Digital Health & Real World Evidence Data Analysis Intern

We are seeking an intern with a strong scientific mindset, natural curiosity, and a passion for learning to join our Data Science team.

Job Summary

This 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.

Responsibilities

- Conduct exploratory and statistical analyses of digital health datasets, including physiological signals, continuous monitoring data, and sensor-derived metrics.
- Apply statistical models such as mixed-effects models, longitudinal analyses, and time-series methods to evaluate digital endpoints and health outcomes.
- Support algorithm development for data processing, feature extraction, and digital biomarker assessment.
- Assist in the design and execution of RWE studies using data sources such as EHR, claims, and disease registries.
- Clean, curate, and harmonize clinical, RWE, and digital health datasets to prepare them for statistical analysis.
- Perform quality control checks on raw and processed data.





Education and Qualifications

University degree complemented by a PhD or MSc in a relevant field (life sciences, data science, biomedical engineering, computer science, statistics, or related discipline).

- Strong interest in statistics, digital health analytics, clinical research, and real world evidence generation.
- Proficiency in Python and/or R, including packages for statistical modelling, data manipulation, and visualization.
- Understanding of time-series analysis, signal processing, or digital biomarker development is an advantage.
- Familiarity with clinical trial protocols, RWE data sources, and health data standards is a plus.
- Excellent organizational skills with the ability to manage multiple tasks and priorities.
- Strong analytical and problem-solving abilities with high attention to detail.

Internship Details

The 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.

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