Digital Health and Real World Evidence Trainee (Data Science)

TL;DR

Digital Health & Real World Evidence Trainee (Data Science): Conducting statistical analysis of digital health and real-world data to generate medical insights with an accent on physiological signals and wearable data. Focus on applying mixed effects models, developing data processing algorithms, and harmonizing complex clinical datasets.

Location: Sant Feliu de Llobregat, Spain

Company

hirify.global is a leading pharmaceutical company focusing on transforming patients' lives through innovation in medical dermatology.

What you will do

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

Requirements

• PhD or MSc in Life Sciences, Data Science, Biomedical Engineering, Computer Science, Statistics, or a related field.
• Proficiency in Python and/or R, including packages for statistical modeling, data manipulation, and visualization.
• Strong interest in statistics, digital health analytics, and real world evidence generation.
• Strong analytical and problem-solving abilities with high attention to detail.

Nice to have

• Understanding of time-series analysis, signal processing, or digital biomarker development.
• Familiarity with clinical trial protocols, RWE data sources, and health data standards.

Culture & Benefits

• Paid internship for a duration of 6 months, with a possibility of extension to 12 months.
• Hands-on experience in the pharmaceutical sector, specifically within digital healthcare.
• Opportunity to contribute to cutting-edge research at the intersection of clinical research and digital health.
• Collaborative environment that encourages independent thinking, ownership, and professional growth.