Clinical Database Engineer

Location: Budapest, Hungary
Published: September 8, 2023

Description

Center for Molecular Fingerprinting (CMF) 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 (https://www.lasers4life.de/). For that 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 research is performed in close collaboration with the attoworld laboratories led by Prof. Krausz at the Ludwig-Maximilians-Universität München (LMU, https://www.lmu.de/en/) and the Max-Planck Institute of Quantum Optics (MPQ, https://www.attoworld.de/). 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. 

If you:

  • would like to make a difference & be part of a project of historical importance with unprecedented magnitude, 
  • are motivated to proactively improve the quality of our ever-growing databases

then apply for our open position in Budapest

Our institution is setting up a unique longitudinal human research study with the participation of 15,000 individuals across Hungary over several consecutive blood donations to bring to the international forefront a groundbreaking diagnostic procedure that could be a game changer in the field of health monitoring. As a Clinical Data Engineer, you will take on the improvement, validation and further extension of our databases and corresponding data sets, in close collaboration with the data analysts and the clinical study team. We predominantly focus on databases that allow us to store, manage and monitor clinical information sets, blood sample data, blood sample tube data, different measurement data. Besides the above-mentioned study, we are making use of previously collected as well as still ongoing other studies as well. As a member of the data science team, you will be involved in designing and building systems to collect, store, and analyze biomedical data at scale

Major tasks include

  • Responsibility for setting up, maintaining and advancing clinical and laboratory databases
  • Data management according to best practices in the field, as well as documentation and training on data collection practices, query management and database procedures
  • Closely working with collaborators on data content requirements throughout the different steps of the data management lifecycle. 
  • Contributing to protocol development with a focus on data management issues and cross-study data collection consistency. 
  • Contributing to the design of study-specific clinical report forms (CRFs) and data manage-ment plans, in close cooperation with colleagues specializing in clinical project management and data analysis. 
  • Aiding in the setup and design of web-based clinical data collection forms. 
  • Preparing custom reports and datasets for further analysis. 
  • Closely collaborate with data analysis specialists and the clinical study team members, explore and understand the needs and help fluent data flow. 
  • Setting up and maintaining various data pipelines

Required attributes

  • Master's degree, preferably in informatics, or information systems or related areas.
  • Experience using (clinical) database setup and management. 
  • Having a computer science background. 
  • Experience in database design. 
  • 3+ years of experience in programming, math, physics, or any other related fields. 
  • Ability to multi-tasking and build efficient working relationships with a wide variety of col-laborators. 
  • Excellent level of English. 
  • EU citizen. 
  • Ability to work independently, team-spirited and engaged to work within a multicultural and trans-disciplinary environment. 

A strong plus, if you

  • Familiarity with Redcap, LIMS or a similar EDC system. 
  • Hungarian language knowledge. 

What we can offer

  • A broad range of activities in a dynamically evolving second-to-none endeavor and professional environment. 
  • Long-term opportunity with highly qualified and motivated professionals. 
  • A versatile range of work packages (cafeteria, professional training, guaranteed 30 days of annual vacation days for the whole year). 
  • Occasional home office
  • Work in an international environment and the opportunity for professional development. 
  • Solution-oriented atmosphere and the opportunity to participate in the success of a dynamic and growing organization. 
  • The location of the position is Budapest, Hungary

How you can apply

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