Associate Clinical Data Manager
New
J
JobgetherClinical Research
Based in the United StatesFull-TimeMiddle
Salary$70,000 - $80,000
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Job Details
- Languages
- Fluent English
- Experience
- 6–8 years
- Required Skills
- Project ManagementGCP
Requirements
- University or college degree, or equivalent relevant professional experience.
- 6–8 years of clinical data management experience.
- Minimum of 1 year of direct sponsor management experience.
- Experience managing clinical trial data processes, biometrics operations, and supporting clinical systems.
- Strong understanding of clinical trial processes, data management methodologies, and medical terminology.
- Experience handling customer concerns, managing scope of work, and supporting budget discussions.
- Ability to manage priorities, meet deadlines, and work effectively within project productivity expectations.
- Strong organizational, communication, and interpersonal skills.
- Ability to collaborate effectively within global and cross-functional teams.
- Fluent English communication skills, both written and verbal.
- Experience with Electronic Data Capture (EDC) systems.
- Background in life sciences, health sciences, information technology, or related fields.
Responsibilities
- Lead clinical data management activities for assigned studies, including multi-site trials and projects with accelerated timelines.
- Own data management deliverables throughout the full study lifecycle, from study initiation through database lock.
- Provide direction, oversight, and quality review of data management team outputs to ensure accuracy and compliance.
- Ensure all activities follow clinical protocols, global procedures, Good Clinical Practice (GCP) standards, and applicable regulatory requirements.
- Collaborate with project managers and cross-functional teams to develop timelines and achieve contracted milestones.
- Lead internal data-focused project meetings and coordinate activities across EDC design, programming, statistics, pharmacokinetics, and other biometrics functions.
- Identify project risks, develop mitigation strategies, and communicate data-driven recommendations to stakeholders.
- Monitor scope changes, budget considerations, and timeline impacts in partnership with project leadership.
- Perform data reconciliation activities across clinical, safety, laboratory, and third-party data sources.
- Support audits, inspections, and issue resolution activities while ensuring timely corrective actions.
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