Data Engineer-Bioinformatics Technician

• Participate in initial meetings with researchers to understand bioinformatics analysis requirements and study needs.
• Harmonise, anonymise and prepare data for AI training and/or validation.
• Perform data management tasks, including curation, transformation, validation, and documentation.
• Prepare technical reports and analysis documentation.
• Support researchers in interpreting and communicating results.
• Ensure compliance with quality standards, data governance principles and institutional procedures., * Incorporation into the Vall d'Hebron Research Institute (VHIR), a public sector institution that promotes and develops biomedical research, innovation and teaching at Vall d'Hebron University Hospital (HUVH), the largest hospital in Barcelona and the largest within the Catalan Institute of Health (ICS).
• A dynamic scientific environment of excellence, where cutting-edge biomedical projects are continuously developed.
• Continuous learning and career development pathways.
• Flexible working hours.
• 23 days of annual leave plus 9 personal days.
• Flexible remuneration programme, including meal vouchers, health insurance, transport and more.
• Corporate benefits platform, offering significant discounts on travel, culture, technology, gastronomy, sports and more.
• Healthy offering- "Feel Good, Feel VHIR": VHIR's wellbeing programme offers a variety of activities to help staff thrive-physically, mentally, and socially. Through four pillars-Feel Well, Feel Connected, Feel Empowered, Feel Welcomed-it fosters health, growth, and community.
• International mobility support (Welcome Services): we aim to make your arrival in Barcelona smooth and pleasant by providing city information, guidance on required procedures, access to the International Welcome Desk, family support and assistance with finding accommodation.

Deadline to apply: 21-04-2026

How We Hire:

Pre-selection: Candidates are shortlisted based on their skills, qualifications, and relevant experience as outlined in their CVs.

Interviews: Meetings may be held with Talent Acquisition and/or the hiring manager.

Practical assessment: Depending on the role, candidates may complete a case study, technical task, presentation, or written exercise, on-site or remotely.

Checks: Education, references, and other job-related verifications may be carried out.

Job offer: The selected candidate receives a formal job offer upon successful completion of the process.

VHIR embraces Equality and Diversity. As reflected in our values we work toward ensuring inclusion and equal opportunity in recruitment, hiring, training, and management for all staff within the organization, regardless of gender, civil status, family status, sexual orientation, gender identity and expression, religion, age, functional diversity or ethnicity.

• Degree in Bioinformatics, Computer Science, Data Science, Artificial Intelligence, or a related field.

Desirable:

• Postgraduate qualification (Master's degree or equivalent) in relevant disciplines.

Experience and knowledge:Required:

• At least two years of experience (or equivalent) in bioinformatics or biomedical data analysis.

• Proven experience in bioinformatics data analysis, including:

• Pre-processing and analysis of biological datasets.

• Execution of bioinformatics workflows and pipelines.

• Strong practical knowledge of computational and bioinformatics environments, including:

• Scripting and analytical programming using Python, SQL, and/or R.

• Experience working with and harmonising different types of sensitive data, such as:

• Sociodemographic information.

• Clinical history (including diagnoses).

• Medical imaging.

• Laboratory test results and biopsy data.

• Ability to produce technical reports, document analyses, and communicate results clearly., * Experience working in collaborative biomedical research groups, with direct interaction with researchers.

• Familiarity with electronic data capture (EDC) systems (e.g. REDCap or similar platforms).

• Experience with ETL tools and workflows (data extraction, transformation and loading), particularly in biomedical or research settings.

• Strong practical knowledge of computational and bioinformatics environments.