Are you looking for a job where you can make a difference and work in a non-profit? Would you like to be a part of an ambitious and international organisation on the cutting edge of science? Then this position might be right up your alley.
The EBMT is a non-profit medical and scientific organisationwhich hosts a unique patient registryproviding a pool of data to perform studies and assess new trends.
Our mission
Save and improve the lives of patientswith blood-related disorders.
Your mission
Building and maintaining strong data pipelines that turn application and OMOP CDM data into formats ready for analysis.
Responsibilities and Tasks
Design, develop, and maintain pipelines to prepare and manage derived analysis-ready data objects from application database and OMOP CDM exports;
Develop scripts, workflows, or tools in SQL, R, or Python to automate dataset preparation and data transformations;
Prepare, interpret, analyse, and visualize complex data. Produce relevant, standard or custom data sets, reports, charts, graphs and tables for Marketing Authorisation Holders (MAHs), investigators, statisticians, managers and other end-users;
Prepare report and data changes logs;
Perform quality control, consistency checks preparation and data transformations;
Maintain documentation processes and workflows in accordance with EBMT standards and data governance policies;
Monitor and optimize data workflows for performance and to ensure timely and accurate output;
Develop tools or scripts to automate routine data management tasks;
Ensure compliance with data privacy, governance, and security policies.
Other responsibilities / activities include:
Instruct and provide guidance to less experienced staff;
Develop and produce key performance indicators and/or other metrics used to monitor and report data quality and performance.
May participate in meetings with internal study teams, working parties and/or external clients.
Requirements:
Fluent in English, excellent oral and written skills.
Bachelor’s or Master’s degree in Computer Science, Data Engineering, Bioinformatics, or a related field.
Solid understanding of data processing.
3–5+ years of experience in data programming or data engineering.
Strong experience in SQL, Excel, R or Python. Proficiency in R, SQL (especially PostgreSQL).
Understanding of data modelling, schema design, and relational database principles.
Knowledge of data management principles and regulatory requirements for data processing.
Detail-oriented with strong documentation and communication skills.
Ability to work independently and collaboratively in a team-oriented environment.
Demonstrated ability to manage multiple activities effectively, within timelines.
Strong analytical, planning and organisational skills.
Attention to detail.
Ability to collaborate effectively with colleagues and external contacts.
Desirable
Experience in coding best practices and collaborative development tools (i.e GitHub / GitLab).
Experience in working with standardized data models, preferably OMOP CDM.
Hands-on experience with healthcare data, registries, or clinical research databases.
Knowledge of artificial intelligence and machine learning models.
Familiarity with OMOP CDM, clinical terminologies (e.g., SNOMED, LOINC), and healthcare data standards or CDISC CDM terminologies.
Knowledge of GCP/GVP legislation and regulations applicable to clinical research.
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 month probation period. 1 year temporary contract.
25 days of vacation per year
Additional Benefits
Travel allowance for commuting on office days
Some foreign travel
Support in training and professional development
A pension arrangement with the National Civil Pension Fund
After 1 year of work with us, you will receive a one-off payment of 800 euros gross to help you set up your home office.
Location (Hybrid)
Please note: we do not sponsor visas.
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