Real-World Evidence Analyst – Engineer

🕒 June 24

🇨🇭 Switzerland – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧐 Analyst

👻 Ghost score 85%

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rewoso - real world solutions

WebsiteLinkedInAll Job Openings

2 - 10 employees

🏥 Healthcare

💼 Consulting

📦 Logistics

Healthcare • Consulting • Logistics

rewoso - real world solutions is a data-driven healthcare company specializing in real-world evidence (RWE), precision medicine analytics, and digital health solutions. They partner with pharmaceutical and biotech firms, medical research institutions, and digital health technology companies to deliver real-world data services such as external control arms, comparative effectiveness research, post-authorisation safety studies, registry digitalization, and AI-powered predictive models (e. g. , PHREND®) and digital health products (e. g. , DIGA Manager, MS Buddy) that support clinical decision-making, market access, and long-term patient monitoring.

📋 Description

• Build and maintain data pipelines and support data engineering tasks • Conduct statistical analyses on real-world healthcare data • Contribute to or lead interpretation of results and generation of insights • Support or lead development of Statistical Analysis Plans (SAPs) • Collaborate with physicians, clinical experts, and medical registries in areas including neurology, rheumatology, gastroenterology, and dermatology • Work with cross-functional teams across multiple projects • Translate complex healthcare data into actionable insights for clinical and regulatory decision-making • Contribute to real-world evidence generation across varied projects, disease areas, and data sources • Help develop innovative digital health solutions aimed at improving patient outcomes

🎯 Requirements

• Required Master’s degree in a technical or quantitative field, such as data science, pharmaco-epidemiology, statistics, engineering, or computer science • Strong programming/engineering skills; R preferred, with Python acceptable • Solid understanding of data analysis and statistics • Fluency in English and German • Proficiency in Microsoft Office (Excel, PowerPoint, Word) • High level of flexibility and a service-oriented mindset • PhD and/or relevant work experience (nice to have) • Research expertise (nice to have) • Experience in the pharmaceutical industry, ideally in a regulatory context (nice to have) • Knowledge of advanced statistical modeling, such as causal inference methods (nice to have)

🏖️ Benefits

• Unique data access: Work with exclusive real-world datasets and medical registries across Europe • Science meets consulting: Combine rigorous analytics and strategic thinking with a scientific mindset and client-oriented consulting approach • High-impact projects with leading global pharmaceutical companies • Flat hierarchies and fast decision-making • Direct exposure to clients and senior experts • Remote-friendly setup • High degree of autonomy and trust • Innovation-driven environment focused on next-generation digital health solutions

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