Real-World Evidence Analyst / Engineer

This is a fully remote position, open to applicants in Switzerland.

📋 Description

• Develop and sustain data pipelines while assisting with data engineering tasks.

• Perform statistical analyses on real-world healthcare datasets.

• Contribute to or take the lead in interpreting results and generating insights.

• Assist in or direct the creation of Statistical Analysis Plans (SAPs).

• Collaborate intensively with physicians, clinical specialists, and medical registries (e.g., in neurology, rheumatology, gastroenterology, dermatology).

• Work alongside cross-functional teams on a variety of projects.

⛳️ Requirements

• Master’s degree in a technical or quantitative discipline (e.g., data science, pharmaco-epidemiology, statistics, engineering, computer science).

• Excellent programming and engineering abilities (R preferred; a general-purpose programming language like Python is acceptable).

• Strong grasp of data analysis and statistical methods.

• Proficiency in both English and German.

• Skilled in Microsoft Office (Excel, PowerPoint, Word).

• High level of adaptability and a service-oriented approach.

🏝️ Benefits

• Unique data access: Engage with exclusive real-world datasets and medical registries throughout Europe.

• Science meets consulting: Function at the crossroads of thorough analytics and strategic thought, merging a scientific approach with a client-focused, consulting mindset.

• High-impact projects: Partner with leading global pharmaceutical firms on strategically significant evidence generation.

• Entrepreneurial culture: Enjoy flat hierarchies, rapid decision-making, and direct interaction with clients and senior specialists.

• Flexibility: Benefit from a remote-friendly environment that offers a high level of autonomy and trust.

• Innovation-driven atmosphere: Utilize real-world evidence to help shape and advance next-generation digital health solutions.