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.