Clinical Data Associate

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Start date:
Real Staffing
Published at:
flag_no USA
Project ID:

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- Creates clinical data management plans with workflow diagrams for clinical data capture, query, and query resolution.

- Improves turnaround time for study analysis and safety reporting; increases efficiency by reducing the number of data queries.

- Establishes robust procedures and practices to facilitate effective operations and decision making, including best practices for data entry and reporting from clinical databases.

- Acts as consultant to project teams and clinical managers in the area of Data Management processes and process improvement

- Evaluates and supports electronic data capture processes that will enhance data collection and integrity.

- Sets up and performs user acceptance testing of electronic clinical databases.

- Trains and supervises data entry personnel.

- Investigates alternatives to traditional data capture on paper case report forms.

- Assists as needed with other data management activities in conjunction with personnel in the Biostatistics and Data Management group.

- Other similar duties as assigned.


- A minimum of 5 years of experience in data management.

- Experience with electronic data capture is preferred.

- A background in molecular biology/biochemistry with laboratory experience preferred.

- Previous experience in quality control processes is recommended.

Knowledge, Skills, and Abilities:

- Knowledge of electronic data capture interfaces such as InForm, Oracle Clinical, Medrio, and/or Medidata.

- Ability to work with relevant computer software packages, including spreadsheets and word-processing packages (e.g., Microsoft Excel, Microsoft Word).

- Excellent communication and interpersonal skills.

- Attention to detail.

- Ability to work under time pressure while maintaining high standards of precision and data quality.


- Bachelor of Science in Statistics, Computer Science or related field, or equivalent combination of education and work-related experience in clinical research and data management.

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