Scientific Data Manager and Research Software Engineer in Precision Oncology and Multiomics
vor 2 Wochen
Your role
- Establish and maintain a FAIR data repository for primary and derived data from INTeRCePT collaborators, utilizing EMBL's advanced IT infrastructure.
- Import, perform initial quality assurance and quality control, consistency and completeness checks, document, and add metadata to the data.
- Create the necessary conditions for dataset integration, such as identifier consistency.
- Support researchers in finding, accessing, and troubleshooting data.
- Upload data to public repositories, in conjunction with scientific publications, under the guidance of the researchers.
- Develop interfaces for data visualization and browsing, and perform data transformations to make them suitable for machine learning / AI methods.
- Adapt and further develop open-source scientific software useful for the above tasks.
- Engage with scientific data management and research software engineering in the broader scientific community internationally, e.g., by contributing open-source tools and training material.
Key responsibilities
- Contract duration: until 12/2026
- Grading: 4, 5, 6 depending on experience and qualifications (monthly salary starting at €3,607 after tax but excl. pension & insurances) + benefits
- Reference number: HD02682
Requirements
- A university degree in the natural or life sciences, and experience with biological data analysis. A PhD, and experience in scientific computing are an advantage.
- A passion for detail, for keeping things well-organized, and for working with others.
- Knowledge of R and Python: good in at least one, at least basic in the other.
- You enjoy creating interactive websites using tools such as shiny and quarto.
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