Assist in planning and executing data management tasks, ensuring operational efficiency and data accuracy.
Coordinate with clients on study requirements, including study and eCRF design, data review, and data cleaning activities.
Lead data cleaning tasks and delegate appropriately to maintain quality standards and meet deliverable timelines.
Monitor quality of site-submitted data, ensuring timely, accurate, and compliant database entries.
Ensure all data management practices comply with current GCP guidelines and applicable regulatory standards.
Maintain and actively manage study timelines, identifying risks and addressing milestones proactively.
Provide training, guidance, and support to team members and clinical data coordinators on processes, EDC systems, and best practices.
Contribute to the development, testing, and enhancement of data management systems, SOPs, technical tools, and process improvements.
Collaborate with business development to select and manage vendor relationships (e.g., EDC, image upload, IWR/IVR vendors).
Requirements
Bachelor’s Degree
Strong knowledge of GCP and ICH guidelines
Extensive data review and cleaning experience highly desirable
Computer literacy and proficiency in Microsoft Office, and experience in data capture systems
2-4 years of clinical research experience, with a minimum of 1 year of data management experience with a pharmaceutical or medical device company, hospital or CRO
Experience with statistics, programming, and field monitoring
Work may require occasional weekend and/or evening work
Benefits
Medical, dental, and vision insurance, FSA, HSA
Voluntary short-term and long-term disability insurance
Voluntary life insurance
401K safe harbor plan and company match
Paid vacation, holiday, and sick time
Paid maternity & paternity leave
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data managementdata cleaningdata reviewstatisticsprogrammingclinical researchEDC systemsdata capture systemsGCP guidelinesICH guidelines