Real-World Evidence (RWE) Analyst / Engineer at rewoso AG

Zurich, Zurich, Switzerland -

Full Time

Start Date

Immediate

Expiry Date

10 Sep, 26

Salary

0.0

Posted On

13 Jun, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

R, Python, Data Analysis, Statistics, Data Engineering, Pharmaco-epidemiology, English Fluency, German Fluency, Microsoft Office, Causal Inference, Statistical Analysis Plans, Real-World Evidence

Industry

Data Infrastructure and Analytics

Description

Your mission We are looking for a motivated and versatile RWE Analyst / Engineer to join our growing team. This role combines technical data work with analytical thinking and exposure to high-impact projects in the pharmaceutical industry. You will work across a variety of projects, disease areas, and data sources, contributing to the generation and interpretation of real-world evidence in Europe and beyond. You will collaborate closely with physicians, medical registries, and leading pharmaceutical companies to translate complex data into actionable insights that inform clinical and regulatory decision-making. Your responsibilities: Build and maintain data pipelines and support data engineering tasks Conduct statistical analyses on real-world healthcare data Contribute or lead to the interpretation of results and generation of insights Support or lead the development of Statistical Analysis Plans (SAPs) Collaborate closely with physicians, clinical experts, and medical registries (e.g., in neurology, rheumatology, gastroenterology, dermatology) Work with cross-functional teams across multiple projects Your profile Required Master’s degree in a technical or quantitative field (e.g., data science, pharmaco-epidemiology, statistics, engineering, computer science) Strong programming/engineering skills (R preferred; general purpose programming language such as 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 Nice to Have PhD and/or relevant work experience Research expertise Experience in the pharmaceutical industry, ideally in a regulatory context Knowledge of advanced statistical modeling (e.g., causal inference methods) Why us? Unique data access: Work with exclusive real-world datasets and medical registries across Europe Science meets consulting: Operate at the intersection of rigorous analytics and strategic thinking, combining a scientific mindset with a client-oriented, consulting approach High-impact projects: Collaborate with leading global pharmaceutical companies on strategically relevant evidence generation Entrepreneurial culture: Flat hierarchies, fast decision-making, and direct exposure to clients and senior experts Flexibility: Remote-friendly setup with a high degree of autonomy and trust Innovation-driven environment: Leverage real-world evidence to help shape and develop next-generation digital health solutions About us At Rewoso, we specialize in the generation of high-quality real-world evidence to support clinical, regulatory, and strategic decision-making in healthcare. On a day-to-day basis, we work with real-world data from European medical registries—to design & develop statistical approaches, and translate data into actionable insights in close collaboration with physicians and pharmaceutical partners. Building on this experience, we go beyond evidence generation: we leverage our deep understanding of real-world clinical practice and data to develop innovative digital health solutions that aim to improve patient outcomes. Learn more at: www.rewoso.com

Responsibilities

Build and maintain data pipelines while conducting statistical analyses on real-world healthcare data. Collaborate with physicians and pharmaceutical companies to translate complex data into actionable clinical and regulatory insights.