
Supervisor - Data Support Operations
23 hours ago
- Oversee data modification requests initiated via the Ticketing System.
- Oversee E-portal requests initiated via the Ticketing System.
- Investigate and resolve data discrepancies in conjunction with project collaborators.
- Review and validate supporting documentation and mapping files for data changes.
- Conduct impact assessments to ensure accurate and complete data updates.
- Coordinate with requestors to confirm additional sample updates when necessary.
- Create and manage modification batches in BSI, ensuring traceability and audit readiness.
- Ensure data updates are accurately reflected in inventory systems and communicate resolution status to stakeholders.
- Prepare draft correspondence to record actions taken to correct data errors.
- Prepare and analyze reports from the BSI to identify possible errors in data.
- Train, as necessary, all data entry personnel in proper operation of all protocols.
- Manage data entry processes and develop guidelines, training programs, and quality assurance measures.
- Collaborate with Biorepository teams to align priorities and streamline workflows.
- Drive process improvement initiatives focused on automation and simplification.
- Ensure compliance with Good Clinical Practices (GCP) and relevant regulatory standards.
- Lead cross-functional and organization-wide initiatives.
- Provide training, support, and mentorship to team members.
- Foster a collaborative and goal-oriented team culture.
- Assign tasks, set expectations, and deliver constructive feedback.
- Maintain effective communication with internal stakeholders and project teams.
- Assess project timelines and resource needs, offering strategic input.
- Minimum 6 years of relevant experience.
- At least 3 years in a leadership or supervisory role.
- Proficiency in clinical research operations and data management.
- Strong understanding of drug, device, and biologic development processes.
- Experience with clinical database systems and data quality standards.
- Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint, Outlook).
- Excellent organizational, written, and verbal communication skills in English.
- Background in clinical, scientific, or healthcare disciplines.
- Familiarity with data privacy regulations (e.g., GDPR, HIPAA).
- Experience with Power BI, Power Query, and/or Power Automate.
- Knowledge of Laboratory Information Management Systems (LIMS) and Biospecimen Inventory Systems.
- Experience using Smartsheet for project tracking and collaboration.
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