Minimum Requirements

• At least 3 years of data management experience, preferably in a senior role or relevant experience in a comparable position
• Relevant Bachelor’s degree or 3-year diploma (IT/Computer programming or another relevant field)
• Database programming in SQL on any relational database system (e.g. MSSQL, MySQL, Oracle, FoxPro and/or Access)
• Computer programming languages such as C-Programming, Python, JAVA, PHP, etc.
• Interactive data visualization skills (e.g. Microsoft Power BI, Google Sheets, Google Data Studio)
• Demonstrated experience in leading a team 
• In-depth understanding of data management practices and tools
• Experience in the clinical trial environment and clinical data management practices and tools is preferred 
• DFdiscover/DataFax or another clinical data management system (e.g. Oracle Clinical, Medidata, Epidata, REDCap) is preferred
• Experience in the clinical trial environment and clinical data management practices and tools is preferred 

Personal Qualities and Competencies

• Attention to detail with strong analytical ability
• Ability to organize and manage multiple priorities 
• Ability to work independently and fit in well in a multi-disciplinary team
• Able to design efficient systems
• Communication and collaboration
• Excellent people management skills with a positive leadership approach 

Key Responsibilities

• Administrate Data Management Systems
• Maintain day-to-day oversight of the data department to ensure that CAPRISA and study requirements are met 
• Provide training to the data management team 
• Provide line manager responsibilities to Data management staff 
• Assist with study setup
• Assist sites with development and implementation of efficient data management processes 
• Develop and maintain study databases to ensure clinical data accuracy
• Participate in the design and protocol development of the new study/project.
• Prepare study data reports
• Provide regular verbal and written reports to management, collaborators and other stakeholders
• Keep up to date with the latest data management trends, technologies & practices.