
R Developer – Bio Background
Posted Aug 5

Posted Aug 5
This is a fully remote position, open to applicants in Poland.
• Collaborate with bio and life science organizations to address intricate challenges using data.
• Create R and Shiny solutions that facilitate scientific and clinical decision-making.
• Design, construct, and enhance data-centric applications utilized by researchers and scientists.
• Engage in projects that encompass drug discovery and clinical trials.
• Work alongside data scientists, bioinformaticians, engineers, scientists, and clinical researchers.
• Collect requirements and oversee backlogs.
• Take part in the complete development and delivery cycle of applications.
• Complete a home assignment and participate in interviews with the People Team, Technical Interview panel, and Head of Technology.
• Proficient in R for statistical programming, data manipulation, and visualization.
• Familiar with CDISC standards, including SDTM, ADaM, and SEND.
• Experience in TLF programming.
• Knowledge of validation principles within a GxP environment.
• Experience in Medical Data Review and Pharmacovigilance.
• Familiarity with version control systems such as Git.
• Understanding of the drug development lifecycle and clinical trial processes.
• Experience in requirements gathering and backlog management.
• Master's degree in bioinformatics or a related field, or equivalent professional experience.
• Valid passport if located outside Poland, or a valid ID if based in Poland.
• Must reside in EMEA or LATAM.
• Experience with R/Shiny web applications or websites is a plus.
• Familiarity with reproducible data processing pipelines like Nextflow is a plus.
• Understanding of molecular biology and bioinformatics fundamentals is a plus.
• Experience with bioinformatics tools and databases such as Bioconductor, BLAST, NCBI, EMBL, PDB, and PubMed is a plus.
• Experience in creating and maintaining R packages is a plus.
• Experience collaborating with scientists and clinical researchers is a plus.
• Fully remote work across Europe, Poland, or LATAM.
• Flexible working hours that support focus, deep work, and work–life balance.
• Engaging life sciences projects.
• Genuine ownership over data-driven applications.
• Collaboration with seasoned data scientists, bioinformaticians, and engineers.
• Competitive B2B compensation that reflects experience and career level.
• Transparent salary and growth framework.
• Budget and time allocated for continuous professional development, including conferences, workshops, and ongoing learning opportunities.
• Chance to develop as an independent R (R/Shiny) expert.
• Remote-first, trust-based culture founded on partnership, autonomy, and continual improvement.
• A diverse and inclusive workplace.
Rich Products Australia
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DaCodes.
DaCodes.
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