↳Bachelor's or Master's degree in a scientific or computational discipline (e.g., Chemistry, life sciences, Bioinformatics, Cheminformatics, Data Engineering, Computer Science), or equivalent experience.
↳Solid experience in applying data engineering to scientific, laboratory data
↳LIMS customization, data models, and integration.
↳Integrating lab instruments, applications, robots, and IoT with reference databases and data warehouses (e.g., Snowflake).
↳Solid grasp of the lab solutions ecosystem: ELN, CDS, LES, multi-omics pipelines, IoT-connected equipment, barcode systems, etc.
↳Programming (e.g., Python, R, Java, Groovy).
↳Data engineering and modeling - ETL/ELT (Airflow, dbt), APIs, orchestration, SQL/NoSQL - with engineering rigor (Git, CI/CD, testing, data quality, observability, reproducibility).
↳Strong problem-solving and hands-on mindset
↳Excellent communication and stakeholder management skills
↳Experience collaborating with external vendors and data professionals and driving delivery through others
↳Ability to work in cross-functional and international teams
↳Strong organizational and prioritization skills
↳Fluent spoken and written English
