- Adoption of the existing data management solution for automated formulation screenings and adaptation of the data handling to changing conditions:
- Web-based frontend as user interface for the scientists of the own lab group (single page application e.g. for experimental design)
- Python scripts (backend on Hadoop) for data processing (e.g. ETL) and communication with the web frontend.
- Continous delivery / deployment of prototypes and tests (DEV environment), as well as stable releases (PROD environment) for pipeline screenings.
- Python scripts for the evaluation of analytical data
- Connection to further tools like Business Intelligence (visualization with Tibco Spotfire) using existing interfaces
- Python scripts for exporting worklists (XML and CSV files) from existing templates for laboratory automation (e.g. Liquid Handler or CDS System)
- Documentation and description of the created scripts and data processing in GIT and in the electronic lab book (eLN)
- Support of the lab automation with Python scripts for data processing (e.g. logfile and data analysis)
- Link between local IT department and own lab group
- Support of laboratory automation by Python scripts for data processing (e.g. log file and data evaluation)
- Link between local IT department and own lab group
- Successfully completed Master's degree in the field of IT or Bachelor's degree with additional qualification.
- Several years of experience in Python (e.g. Pandas / Numpy for backend in Hadoop environment)
- Profound experience in frontend development with Javascript (Vue.js)
- Ideally, experience working in interdisciplinary teams of scientists, engineers, and computer scientists
- Ability to present and explain complex IT issues in a plausible way
- Independent and self-reliant way of working
- Structured and self-organized work with appropriate documentation
- Openness to a rapidly changing environment with many challenges
- Fluent in written and spoken English
Company
Location
Ludwigshafen am Rhein - Germany
Job type
Full-Time
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