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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 compensation aligned with your experience and career level, with a transparent salary and growth framework.
Time and budget for continuous professional development, including conferences, workshops, and continuous learning.
Opportunity to grow as an independent R (R/Shiny) expert within a strong data science and open-source community.
A remote-first, trust-based culture built on partnership, autonomy, and continuous improvement that values quality, ownership, and thoughtful problem-solving.
Important note: To complete the hiring process, you need to have a valid government-issued ID (for Polish citizens) or a valid passport (for non-Polish citizens).
What can you expect during the recruitment process?
General interview with the People Team Home assignment
Tech Interview
Hiring Manager Interview (Head of Technology).
Does this sound like a great opportunity for you?
Use the Apply button below!
Appsilon is committed to being a diverse and inclusive workplace. We encourage applicants of different backgrounds, cultures, genders, experiences, abilities, and perspectives to apply. All qualified applicants will receive consideration for employment without regard to race, color, national origin, religion, sexual orientation, gender, gender identity, age, physical disability, or length of time spent unemployed.