13 дней назад
Data Scientist Lab Automation VIE Contract (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Scientist Lab Automation VIE Contract (AI): Developing automated data handling workflows and digitalizing laboratory data processes for High-Throughput Screening with an accent on sample tracking, data pipelines, and analysis-ready datasets. Focus on designing lab automation workflows, integrating laboratory systems, and ensuring accurate data uploads in collaboration with lab operators, scientists, and developers.
Location: Frankfurt am Main, Germany. Full-time VIE assignment with a target start date of 01/12/2026. The program is available to European Economic Area citizens aged 18–28, and candidates cannot apply for an assignment in their own country of citizenship.
Company
is an R&D-driven, AI-powered biopharmaceutical company developing medicines and vaccines through immunoscience and scientific research.
What you will do
- Set up and maintain sample tracking and sample management systems.
- Develop and maintain scripts for file handling and data processing pipelines used by automated laboratory systems.
- Define and design automated data workflows and system requirements with the development team.
- Prepare structured, analysis-ready datasets to support hit selection.
- Manage accurate and consistent data uploads to internal databases.
- Improve lab automation processes and coordinate data requirements with lab operators, lab scientists, and data scientists.
Requirements
- Master’s degree in Bioinformatics, Data Science, Computational Biology, or a related field.
- Proficiency in Python, SQL, and relational databases.
- Experience with R and data visualization tools.
- Familiarity with laboratory automation systems such as Hamilton and Tecan.
- Experience with Git, LIMS, or ELN platforms.
- Fluent English, written and verbal, is required.
Culture & Benefits
- Work at the forefront of AI-powered science and drug development.
- Collaborate with multidisciplinary teams across science, clinical, and digital functions.
- Participate in a European youth work-abroad program offering meaningful assignments and professional growth opportunities.
- Work in an environment focused on diversity, equity, inclusion, and employee development.
- Maintain work-life balance in a supportive R&D environment.
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