Data Scientist (Health Services Research)

• To identify and integrate available data sources to support clinical and translational research activities.
• To perform data analyses and interpret results to contribute to the group’s research projects.
• To support data management and data quality processes within the research group
• To collaborate in the development and validation of AI-based tools within the Vall d’Hebron AI working group., 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.

• Bachelor’s degree in Computer Science, Mathematics, Statistics, Engineering or related fields.

Desirable:

• Master’s degree in Data Science, Data Analytics or related fields.
• Fluency in Catalan and Spanish, Desirable:
• Proficiency in Python and/or R for data analysis and statistical computing.
• Knowledge of SQL and database management.
• Experience in data analysis, preferably in a healthcare environment.
• Knowledge of data governance principles and European health data spaces (EHDS).

• Working hours: Full-time (37,5 hours per week).
• Starting date: As soon as possible.
• Gross annual salary: 35.000-37.627,74€ (Remuneration will be determined by experience, skills and responsibilities and aligned with the Collective Agreement pay scale).
• Contract type: Technical and scientific activities contract linked to project activities

What can we offer?

• 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.

Vall d’Hebron Research Institute (VHIR) is a public sector institution that promotes and develops biomedical research, innovation and teaching at Vall d’Hebron University Hospital, one of the largest hospital campuses in Europe. The I2P2-RG (Infections and Immunodeficiencies in Paediatric Patients Research Group) conducts research and implementation projects focused on child health, immunodeficiencies, infectious diseases and health systems strengthening, both in high and low- and middle-income countries. The group collaborates with international partners and healthcare institutions to generate evidence and improve clinical care for vulnerable populations.