Biostatistics Technician

The Vall d’Hebron Research Institute (VHIR) is a public-sector institution dedicated to promoting and advancing biomedical research, innovation and education at Vall d’Hebron University Hospital. Through research excellence, VHIR develops and implements innovative solutions to major health challenges, contributing to their impact and dissemination at a global level.

The Biomedical Data Intelligence Unit (BIDU) is a transversal core facility within the Digital Transformation Area, providing advanced expertise in biostatistics, bioinformatics, data science and artificial intelligence applied to biomedical research. BIDU serves as a key interface between research groups, clinical settings and institutional digital capabilities, ensuring methodological rigor, reproducibility, robust data governance, compliance with quality systems and the responsible use of data and AI.

Position Overview
The Biostatistics Officer will provide specialized biostatistical and analytical support to a wide range of biomedical research projects across the Vall d’Hebron Campus. The role involves contributing to study design, data analysis, methodological soundness and interpretation of results.

This position combines strong statistical expertise with the applied use of AI and machine learning techniques, alongside a service-oriented mindset. The successful candidate will work closely with researchers, clinicians, bioinformaticians, data scientists and project managers within BIDU.

Education and qualifications:
Required:

University degree in Statistics, Mathematics, Data Science, Artificial Intelligence, Bioinformatics, Health Sciences, Biomedical Engineering or a related field.

Professional proficiency in Catalan, Spanish and English.

Desired:

Postgraduate training (Master’s degree or equivalent) in Biostatistics, Statistics, Data Analysis, Artificial Intelligence or related disciplines.

PhD in Biostatistics, Epidemiology or Biomedical Research.

Additional training in research methodology, data management or quality systems.

Experience and knowledge:
Required:

Minimum of 2 years of professional experience (or equivalent) performing tasks related to data science, biostatistics, statistical analysis or biomedical data analysis.

Solid background in biostatistics, including:

descriptive and inferential statistics,

regression models,

survival analysis,

multivariate and longitudinal analysis.

Proven proficiency in statistical and analytical programming languages, particularly Python and/or R, including their use for:

data preparation and analysis,

implementation of machine learning and AI-based analytical approaches in biomedical or health-related research contexts.

Practical experience in data management and analytical workflows, including:

data cleaning and preprocessing,

transformation and preparation of research datasets.

Ability to produce technical and statistical reports and to communicate results clearly to non-technical audiences.

Desired:

Experience working in close collaboration with biomedical or translational research groups, including direct interaction with principal investigators, postdoctoral researchers and PhD students.

Experience in clinical research environments, including clinical trials and/or observational clinical studies.

Familiarity with clinical data capture systems such as REDCap or other electronic data capture (EDC) platforms.

Experience or familiarity with ETL tools and workflows, including data extraction, transformation and loading processes applied to biomedical or research datasets.

Strong practical knowledge of computational and bioinformatics environments, including:

Unix / GNU Linux systems.

Experience with statistical analysis software commonly used in biomedical research, such as Stata and/or GraphPad Prism.

Experience working under ISO 9000 quality standards or within quality-regulated environments, including process standardization, documentation and continuous improvement.

Knowledge of reproducible research practices, including scripted analyses, version control and documentation.

Strong service- and customer-oriented mindset, with the ability to work closely with biomedical researchers.

Main responsibilities and duties:

Provide biostatistical support and services to research groups across the Vall d’Hebron Campus, including:

participation in project kick-off and methodological meetings,

advising on study design, statistical methodology and analysis strategies.

Perform data management activities, including the preparation, validation and documentation of research datasets.

Conduct biostatistical and analytical analyses, including the application of machine learning techniques where appropriate, and prepare the corresponding technical and statistical reports.

Support researchers in the interpretation and communication of results, including participation in meetings where study findings are discussed.

Draft service proposals and associated budgets, in coordination with BIDU procedures and institutional guidelines.

Contribute to the definition, standardization and continuous improvement of analytical workflows and best practices within BIDU.

Collaborate closely with other BIDU profiles (bioinformatics, data science, AI and project management) to ensure methodological consistency and effective data integration across projects.

Participate in training, knowledge-sharing and capacity-building activities in line with the BIDU Training Plan.

Ensure compliance with institutional procedures, quality systems and data governance principles.

Labour conditions:

Full-time position: 37.5 hours/week.

Starting date: To be determined.

Gross annual salary: According to experience and skills, in line with the VHIR Collective Agreement.

Contract: Permanent.

What can we offer?

Incorporation to Vall d’Hebron Research Institute (VHIR), a public sector institution that promotes and develops the biomedical research, innovation and teaching at Vall d'Hebron University Hospital (HUVH), the biggest hospital of Barcelona and the largest of Catalan Institute of Health (ICS).

A scientific environment of excellence, highly dynamic, where high-end biomedical projects are continuously developed.

Continuous learning and a wide range of responsibilities within a stimulating work environment.

Individual training opportunities.

Flexible working hours.

23 days of holidays + 9 personal days.

Flexible Remuneration Program (including dining checks, health insurance, transportation and more)

Corporate Benefits: platform through which you can obtain significant discounts on travel, culture, technology, gastronomy, sports... among many others.

Healthy Offering: choose from a variety of wellbeing focused activities to be the healthiest you.

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 recommendations, and support in finding accommodation

Deadline to apply: 24-02-2026

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.