R Developer with Bio Background

What we expect from you: Proficient in R for statistical programming, data manipulation, and visualization Knowledge of CDISC standards (e.g., SDTM, ADaM, SEND) and industry best practices Experience in TLF (Tables, Listings, and Figures) programming Understanding of validation principles within a GxP environment Experience with Medical Data Review and Pharmacovigilance Experience with version control systems such as Git Familiarity with the end-to-end drug development lifecycle and clinical trial workflows Experience in requirements gathering and backlog management Master’s degree in bioinformatics or a related discipline (e.g., computer science, data science, biostatistics, mathematics) or equivalent work experience You have a valid passport (when you're based outside of Poland) or ID (if you're based in Poland). Must be located in EMEA or LATAM. Additionally, we'd appreciate if you have: Experience in building web applications or websites using R/Shiny Experience in designing and maintaining reproducible data processing pipelines (i.e., Nextflow) Understanding of fundamental concepts in molecular biology and bioinformatics Experience in using bioinformatics tools and databases (i.e., Bioconductor, BLAST, NCBI, EMBL, PDB, PubMed) Experience in creating and maintaining R packages Experience in collaboration with scientists and clinical researchers What’s in it for you: Fully remote work across Europe, Poland, or LATAM, with flexible working hours that support focus, deep work, and work–life balance. Meaningful projects in life sciences - from drug discovery to clinical trials - where your R and Shiny solutions directly support scientific and clinical decisions. A hands-on engineering role with real ownership, allowing you to design, build, and evolve data-driven applications used by researchers and scientists worldwide. Collaboration with experienced data scientists, bioinformaticians, and engineers in a knowledge-driven, supportive environment. Competitive B2B com