Low to No Risk

11

Moderate Risk

3

High Risk

5

Extreme Risk

1

• 0.8Read technical literature and participate in continuing education or professional associations to maintain awareness of current database technology and best practices.
• 0.8Evaluate processes and technologies, and suggest revisions to increase productivity and efficiency.
• 1.5Develop technical specifications for data management programming and communicate needs to information technology staff.
• 1.5Develop or select specific software programs for various research scenarios.
• 2.4Contribute to the compilation, organization, and production of protocols, clinical study reports, regulatory submissions, or other controlled documentation.
• 1.8Train staff on technical procedures or software program usage.
• 0.7Supervise the work of data management project staff.
• 2.3Perform quality control audits to ensure accuracy, completeness, or proper usage of clinical systems and data.
• 2.2Design and validate clinical databases, including designing or testing logic checks.
• 1.8Confer with end users to define or implement clinical system requirements such as data release formats, delivery schedules, and testing protocols.
• 1.2Develop project-specific data management plans that address areas such as coding, reporting, or transfer of data, database locks, and work flow processes.

35.0% of Data Scientists tasks can be automated with AI or robotics