Descripción de la oferta
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, , 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 ideal 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/Part-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: 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.
