Data Manager (Rare Anaemia Disorders Research Laboratory)

The University Hospital Vall d'Hebron is highly specialised in rare diseases at the regional, national, and international level, with its incorporation as a 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 Haematological Diseases (RHD), is led by Dr Mañú Pereira, head of the Rare Anaemia Disorders research laboratory within the "CANCER Y ENFERMEDADES HEMATOLOGICAS INFANTILES" group at Vall d'Hebron Research Institute (VHIR).

The research strategy of our research laboratory is focused on the development and validation of innovative methodological approaches for better characterisation of patients affected by rare anemia disorders according to their individual features to allow personal risk profiles and personalised medicine.

Within the ERN-EuroBloodNet and in line with the strategy at European level, the team is leading several projects on European patients' registries for rare haematological diseases, namely, the European Patients Registries on Rare Haematological Diseases, ENROL , and on Rare Anaemia Disorders, RADeep , aiming at avoiding fragmentation of data by promoting the standards for patient registries' interoperability.

Building on this expertise, the group is now launching RADiANT, a new research initiative that extends our data infrastructure beyond patient registries into clinical trial-grade research. RADiANT encompasses clinical outcomes research, including the definition of endpoints and study populations and the use of patient-reported outcome measures (PROMs); the design of external control arms; and Post-Authorisation Efficacy & Safety Studies (PAES & PASS). It also supports the re-use and integration of clinical data with -omics and functional analysis, the development of prognosis models combining advanced statistical and AI-based methods, federated approaches combining algorithms and platform infrastructure, and the extraction of unstructured data from electronic health records (EHR).

In this context, we are looking for a dedicated and detail-oriented Data Manager to join our team and support RADiANT. In this role, you will lead the design of the CRF and database, oversee data management and quality assurance, and ensure data interoperability with other initiatives in the group. You will also act as a key point of contact between our research group and Academic Research Organisations (AROs), helping to bridge clinical, biological, and technical perspectives across projects.

Main responsibilities and duties:

- Design of data collection tools
- Standardisation of variable definitions
- Assist in improving data collection and management processes to enhance data quality
- Identify discrepancies or anomalies in data and coordinate resolution for data cleaning and validation processes
- Act as the bridge between clinical teams, IT, and analysts, ensuring that datasets are complete, reliable, well-documented, and compliant with regulatory and ethical requirements.
- Collaborate with healthcare professionals and statisticians to gather, analyse, and report data insights

Education and qualifications:

Required:

- University degree in Biomedical Sciences, Health/Biomedical Informatics, or a related field.
- Fluency in Spanish and English (B2)

Desirable:

- Training in Clinical Research, Biostatistics, Health Data Science, or Clinical Data Management.
- Good Clinical Practice (GCP) certification.

Experience and knowledge:

Required:

- At least 1 year of experience working in clinical data management within clinical trials, patient registries, or observational studies, including CRF design, database build, data cleaning, and query management.
- Hands-on experience with EDC/CDMS platforms (e.g., REDCap, OpenClinica, Castor, or similar).
- Strong attention to detail, organisational skills, and the ability to communicate effectively with clinicians, biostatisticians, and external partners.

Desirable:

- Prior experience working within or alongside an Academic Research Organisation (ARO) or Contract Research Organisation (CRO).
- Experience supporting Post-Authorisation Efficacy & Safety Studies (PAES/PASS) or other pharmacovigilance-related data collection.
- Basic proficiency in R, or Python for data extraction and quality checks.

Labour conditions:

- Working hours : Full-time (37,5 hours per week).
- Starting date : As soon as possible.
- Gross annual salary : 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.

Deadline to apply: 07-10-2026

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 organisation, regardless of gender, civil status, family status, sexual orientation, gender identity and expression, religion, age, functional diversity or ethnicity.

Information on Personal Data Protection:
Data Controller: Fundació Hospital Universitari Vall d’Hebron Institut de Recerca -VHIR-. Purpose: Personnel selection. Legal Basis: Your consent. Data retention period: One year. If you are selected, as long as the employment relationship is in force and legal responsibilities may arise. Data sharing: Does not occur, except for communications necessary to fulfill the purpose and those required by law to public and private bodies. Rights: You can access, rectify, delete, object to, and limit the processing of data, as well as request data portability where applicable, by contacting [email protected] . DPO: [email protected] . More information can be found here .
Data Protection Authority: APDCAT