ph3Digital Health Real World Evidence Data Analysis Intern /h3 pWe are seeking an intern with a strong scientific mindset, natural curiosity, and a passion for learning to join our Data Science team. /p h3Job Summary /h3 pThis internship focuses on statistical analysis and interpretation of data from digital health technologies and real world data sources, including wearable signals, mobile health data, EHR, claims, and registries. The intern will work across the interface of digital health, clinical research, and RWE analytics to generate insights from complex datasets. /p h3Responsibilities /h3 ul liConduct exploratory and statistical analyses of digital health datasets, including physiological signals, continuous monitoring data, and sensor-derived metrics. /li liApply statistical models such as mixed-effects models, longitudinal analyses, and time-series methods to evaluate digital endpoints and health outcomes. /li liSupport algorithm development for data processing, feature extraction, and digital biomarker assessment. /li liAssist in the design and execution of RWE studies using data sources such as EHR, claims, and disease registries. /li liClean, curate, and harmonize clinical, RWE, and digital health datasets to prepare them for statistical analysis. /li liPerform quality control checks on raw and processed data.



/li /ul h3Education and Qualifications /h3 pUniversity degree complemented by a PhD or MSc in a relevant field (life sciences, data science, biomedical engineering, computer science, statistics, or related discipline). /p ul liStrong interest in statistics, digital health analytics, clinical research, and real world evidence generation. /li liProficiency in Python and/or R, including packages for statistical modelling, data manipulation, and visualization. /li liUnderstanding of time-series analysis, signal processing, or digital biomarker development is an advantage. /li liFamiliarity with clinical trial protocols, RWE data sources, and health data standards is a plus. /li liExcellent organizational skills with the ability to manage multiple tasks and priorities. /li liStrong analytical and problem-solving abilities with high attention to detail. /li /ul h3Internship Details /h3 pThe duration of the paid internship is 6 months with the possibility of extension to 12 months. The intern will gain hands-on experience in the pharmaceutical sector, particularly in digital healthcare, and contribute to cutting-edge research at the intersection of clinical research and digital health. /p /p #J-18808-Ljbffr

📌 Digital Health and Real World Evidence Trainee (San Feliú de Llobregat)
🏢 Almirall
📍 San Feliú de Llobregat