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. Versátil 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.
📌 Biostatistics Technician (Cataluña)
🏢 VHIR
📍 Cataluña