Scientific > Clinical Data Management Specialist
Salary National Average
| Low | Medium | High |
|---|---|---|
| 48770.0000 | 64960.0000 | 83440.0000 |
Supply and Demand
Candidate Supply: 443 Job Openings: 192
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Short Description:
A Clinical Data Management Specialist is responsible for collecting, organizing, and managing clinical trial data to ensure its accuracy, integrity, and compliance with regulatory standards. Their duties include designing data collection systems, performing data validation checks, and ensuring proper documentation and reporting throughout the clinical study process. They work closely with clinical researchers and biostatisticians to ensure that trial data is complete, consistent, and ready for analysis. Strong attention to detail, knowledge of data management systems, and an understanding of clinical trial regulations are essential for success in this role, as Clinical Data Management Specialists play a crucial role in supporting medical research and drug development.
Duties / Responsibilities:
- Design and validate clinical databases, including designing or testing logic checks.
- Process clinical data, including receipt, entry, verification, or filing of information.
- Generate data queries, based on validation checks or errors and omissions identified during data entry, to resolve identified problems.
- Develop project-specific data management plans that address areas such as coding, reporting, or transfer of data, database locks, and workflow processes.
- Monitor work productivity or quality to ensure compliance with standard operating procedures.
- Prepare appropriate formatting to data sets as requested.
- Design forms for receiving, processing, or tracking data.
- Prepare data analysis listings and activity, performance, or progress reports.
- Confer with end users to define or implement clinical system requirements such as data release formats, delivery schedules, and testing protocols.
- Perform quality control audits to ensure accuracy, completeness, or proper usage of clinical systems and data.
Skills / Requirements / Qualifications
- Analytical: Use logic and reasoning to identify the strengths and weaknesses of alternative solutions, conclusions or approaches to problems.
- Listening: Giving full attention to what other people are saying, taking time to understand the points being made, asking questions as appropriate, and not interrupting at inappropriate times.
- Comprehension: Understanding written sentences and paragraphs in work related documents.
- Communication: Talking to others to convey information effectively. Communicating effectively in writing as appropriate for the needs of the audience.
- Problem-Solving: Understanding the implications of new information for both current and future problem-solving and decision-making. Identifying complex problems and reviewing related information to develop and evaluate options and implement solutions.
- Assessment: Monitoring/Assessing performance of yourself, other individuals, or organizations to make improvements or take corrective action. Adjusting actions in relation to others' actions.
- Mathematics: Using mathematics to solve problems.
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