R Developer with Bio Background

Accountabilities
Develop and maintain R-based solutions for statistical programming, data analysis, visualization, and scientific workflows supporting life science and healthcare projects. Build interactive applications and data tools using R/Shiny to help researchers and clinical teams explore, interpret, and act on complex datasets. Design, implement, and maintain reproducible data processing pipelines while following software engineering and quality standards. Work with clinical, scientific, and technical stakeholders to gather requirements, manage priorities, and translate business needs into effective technical solutions. Apply knowledge of clinical trial processes, bioinformatics workflows, and regulated environments to deliver reliable and compliant data solutions. Support the development and maintenance of reusable R packages, tools, and frameworks that improve scalability and efficiency. Collaborate with multidisciplinary teams to solve complex data challenges across areas such as drug development, clinical research, and biological analysis. Requirements Strong proficiency in R programming for statistical analysis, data manipulation, visualization, and application development. Experience working with life sciences, bioinformatics, biostatistics, or related scientific domains. Knowledge of CDISC standards including SDTM, ADaM, and SEND, along with familiarity with industry best practices. Experience with TLF programming (Tables, Listings, and Figures) and understanding of clinical data reporting processes. Knowledge of validation principles and working practices within GxP-regulated environments. Experience with Medical Data Review, Pharmacovigilance, and clinical trial workflows. Familiarity with Git or other version control systems and modern software development practices. Experience gathering requirements, managing backlogs, and collaborating with cross-functional teams. Master’s degree in bioinformatics, computer science, data science, biostatistics, mathematics, or equivalent professional experience. Additional experience with R/Shiny applications, Nextflow pipelines, bioinformatics tools and databases, molecular biology concepts, Bioconductor, BLAST, NCBI, EMBL, PDB, PubMed, or R package development is considered an advantage. Ability to work effectively in a remote international environment and communicate clearly in English. Benefits Fully remote work opportunity across Europe, Poland, or LATAM with flexible working hours. Meaningful projects supporting drug discovery, clinical trials, and scientific decision-making. High level of technical ownership with opportunities to design and evolve impactful data applications. Collaboration with experienced engineers, data scientists, bioinformaticians, and life science professionals. Competitive B2B compensation aligned with experience and career level. Professional development support through learning opportunities, conferences, workshops, and continuous growth initiatives. Remote-first culture built on trust, autonomy, collaboration, and thoughtful problem-solving. Opportunity to contribute to open-source projects and grow as an R and R/Shiny specialist.

How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
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