The EBMT is a non-profit medical and scientific organisation which hosts a unique patient registry providing a pool of data to perform studies and assess new trends. 

Our Mission

Save and improve the lives of patients with blood-related disorders.

YOUR MISSION

Perform data management for prospective and commercially funded clinical studies.

Work under the general direction of the Clinical Study Lead and/or Data Manager Lead.

RESPONSIBILITIES AND TASKS

The main responsibilities are:

• Develop and manage systems/tools to organise, collect, enter, clean, report, and monitor large amounts of complex clinical data.
• Prepare, interpret, analyse, and visualize complex data.
• Ensure data quality and completeness by performing data quality checks.
• Review (and generate) study reports, abstracts/manuscripts before submission in collaboration with Marketing Authorisation Holders (MAHs), investigators, statistician and others
• Integrate data from several sources. 
• Perform verifications of own work or that of others to ensure conformance with established procedures.
• Contribute to the optimisation of data processes within the Clinical Study Unit.

The other responsibilities may include but are not limited to:

• Develop and maintain all documents and procedures related to the data management aspects of studies in accordance with applicable legislations, regulations and standard operating procedures.
• Instruct and provide guidance to less experienced staff and data entry clerks.
• Participate in meetings with internal study team and/or external clients. 
• Support EBMT Registry staff with the development of Registry data collection forms. May test new software and participate in approval and release process for new software.
• Review study proposals/protocols, conduct feasibility studies and assessing potential bottlenecks for study conduct.
• Based on the study protocol, apply practical understanding of the data and data processing methods. 
• Create data requests/CRF or surveys. Coordinate data collection with centres, assist with data entry when needed.

• Bachelor’s Degree in bioinformatics, computational sciences, applied mathematics, biomedical sciences or a related field
• Minimum of 1 year of daily work experience working with R software environment for statistical computing and graphics
• Minimum of 1 year of work experience in data processing
• Knowledge and demonstrated experience with relational databases, data integration, analysis and statistics
• Fluent in English, excellent oral and written skills
• Ability to produce data in a clear and understandable manner meeting user requirements
• Ability to work with data of varying levels of quality and validity
• Ability to prioritise workload and meet deadlines
• Initiative

NICE-TO-HAVES

• Master’s Degree in bioinformatics, computational sciences, applied mathematics, biomedical sciences or a related field
• 2 years of experience in data management
• Experience working with SPSS syntax or other statistical and programming software
• Knowledge of data management principles and regulatory requirements for data processing
• Knowledge of GCP/GVP legislation and regulations applicable to clinical research

Fixed-term contract: with the possibility of staying with us in the long term.

WHAT WE OFFER

• Be part of a non-profit society where you can make a difference
• Work alongside a multicultural and diverse international team
• Based in Leiden or surroundings - attendance to EBMT offices 2 days per week and working remotely 3 days.
• Full-time position (36 hours/week)
• Flexible working hours (starting from 8am to 10am and finish accordingly).
• 1 year contract with the possibility of staying with us in the long term
• 1 month probation period
• 25 days of vacation per year
• Salary: 3204 - 3445 euros gross/month (depending on previous experience).

ADDITIONAL BENEFITS (once probation period is over)

• Travel allowance for commuting on office days
• An end of the year payment
• 8% holiday remuneration
• Some foreign travel
• Support in training and professional development
• A pension arrangement with the National Civil Pension Fund
• You may join our collective health insurance policy (covered by employee)