Associate Clinical Data Manager
Listed on 2026-08-29
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Healthcare
Clinical Research
Location: Maple Grove, MN 55311
Work Arrangement: 100% Onsite
Schedule: Monday–Friday, 8:00 AM–4:00 PM
Contract Duration: 6 months, with a strong likelihood of extension
Start Date: ASAP, following completion of onboarding
Location: Maple Grove, MN 55311
Work Arrangement: 100% Onsite
Schedule: Monday–Friday, 8:00 AM–4:00 PM
Contract Duration: 6 months, with a strong likelihood of extension
Start Date: ASAP, following completion of onboarding
Viltis is seeking an experienced Associate Clinical Data Manager to support clinical study data management activities for a leading life sciences organization in Maple Grove, Minnesota.
This position will play a key role in ensuring the quality, integrity, and regulatory compliance of clinical study data throughout the study lifecycle. The ideal candidate will bring strong clinical data management experience, excellent analytical and critical-thinking skills, and the confidence to lead cross-functional discussions involving complex, regulated clinical studies.
The Associate Clinical Data Manager will collaborate closely with Clinical Operations, Project Management, Clinical Science, Biometrics, Safety, Site Management, and other stakeholders to identify data risks, manage study databases and data-cleaning activities, and drive studies toward critical data freeze and database lock milestones.
Key Responsibilities- Lead cross-functional teams during protocol development to identify and document data critical to the reliability of study results and protection of human subjects.
- Assist with the ongoing evaluation of clinical study risks through detailed review of protocols, study plans, and supporting documentation.
- Collaborate with cross-functional teams to validate risk findings and develop appropriate process- and system-based controls.
- Manage the development and revision of critical clinical data management processes, including:
- Case Report Form (CRF) design
- Edit checks
- Data listings
- Clinical database setup
- Data-cleaning strategies
- Identify and evaluate residual risks to critical clinical study data and coordinate additional risk-mitigation strategies.
- Develop focused data-cleaning and quality-management activities based on identified study risks.
- Support development of targeted site instructions and study-specific central and site monitoring strategies.
- Lead the Clinical Project Team through the development and review of Case Report Forms.
- Partner with the Study Database Manager throughout database development, validation, and release.
- Identify, program, review, and test edit checks used to identify potential clinical data discrepancies.
- Conduct ongoing review and analysis of accumulated subject data.
- Identify discrepant, incomplete, aberrant, or inconsistent clinical data and issue appropriate queries to study sites.
- Identify systemic or significant data-quality issues requiring escalation and drive issues through resolution.
- Partner with Project Management, Site Management, Clinical Science, Biometrics, Safety, and organizational leadership to resolve complex data issues.
- Manage study progress toward data-cleaning, data-freeze, and database-lock targets for regulatory submissions and other business requirements.
- Work closely with Clinical Data Coordinators to manage the issuance and resolution of study-wide data discrepancies throughout the study lifecycle.
- Perform root cause analysis of recurring discrepancy trends requiring clinical or complex logical judgment.
- Develop system-level corrective measures and contribute to ongoing process improvement.
- Contribute to the development and maintenance of clinical data review standards, procedures, and best practices.
- Lead proactive communication with field personnel and clinical study teams regarding findings identified through central monitoring and data-review activities.
- Develop, document, and manage appropriate resolution and escalation strategies.
- Monitor the overall health of clinical study data quality and study conduct throughout key milestones and deliverables.
- Bachelor’s degree in Biology, Health Sciences, Mathematics, Computer Science, Life Sciences
, or a related…
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