Descripción de la oferta
JOB DESCRIPTIONThe Biostatistics Unit at the Germans Trias i Pujol Research Institute (IGTP) provides a full range of statistical services to IGTP campus researchers and external public and private organisations. We support researchers throughout the entire research process from study design and planning to data analysis and interpretation of results. Our mission is to improve the quality and rigour of biomedical research by providing expert biostatistical guidance. Our team consists of five highly qualified statisticians and mathematicians with extensive experience in health research.We are seeking a senior biostatistician to provide statistical and methodological expertise within our unit. The ideal candidate will have a proven track record of making valuable contributions independently from developing protocols and designing analysis plans to conducting complex statistical analyses and interpreting results for publication. They will be responsible for guiding statistical strategy, mentoring junior staff, and ensuring the highest standards of analytical integrity across our projects.We are looking for a proactive collaborator who can drive methodological innovation, communicate effectively with research teams, and play a key role in shaping our scientific direction. If you are motivated to apply your advanced expertise to impactful research, influence best practices and help us achieve our ambitious scientific goals, we encourage you to apply.MAIN RESPONSIBILITIESProvide statistical leadership from study design through analysis, including developing statistical analysis plans, determining methodological strategy, and serving as the lead biostatistician on assigned projects.Perform advanced statistical analyses, interpret results, and author/review the statistical content for study reports, manuscripts, and regulatory submissions.Ensure analytical quality and mentor junior team members through oversight of statistical programming and methodology.Collaborate closely with clinical, regulatory, and data management teams to align statistical strategy with overall project goals.QUALIFICATIONS AND EXPERIENCIEA Ph.D. in Biostatistics, Statistics, or a closely related quantitative field.More than 5 years of experience applying statistical methods in a research setting, preferably within the life sciences or healthcare.Advanced proficiency with statistical programming in R for data analysis, modelling, and visualization.Proficiency in English.Strong interpersonal skills, adaptability, and a collaborative approach to teamwork.A Master's degree in Biostatistics or Data Science will be considered an asset.Experience with other statistical software (e.g., SAS, Stata) and knowledge of regulatory guidelines (e.g., ICH-GCP) is a valued asset.WHAT WE OFFERIndefinite positionFebruary 2025.Flexible payment (childminding vouchers, restaurant).23 days holiday and 5 days for personal matters; 2 days for Easter; 2 days for Christmas.Training capsules by the company.Be part of an excellent multidisciplinary research centre with the HRS4R badge.Location on the Can Ruti Campus – a first‐class translational research environment in the Barcelona area – in a very stimulating scientific environment. The IGTP offers a supportive, friendly, and collaborative ecosystem to promote professional development and help you achieve your research goals.HOW TO APPLYInterested persons must attach the following to the application:Motivation letter explaining their interest in the position.Updated CV.Contacts of 2–3 references.Applications will be evaluated in accordance with the guiding principles and objectives of the supply systems following the process described below:Curricular evaluation : analysis of the curriculum vitae to assess aspects related to training, professional career and experience in positions related to the job position under selection.Personal interview : once the résumé has been evaluated the selected candidates will be called for a personal interview to verify and expand on the information detailed in the résumé and to evaluate aspects related to experience and professional skills.Applications that do not meet the requirements or are not processed in accordance with the established procedure will not be considered in the selection process.DEADLINE FOR APPLICATIONSThe call for applications will close on 25th January 2026 .About usThe Germans Trias i Pujol Research Institute (IGTP) is a public research centre located in Badalona. Its main objective is to increase scientific knowledge in order to transform it into solutions to improve the health and medical care of patients and the community.The Institute is associated with one of the major university hospitals in the Barcelona area – the Germans Trias i Pujol Hospital – and is part of the Can Ruti biomedical campus. IGTP is a CERCA centre and is also accredited as a centre of excellence by the Instituto de Salud Carlos III (ISCIII) and is in charge of coordinating the management and scientific strategy of the campus, working in close collaboration with the other centres.Scientists working in the nine research areas (Cancer; Cardiovascular and Respiratory Diseases; Community Health; Diseases of the Liver and Digestive Tract; Endocrine and Diseases of the Metabolism, Bones and Kidneys; Immunology and Inflammation; Infectious Diseases; Neuroscience; Science of Behaviour and Substance Abuse) publish an average of over 900 papers a year, contribute to improved treatment and healthcare protocols, produce patents and set up spin‐off companies to improve the lives of patients.The IGTP in its commitment to equal opportunities guarantees equal treatment between candidates and persons with a degree of disability equal to or greater than 33% as accredited by the Spanish Autonomous Regions or the State Administration or who have been declared to have a total permanent disability in a different profession through a resolution of the National Institute of Social Security while retaining functional capacity for the completion of the tasks of the post will be positively considered.#J-18808-Ljbffr
