Medical University of South Carolina

Clinical Trial Data Manager

Medical University of South Carolina provided pay range

This range is provided by Medical University of South Carolina. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$45,000.00/yr - $84,000.00/yr

The Data Coordination Unit is looking for a clinical trials Data Manager. The Data Coordination Unit (DCU), housed within the Department of Public Health Sciences (DPHS) at the Medical University of South Carolina, specializes in providing assistance with the design of clinical trials and analysis of their data and in establishing, implementing and maintaining data and project management systems for multicenter clinical trials.


Data Coordination Unit at Medical University of South Carolina (musc.edu)


Job Responsibilities:

1.1 Serve as the Data Management Director for assigned DCU studies. Direct, implement, oversee, and manage all project specific data management activities for assigned projects. Provide comprehensive guidance and direction to collaborators pertaining to data management issues. (25%)


1.2 Assess data management procedures with a focus on risk in accordance with the FDA policies and guidance on centralized monitoring and electronic health systems, and implement changes to ensure high quality data. (25%)


1.3 Conduct post-installation studies and evaluations. Ensure system meets the requirements of the end users. Review software data. Design and write SQL code for data cleaning procedures. (20%)


1.4 Coordinate the planning and development of database systems. Maintain good relations with the sponsor officials, vendors and users. Consult with sponsors on software packages and hardware. This includes providing information regarding the capabilities of the software and customizing the software to meet the needs of the sponsor. Provide comprehensive guidance and direction to users regarding clinical database systems and data management processes including user hardware and software training. (10%)


1.5 Perform and document on-going end-user database system validation. This includes validating the data entry screens and other system modules (such as regulatory document, drug tracking, randomization, and monitoring) to ensure accuracy and appropriateness of data fields, data types, codelists, and validation rules. Troubleshoot web pages, check grammar and spelling, and verify links during database validation. (10%)


1.6 Evaluate system for accuracy, efficiency, and intuitiveness. Survey users, including principal investigators, enrolling sites, central pharmacists, adjudicators, and safety monitors, regarding software satisfaction. Relay information to IS team for consideration and implementation. (5%)


1.7 Coordinate and lead internal study meetings. Prioritizes the work being conducted in a constantly changing environment. Provide information regarding resource allocation and needs within the unit. (5%)


Minimum Experience and Training Requirements:

A bachelor's degree and two years relevant program experience.


Preferred Experience & Additional Skills:

A bachelor’s degree and at least two years relevant research experience. A master’s degree in public health or related field is preferred. Knowledge of SQL and experience with data management are preferred.


To apply for this position please reference the link below.

https://musc.wd1.myworkdayjobs.com/MUSC/job/Charleston/UNIV---Program-Coordinator-II--Data-Management-Director---Department-of-Public-Health-Sciences_R-0000031851

  • Seniority level

    Entry level
  • Employment type

    Full-time
  • Job function

    Information Technology
  • Industries

    Hospitals and Health Care

Referrals increase your chances of interviewing at Medical University of South Carolina by 2x

See who you know

Get notified about new Data Manager jobs in Charleston, SC.

Sign in to create job alert

Similar jobs

People also viewed

Similar Searches

Explore collaborative articles

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

Explore More