Trial Data Manager; m/f/d
Job in
Zürich, 8058, Zurich, Kanton Zürich, Switzerland
Listed on 2026-06-01
Listing for:
Skilled Recruitment Solutions GmbH
Full Time
position Listed on 2026-06-01
Job specializations:
-
IT/Tech
Data Analyst, Data Science Manager, Data Scientist, Data Security
Job Description & How to Apply Below
Location: Zürich
Aufgaben
- Regulatory & Internal Compliance:
Guarantees that all clinical data management and biometry tasks for the designated study comply with internal innovation standards and applicable regulatory requirements - Milestone Delivery:
Achieves all study timelines and milestones regarding data management outputs and deliverables - Data Consistency:
Maintains uniform data handling, processing, and validation methods across all allocated clinical trials - Project Leadership:
Directs, leads, and oversees end-to-end data management workflows for the specified study - Protocol Input:
Contributes critical data management expertise and insights during the drafting and design phase of the study protocol - eCRF Setup:
Coordinates and manages the creation, design, and setup of the electronic Case Report Form (eCRF) according to company standards - Technical Documentation:
Authors comprehensive data management documentation, including specifications for external data transfers, data cleaning, and validation tools to guide DM Programmers during development - Trial Archiving:
Compiles, organizes, and properly archives all required trial data management files and documentation - UAT & Deployment:
Coordinates and tracks the User Acceptance Testing (UAT) of data entry screens, cleaning tools, and their final deployment into the live production environment - Database Lock Management:
Supervises data cleaning, data review, query resolution, and the final database lock procedure, ensuring close collaboration with Clinical Development stakeholders - Reporting & Analytics:
Produces regular study metrics, analytics, and progress reports for management review - CTT Representation:
Serves as the primary Data Management representative and subject matter expert during Clinical Trial Team (CTT) sessions - Stakeholder Presentations:
Prepares and delivers presentations on data-related topics at CTT, investigator, and monitor meetings - Vendor & CRO Management:
Takes full accountability for outsourced studies, effectively managing relationships, timelines, and deliverables with external partners - SOP Development:
Assists in authoring, updating, and reviewing standard operating procedures (SOPs), policies, and related data management guidance documents - Cross-Functional Working Groups:
Acts as the DM liaison in cross-functional task forces focused on system, tool, and process optimizations - Resource Forecasting:
Anticipates, projects, and forecasts staffing and resource needs for the assigned study team - Team Training:
Verifies that all data managers working on the trial have completed the necessary training and onboarding - Annotated CRF:
Coordinates the timely generation, validation, and delivery of the annotated CRF (aCRF) - Quality Control (QC):
Executes and coordinates routine Quality Control checks to ensure data handling aligns precisely with the protocol, Quality System guidelines, and GCP - Operational Flexibility:
On-site presence at the innovation hub is expected. Steps in to perform standard Data Manager tasks if no junior DM is allocated to the study
- Educational Background:
Master’s degree (M.Sc.) in Life Sciences, Statistics, Mathematics, Informatics, or a closely related scientific discipline - Industry
Experience:
Minimum of 5 years of professional experience within the pharmaceutical or biotech sector, specifically in Clinical Research or Clinical Data Management, showcasing a strong level of functional expertise - Communication
Skills:
Exceptional organizational capabilities alongside excellent English communication skills (both written and spoken) - Regulatory Knowledge:
Thorough understanding of global clinical trial regulations and requirements, particularly ICH-GCP guidelines - Technical Proficiency:
Solid background in clinical databases, data architecture/flow, data validation procedures, and electronic CRF design - Team Coordination:
Proven capability to mentor, guide, and coordinate the activities of other Data Managers working on the same study - Presentation Power:
Strong proficiency in task management and professional presentation delivery to diverse stakeholders
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