You develop and implement scalable semantic data solutions for global R&D teams using data engineering, ETL processes, big data analytics, and NLP pipelines in collaboration with internal and external partners
Job Summary
You develop and implement scalable semantic data solutions for global R&D teams using data engineering, ETL processes, big data analytics, and NLP pipelines in collaboration with internal and external partners.
You support the analysis of large, complex data sets to generate actionable insights for research and development—for example using GUIs, scientific workflows, machine learning, or advanced analytics.
We embrace diversity by providing an inclusive work environment in which you are welcomed, supported, and encouraged to bring your whole self to work.
Matching Summary
You develop and implement scalable semantic data solutions for global R&D teams using data engineering, ETL processes, big data analytics, and NLP pipelines in collaboration with internal and external partners.
Salary
Base: 86.200€ - 104.700€ per year; Bonus/Equity: variable component; Benefits: Not specified
Skills & Requirements
Must-have
data engineering
ETL processes
big data analytics
NLP pipelines
Python and/or Java programming
cloud platforms (AWS or Azure)
SQL and NoSQL databases
Nice-to-have
strong internal and external scientific network
passion for data engineering
interdisciplinary professional
quick learner of biological/chemical/medical concepts
Key Requirements
Master's degree or PhD
several years of professional experience
1-2 years of experience in life science applications