The University Hospital Vall d'Hebron is highly
specialised in rare diseases on a regional, national and
international level with its incorporation as full member of 20 of
the 24 European Reference Networks (ERNs). The scientific
coordination of the ERN-EuroBloodNet , www.eurobloodnet.eu , the
ERN dedicated to Rare Hematological Diseases (RHD), is led by Dr
Mañú Pereira, head of the Rare Anemia Disorders research lab within
the “CANCER Y ENFERMEDADES HEMATOLOGICAS INFANTILES” group at the
Vall d’Hebron Research Institute. Within the ERN-EuroBloodNet and
in line with the upcoming European Health Data Space (EHDS) , our
team is coordinating several projects on European patients’
registries for rare hematological diseases : we are collecting
patients’ data from all over Europe to provide enough evidence for
shaping European health policies and to enable researchers to
access standardised, comparable data, ultimately aiming at
providing better care to patients affected by RHDs. ENROL (European
Rare Blood Disorders Platform) is the umbrella platform of ERN
EuroBloodNet, endorsed by the European Hematology Association. It
brings together new and existing registries for rare haematological
diseases and enables harmonised, interoperable collection of real
world data to support health planning and epidemiological
monitoring. Within ENROL, our group also coordinates RADeep (Rare
Anaemia Disorders European Epidemiological Platform) , the
dedicated umbrella registry for rare anaemia disorders. RADeep
supports the prospective and longitudinal standardised collection
of data of patients affected by any RADs, maximising public benefit
from data on RADs aiming at avoiding fragmentation of data by
promoting the standards for patient registries’ interoperability
and leading data driven research for RADs in Europe. In this
context, we are looking for a Biostatistician to join our Data
Driven team . As the Biostatistician of the group, you will support
the design, analysis, and interpretation of biomedical and
health-related studies (observational studies). You will also
contribute to data quality assessment, the preparation of tables,
figures, and reports, while working closely with clinicians, data
managers and IT developers. This position is idóneo for a motivated
early-career statistician looking to strengthen their
methodological skills, develop reproducible analytical workflows,
and progressively gain autonomy in a multidisciplinary research
environment. Education and qualifications: Required: University




degree in Statistics, Biostatistics or a related field; or a
university degree in the area of biosciences (e.g. Pharmacy,
Biology) with a Master's degree in Statistics or Biostatistics
English (B2 European level) Programming skills for statistical
analysis Desired: 1-2 years of experience in a similar role
Experience using R for statistical analysis Experience with REDCap
or other electronic data capture (EDC) systems Experience with
Pyhton Experience with data visualisation tools (e.g. Power BI)
Experience and knowledge: Required: Ability to work independently
as well as collaboratively in a multidisciplinary and international
team Desired: Previous experience in clinical research and
observational studies. Organisational and multitasking skills.
Interpersonal skills to interact with clinicians, data managers, IT
developers, and industry partners Main responsibilities and duties:
1. Study Support and Statistical Planning Contribute to the
statistical aspects of clinical studies, registries, and
observational research Assist in the definition of endpoints,
variables, and analysis populations. Help draft or review
statistical sections of protocols and analysis plans. Collaborate
with the update and execution of the Data Management Plan (DMP) 2.
Statistical Analysis and Programming Perform descriptive and
inferential statistical analyses following predefined analysis
plans Write and maintain analysis code in R (Python as a plus).
Ensure analyses are reproducible, well-documented, and aligned with
team standards. Use version control tools (e.g., Git). Stay up to
date with statistical methods and programming skills through
continuous learning. Gradually increase autonomy and responsibility
across projects. 3. Interpretation and Reporting Contribute to the
interpretation of results in collaboration with senior team
members. Prepare tables, figures, and listings for reports,
manuscripts, and presentations. Support the drafting of statistical
methods and results sections. Participate in internal review of
outputs to ensure accuracy and consistency. Labour conditions:
Full-time position: 37,5h/week. Starting date:



immediate Gross
annual salary: Remuneration will depend on experience and skills.
Salary ranges are consistent with our Collective Agreement pay
scale. Contract : Technical and scientific activities contract
linked to the project activities. 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: 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.

📌 Biostatistician (Rare Anemias Disorders ResearchLine) (Cataluña)
🏢 VHIR
📍 Cataluña