Technical Data, Imaging Biostatistics Officer

Biomedical Data Intelligence Unit (BIDU) The mission of this position is to act as a hands-on technical reference in medical imaging, clinical data and applied biostatistics within BIDU. The role is primarily focused on technical execution, ensuring the correct extraction, anonymisation, transformation, validation and delivery of biomedical datasets and imaging data, as well as the execution of applied biostatistical and data analysis tasks. The position operates under defined service scopes and project frameworks, contributing technical expertise to BIDU services while ensuring compliance with GDPR and institutional data governance policies. Education and qualifications: Required: University degree in Engineering, Computer Science, Data Science, AI, Bioinformatics, Biomedical Engineering, Biostatistics or related fields. Professional proficiency in Catalan, Spanish and English. Desired: Postgraduate training in Data Science, Biostatistics or Health Technologies Experience and knowledge: Required: Proven hands-on experience (3–4 years) in biomedical data or imaging environments. Direct experience with ETL pipelines, anonymisation and medical imaging data. Practical knowledge of Python and/or R. Experience working in Linux/Unix environments. Familiarity with REDCap or similar EDC systems.… Desired: Experience in AI/ML projects applied to healthcare. Knowledge of PACS architecture Knowledge of DICOM formatting Familiarity with privacy-preserving analytics or federated analysis approaches. Main responsibilities and duties: Execute data extraction, anonymisation and ETL pipelines for medical imaging and clinical/research data. Perform hands-on work with medical imaging datasets, including DICOM handling and interaction with PACS environments. Prepare and validate analysis-ready datasets, ensuring quality, traceability and reproducibility. Configure and manage REDCap projects, including database setup, validation rules and data exports. Carry out applied biostatistical analyses (descriptive, exploratory and basic inferential), under the coordination of BIDU biostatistics staff. Apply Python and/or R for data processing, quality control and analytical workflows. Maintain technical documentation related to data processing, pipelines and analytical procedures. Collaborate with BIDU project officers, biostatisticians and data scientists as part of multidisciplinary teams. Ensure compliance with GDPR, institutional data governance and security policies. Contribute to continuous improvement of technical workflows and data services. Labour conditions: Full-time position: 37,5h/week. Starting date: As soon as possible Gross annual salary: Remuneration will depend on experience and skills. Salary ranges are consistent with our Collective Agreement pay scale 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: 25-02-2026 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 organisation, regardless of gender, civil status, family status, sexual orientation, gender identity and expression, religion, age, functional diversity or ethnicity.