Clinical Data Managers
Computer and MathematicalAI Impact Assessment
This job may see some changes due to AI, but human skills remain important.
Clinical Data Managers with an AI automation risk score of 62%. Analysis includes 21 core tasks.
Safer Career Paths
Clinical Research Coordinators
42% AI Risk
Higher ambiguity and stakeholder alignment.
Health Informatics Specialists
51% AI Risk
Higher ambiguity and stakeholder alignment.
Social Science Research Assistants
48% AI Risk
Higher ambiguity and stakeholder alignment.
Key Tasks
Develop or select specific software programs for various research scenarios.
Train staff on technical procedures or software program usage.
Develop technical specifications for data management programming and communicate needs to information technology staff.
Prepare appropriate formatting to data sets as requested.
Read technical literature and participate in continuing education or professional associations to maintain awareness of current database technology and best practices.
Analyze clinical data using appropriate statistical tools.
Supervise the work of data management project staff.
Design and validate clinical databases
Upskilling Courses
Data Sources
Analysis based on O*NET data
