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Clinical Trial Data Management Intern

Job in Camden, Camden County, New Jersey, 08100, USA
Listing for: Jobtailor
Full Time, Apprenticeship/Internship position
Listed on 2026-09-10
Job specializations:
  • IT/Tech
    Data Analyst, Data Warehousing, Data Engineering, Information & Knowledge Management
Salary/Wage Range or Industry Benchmark: 25000 - 39000 USD Yearly USD 25000.00 39000.00 YEAR
Job Description & How to Apply Below
  • Create and ensure successful execution of clinical data management strategies for assigned trials within drug/vaccine programs
  • Develop and manage project plans spanning protocol development through database lock, archiving, and submission deliverables where applicable
  • Collaborate with functional areas to align resources and execute project plans on time and with appropriate quality
  • Manage change, customer, and stakeholder expectations; facilitate cross-functional decision making and perform risk management
  • Represent functional areas and Global Data Management on cross-functional trial teams and trial-level development forums
  • Serve as a data management lead or support filing programs under guidance of senior staff
  • Participate in development of and ensure adherence to clinical data management procedures
  • Develop detailed project plans for collection, review, and cleaning of clinical data
  • Manage project planning, initiation, execution, change control, closing, team development, leadership, meetings, and resource coordination
  • Define trial-level quality data collection and validation requirements
  • Read and interpret clinical protocols from a clinical data management perspective
  • Provide clinical data management input into trial design
  • Assess trial complexity and define data management requirements, inputs, deliverables, and services
  • Ensure use of standards and consistency of database design, data collection, and validation
  • Approve trial-level data validation plans
  • Monitor data quality and completion of database lock and post-database lock activities
  • Ensure timely archival of trial data and documentation and decommissioning of clinical data management technologies
  • Oversee delivery of data management services from external partners
  • Support site and sponsor audits
  • Identify and support improvements to data collection and management processes and tools
  • Interact with staff across sites, countries, and time zones
Requirements
  • Candidate must be working towards completion of a B.A. or B.S. degree in life sciences, computer science or related discipline
  • Candidates must be available to work full-time for up to twelve (12) weeks beginning June 2027
  • Candidates must have interest in learning Clinical Data Management
  • Basic understanding of the clinical research process for Clinical Data Management lifecycle
  • Familiar and comfortable with database concepts and tools to manage, extract, and report data
  • Strong organization, leadership, and management skills
  • Exceptional oral and written communication skills with the ability to communicate with both technical and business areas
  • US and Puerto Rico residents only
  • Visa sponsorship is not available
  • Valid driving license is not required
Core Competencies

Demonstrates expertise in Clinical Data Management strategies, project planning, and execution, with a strong focus on data quality and compliance. Capable of collaborating across functional areas and managing stakeholder expectations effectively.

Highest-signal resume keywords
  • Clinical Data Management
  • Project Planning
  • Data Quality Monitoring
  • Cross-Functional Collaboration
  • Clinical Research Process
ATS Optimization Keywords Hard Skills
  • Database Concepts
  • Data Extraction
  • Data Reporting
  • Data Validation
  • Clinical Protocol Interpretation
Soft Skills
  • Strong Organization Skills
  • Leadership Skills
  • Exceptional Communication Skills
Industry Keywords
  • Clinical Trials
  • Data Management Procedures
  • Risk Management
  • Stakeholder Management
  • Data Collection Processes
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