The Center for Molecular Fingerprinting, led by the 2023 Nobel Laureate in Physics Prof. Dr. Ferenc Krausz, is an interdisciplinary, nonprofit research institution. We are an international team of laser scientists, molecular biologists, medical doctors, engineers, and data analysts who came together driven by a common goal: moving the frontiers of health monitoring and probing human health. Our mission is driven by the vision of a reliable, cost-effective approach to safeguard the health of whole populations and develop new ways for the earliest possible detection of diseases such as cancer, cardiovascular disease, and diabetes.
As part of our groundbreaking H4H (Health for Hungary - Hungary for Health) Program, we are collecting biofluid samples and clinical data from thousands of volunteers over 10 years to validate a new approach called Infrared Molecular Fingerprinting.
The Data Management Team specializes in the collection, storage, organization and maintenance of all collected study-related data to ensure its accuracy, security and accessibility across different CMF divisions. It is a multinational team based in two locations—Budapest, Hungary and Munich, Germany—working on multiple clinical studies.
We are currently seeking a Senior Clinical Data Manager whose primary responsibility will be to ensure the accurate, complete, and secure collection and management of CMF’s ongoing H4H and L4L study data in compliance with regulatory requirements. The dedicated person will oversee the design, implementation, and quality control of clinical data and processes to support the reliable analysis and reporting of study results.
Key Responsibilities:
Clinical Data Management Oversight and Execution
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Plan, execute, and manage data management activities for assigned studies from start-up through database lock
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Supervise data flow throughout the study lifecycle
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Conduct interim data reviews and perform data cleaning
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Apply medical coding standards (e.g., MedDRA)
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Thorough documentation on all data management processes
Study Design, System Setup, and Quality Control
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Develop and review Data Management Plans (DMP), Case Report Forms (CRFs), Edit Checks, and data handling guidelines
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Conduct User Acceptance Testing (UAT)
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Train study team members and site staff on data management tools and procedures
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Contribute to protocol development, focusing on data-related elements and standardization across studies
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Identify risks and develop mitigation strategies related to data collection and data integrity
Cross-Functional Collaboration, Compliance, and Process Improvement
- Collaborate with Clinical Research, Biorepository, Molecular Phenotyping, and Data Science teams to support data-driven decisions
- Ensure adherence to regulatory requirements (ICH-GCP) and internal SOPs
- Contribute to continuous process improvement initiatives
- Mentor and support junior data management staff
Required Attributes:
- At least a Master’s degree, preferably in a health/clinical research-related degree.
- 5+ years of experience in clinical research, pharmaceutical/biotech or regulatory industry
- Excellent level of English
Technical Skills & Experience
- Strong understanding of CDM processes across all phases
- Familiarity with ICH-GCP and other regulatory requirements
- Proficient with EDC systems (e.g. Medidata Rave, REDCap), experience with UAT, CFR design and Edit Checks
- Knowledge of coding dictionaries
- Experience with data validation and discrepancy management
- Skilled in writing/reviewing Data Management Plans, CRF Completion Guidelines, SOPs
- Understanding of statistical concepts and how data is used for analysis and reporting
Soft Skills & Personal Attributes
- Excellent attention to data accuracy, completeness, and compliance
- Able to anticipate, identify, and resolve data-related issues proactively
- Clear, professional communication with cross-functional teams, vendors, and investigators
- Team player with the ability to manage multiple priorities simultaneously in a dynamic working environment
Strong Advantages:
- Experience with REDCap, MBioLIMS, or similar electronic data capture systems.
- EU citizenship or hold a residence permit to work in Hungary
- Proficiency in the Hungarian language.
We offer:
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A versatile range of work packages, including:
- Higher-than-usual cafeteria allowance,
- Private health insurance,
- 30 guaranteed annual vacation days,
- Professional training opportunities. -
Home office option, 1 or 2 days per week.
- Team activities and team-building events.
- A dynamic work environment with the opportunity to engage in a rapidly evolving and innovative field.
- Long-term opportunities alongside highly qualified and motivated professionals.
- An international work environment with professional development opportunities.
- A solution-oriented atmosphere with the chance to contribute to the success of a dynamic and growing organization.