For one of our key clients, we are looking for an experienced Scientific Data Engineer to join a strategic initiative focused on enabling scientific teams to better manage, process, and exploit laboratory data through innovative data solutions and automation.

Position Details

Role Title: Scientific Data Engineer

Location: Barcelona (Hybrid, 2-3 days per week onsite)

Start Date: December 1st

Duration: 1 year + possible extension

Workload: 40 hours/week

Project Environment The successful candidate will join the Scientific Data Platform , working closely with Data Science, IT, and Laboratory teams to develop Python-based solutions that automate scientific processes, transform laboratory data, and create advanced visualizations.

This is a highly collaborative role with direct interaction with scientific stakeholders, combining technical development with business understanding to deliver innovative data solutions within a Pharma/Biotech environment.

Key Responsibilities

- Develop scientific applications using Python.
- Automate laboratory data processes and workflows.
- Create dashboards and data visualizations.
- Translate scientific requirements into technical solutions.
- Develop prototypes and new platform functionalities.
- Collaborate with Data Science, IT, and Laboratory teams.

Required Skills
- 5+ years of Python development experience.
- 3-5 years working with scientific or laboratory data.




- Experience with dashboards and data visualization.
- Strong knowledge of Databricks and Jira.
- Experience in Pharma or Biotech environments.
- Strong stakeholder management and communication skills.
- Fluent English.

Nice to Have
- Degree in Life Sciences.
- Experience with scientific data platforms and laboratory workflows.
- Background working in cross-functional scientific environments.

If you're interested or know someone who could be a great fit, feel free to reach out.

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📌 Scientific Data Engineer (Barcelona)
🏢 Huxley
📍 Barcelona