarding changes in the database;
- Review of clinical data;
- Monitoring and tracking data entry and resolving queries according to agreed timelines;
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- Assisting in monitoring study metrics and site performance;
- Assisting in standardizing procedures around metadata management;
- Coordinating the archiving of research databases and associated documents (including backup, optimization and integrity checks);
- Assisting with the procurement of software, hardware and upgrades for data storage;
- Willingness to make regular field visits to the DR Congo (and possibly other African countries) to oversee data management or related activities and to install necessary software;
- Providing training on data management to research teams (in Belgium and at international institutions);
- Taking responsibility for leading, guiding and controlling the data management activities of the clinical research organization (CRO);
- Handling potential protocol violations/deviations within clinical studies;
- Calculating the required sample size;
- Analyzing collected data in R or SAS;
- At least a master's degree in epidemiology, statistics or a related field;
- Good insight into clinical studies and knowledge of or training in ICH Good Clinical Practices;
- Excellent command of MS Office;
- Experience with Electronic Data Capture systems (e.g., RedCap, Medrio, etc.);
- Computer experience with database, spreadsheet and analysis software (e.g., R, SAS, Python);
- Knowledge of basic medical terminology is required, as well as knowledge of scientific and clinical research methods;
- Knowledge of and experience with industry standards in data management, such as CDISC, SDTM and ADaM, is a plus;
- The ability to work with large datasets with attention to detail;
- The ability to apply knowledge and skills effectively in a highly organized manner, in compliance with legal guidelines and standard operating procedures;
- Excellent organizational skills and good analytical and problem-solving skills;
- Great interest in scientific work, a flexible attitude and a strong sense of initiative and responsibility;
- Good communication skills;
- Excellent knowledge of English, good knowledge of French; knowledge of Dutch is a plus;
- The ability to work in a team and, if necessary, independently;
- The ability to train the research team, both in Belgium and in Africa;
- The ability to work productively with minimal supervision and meet deadlines;
- Willingness to travel to (remote) locations in Africa;
- Experience working in developing countries (preferably in Africa) is a major asset;
- Experience as a (clinical) data manager and with data analysis is a plus.
Reporting
You report to and are under the supervision of the Senior Data Manager and Project Manager of PregInPoxVac or Tumaini, who have a direct functional link to the principal investigators of this clinical study.
Contact person
Listed by the employer in the job posting — for questions and your application.
- Verantwoordelijke Human Resources