Real-World Evidence (RWE) Analyst / Engineer
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
Apply To This Job
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
Apply To This Job