Data Manager

Role overview

This opportunity is shared on behalf of a partner employer that handles the application review and the next stages of the process. The partner company is hiring a Data Manager in Germany to support clinical trial data operations.

The position sits at the crossroads of clinical research, data management, and technology. You will help maintain the precision, consistency, and reliability of important clinical trial data that supports medical innovation and better patient care. The role involves working with clinical project teams and outside collaborators, managing the end-to-end lifecycle of clinical data systems, and improving database and data transfer processes in a regulated setting. It is a strong fit for a meticulous professional who enjoys structured work, complex datasets, and quality-focused environments.

Key responsibilities

• Manage data activities across clinical studies and safeguard the accuracy, completeness, and consistency of all study data.
• Work with clinical project managers to make sure data processes match study scope, requirements, and delivery timelines.
• Build, validate, and maintain study-specific clinical databases.
• Prepare and implement data transfer requirements with internal stakeholders and external clients.
• Develop, validate, and run data exports using tools such as SQL and R.
• Deliver data transfers and reporting outputs on time and to a high standard.
• Help improve workflows, operating standards, and documentation for data management.
• Operate in line with relevant clinical research standards and regulatory expectations.

Requirements

• A bachelor’s or master’s degree in a scientific discipline such as biomedical science, biology, pharmaceuticals, medicine, or bioinformatics, or equivalent experience in data management.
• Prior experience in data management, ideally in a pharmaceutical, biotech, or clinical research setting.
• Strong hands-on knowledge of SQL and structured databases.
• A sharp eye for detail and a strong commitment to data quality and accuracy.
• Good analytical thinking, problem-solving ability, and sound judgment.
• Ability to work independently while juggling several priorities in an organized environment.
• Well-developed communication, planning, and time-management skills.
• Comfort working with IT systems and data-oriented workflows.
• Exposure to R, laboratory information systems (LIS), or similar tools would be beneficial.
• Experience with regulated frameworks such as CAP, CLIA, or GCP, or with FDA-related guidance, is an advantage but not mandatory.

Benefits

• Permanent full-time employment with flexible working options, including remote work within Europe or a hybrid arrangement in Antwerp.
• Competitive compensation and a broad benefits package.
• The chance to work in an international, science-focused environment centered on improving patient outcomes.
• Strong support for training, learning, and ongoing professional growth in both technical and soft skills.
• Clear opportunities to advance within a fast-growing organization.
• Exposure to multinational clinical research projects and cross-functional teams.
• A collaborative, supportive atmosphere with experienced professionals.
• The opportunity to contribute to meaningful scientific work that can positively affect healthcare and therapy outcomes worldwide.

Application and privacy information

This employer uses an AI-assisted matching process to review applications quickly and fairly against the role’s core requirements. The most suitable candidates are shortlisted and shared with the hiring company, while interviews, assessments, and final hiring decisions are handled internally by the employer.

By applying, you agree that the recruitment platform will process your personal data to evaluate your application and share relevant details with the hiring company under applicable data protection laws, including GDPR. You may request access, correction, deletion, or objection at any time.

AI tools may also be used to support parts of the hiring workflow, such as resume screening, application review, and consistency checks. These tools assist recruiters but do not replace human judgment, and the final hiring decision remains with people.