We are seeking a Data Management Engineer Trainee to join the AIDE group (Artificial Intelligence and Data Engineering) at R&D Data Science team. The ideal candidate will help to organize data from our R&D laboratories, as well as helping to overseeing manage data processing channels to support our research pipeline.
The candidate may be involved or helping in the following tasks :
* Data Model Development : Defining data models / schemas and ingestion pipelines in our R&D LIMS (Laboratory Information Managing System) system.
* Data Processing Pipelines : Maintain and utilize channels for processing various laboratory data types, focusing on chemical and biochemical assay data into our LIMS and data visualization systems.
* Interdisciplinary Collaboration : Collaboration with internal chemical and biological R&D laboratories to understand their data needs, and with IT for data management issues.
Bachelor’s degree or M.Sc. / M.Eng. in Computer Science, Statistics, Mathematics, Chemical Engineering, or a related field.
* Proficiency in Excel.
* Strong programming skills (Python preferred) (Other languages will be a plus).
* Strong data management skills (SQL Databases, Oracle SQL is preferred).
* Good presentation and communication skills, explaining complex analytics concepts to colleagues at all levels.
* Comfortable working in a multidisciplinary place.
Experience with data management and LIMS systems is a plus.
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