Trainee Data Management Engineer

Almirall; Sant Feliu de Llobregat; Presencial; EUR 25.000 - 35.000; Jornada completa

Descripción de la vacante

A leading company in pharmaceuticals is seeking a Data Management Engineer Trainee to support the AIDE group in organizing and managing data for its R&D pipeline. This role involves working with data models, processing pipelines, and interdisciplinary collaboration within the lab environment, requiring a strong background in data management and programming skills.

Formación

• Bachelor's or Master's degree in Computer Science or related field is required.
• Strong programming skills in Python and data management experience preferred.
• Experience with LIMS systems is a plus.

Responsabilidades

• Define data models and ingestion pipelines for R&D laboratories.
• Maintain channels for processing laboratory data types.
• Collaborate with R&D and IT for data management solutions.

Conocimientos

Proficiency in Excel

Programming skills

Data management skills

Presentation skills

Communication skills

Educación

Bachelor's degree or M.Sc. / M.Eng. in Computer Science

Degree in Statistics, Mathematics, Chemical Engineering, or related field

Herramientas

SQL Databases

Oracle SQL

Descripción del empleo

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.