R Developer with Bio Background

📋 Description

• Develop and maintain R-based solutions for statistical programming, data analysis, visualization
• Build interactive applications and data tools using R/Shiny for researchers and clinical teams.
• Design reproducible data processing pipelines with software engineering quality standards.
• Collaborate with clinical, scientific, and technical stakeholders to translate needs into technical
• Support regulatory and trial workflows with compliant data solutions.
• Contribute to reusable R packages, tools, and frameworks to improve scalability.

🎯 Requirements

• Strong proficiency in R for statistical analysis, data manipulation, visualization, and app
• Experience in life sciences, bioinformatics, biostatistics or related domains.
• Knowledge of CDISC standards (SDTM, ADaM, SEND) and industry best practices.
• Experience with TLF reporting and clinical data reporting processes.
• Familiarity with GxP-regulated environments and validation principles.
• Remote collaboration and English communication skills; Master’s or equivalent in relevant field is

🎁 Benefits

• Fully remote work across Europe, Poland, or LATAM with flexible hours.
• Meaningful projects in drug discovery and clinical research.
• High technical ownership and opportunity to evolve data applications.
• Collaboration with engineers, data scientists, bioinformaticians, and life science professionals.
• Competitive B2B compensation aligned with experience.
• Professional development, conferences, workshops, and growth initiatives.