Clinical Data Engineer

• • Setting up, maintaining, and advancing clinical and laboratory databases.
  • Working closely with collaborators on data content requirements and ensuring data quality throughout the data management lifecycle.
  • Contributing to the design of study-specific clinical report forms (CRFs) and data management plans, in collaboration with clinical project management and data analysis colleagues.
  • Designing databases by combining individual datasets into a master database.
  • Creating and maintaining data flows between raw databases and the master database.
  • Ensuring data quality through close collaboration with data analysts to finalize data structures.

• Experience in database design and management.
• 3+ years of experience in programming.
• Master’s degree, preferably in informatics, information systems, or related fields.
• Ability to multitask and build efficient working relationships with a variety of collaborators.
• Excellent level of English.
• Ability to work independently, with a team spirit, and an engagement to work within a multicultural and transdisciplinary environment.

• Familiarity with REDCap, MBioLIMS, or similar electronic data capture systems.
• EU citizenship.
• Proficiency in the Hungarian language.

• A versatile range of work packages, including:
  • Higher-than-usual cafeteria allowance,
  • Private health insurance,
  • Yearly performance incentives,
  • 30 guaranteed annual vacation days,
  • Professional training opportunities.
• Home office option, 1-2 days per week.
• Team activities and team-building events.
• Office leisure opportunities: darts, table tennis, yoga.
• 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.

• Shower
• Corporate events
• Bicycle storage

The Center for Molecular Fingerprinting (CMF,  www.cmf.hu ) is developing cutting-edge femtosecond laser technologies to advance electric-field molecular fingerprinting techniques based on field-resolved infrared spectroscopy. The laser spectrometers developed at CMF will be utilized in large scale clinical studies to target disease detection. To this end, human samples along with clinical information have been collected to perform high-throughput measurements that will encompass several tens of thousands of sample measurements per year within the CMF laboratories.

The Data Science division specializes in exploring the potential of combining machine learning with spectroscopy to provide affordable medical screening solutions, complementing health checkups and supporting reliable clinical decisions.

The research is performed in close collaboration with the Attoworld laboratories led by last year´s Nobel laureate Prof. Dr. Ferenc Krausz at the Ludwig Maximillians Universität München (LMU) and the Max-Planck Institute of Quantum Optics (MPQ). The aim of the CMF operations is to apply next-generation laser spectrometers for the analysis of human blood samples to non-invasively detect disease and monitor health.

The Data Science division is a multinational team based in two locations—Budapest, Hungary and Munich, Germany—working on multiple clinical studies. Our flagship study, H4H (Health for Hungary - Hungary for Health), includes 15,000 participants with planned follow-up periods of 5-10 years. We are currently seeking a Clinical Data Engineer whose primary responsibility will be to integrate existing raw data sources and create a new, cleaned master database for further analysis.

We look forward to receiving your application, and kindly ask you to attach your professional resume.
If we find your application relevant, our HR department will contact you.