R Developer with Bio Background

📋 Description

• Develop and maintain R-based solutions for statistical programming, data analysis, visualization
• Build interactive R/Shiny apps to help researchers explore complex datasets.
• Design and maintain reproducible data processing pipelines with quality standards.
• Collaborate with clinical, scientific, and technical stakeholders to translate needs into solutions.
• Apply clinical trial, bioinformatics, and regulated environment knowledge to deliver compliant data
• Support 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 programming and clinical data reporting processes.
• Familiarity with GxP-regulated environments and validation principles.
• Experience with Medical Data Review, Pharmacovigilance, and clinical workflows.

🎁 Benefits

• Fully remote work across Europe, Poland, or LATAM with flexible hours.
• Meaningful projects in drug discovery, clinical trials, and scientific decision-making.
• High technical ownership with opportunities to evolve data apps.
• Collaboration with engineers, data scientists, bioinformaticians, and life science pros.
• Competitive B2B compensation aligned with experience.
• Professional development through learning opportunities and conferences.