R DEVELOPER WITH LIFE SCIENCE BACKGROUND

Accountabilities: • Design, develop, and maintain high-quality R and Shiny applications supporting biological and clinical data analysis workflows. • Process, analyze, and visualize complex life science datasets, ensuring accuracy, reproducibility, and usability of outputs. • Build and maintain reusable R packages and data processing components to support scalable analytics solutions. • Collaborate with scientists, bioinformaticians, and stakeholders to gather requirements and translate them into technical solutions. • Develop and optimize interactive data visualization tools to support research and clinical decision-making. • Work with version control systems such as Git to manage collaborative development and code quality. • Contribute to system design discussions, backlog refinement, and continuous improvement of development practices. • Support deployment and maintenance of production-grade data applications in cloud or distributed environments. Requirements: • Strong proficiency in R programming with hands-on experience in production environments. • Experience working with biological, clinical, or life science data, including data processing, analysis, and visualization. • Proven experience building web applications using R Shiny or JavaScript. • Experience creating, maintaining, and documenting R packages. • Strong understanding of Git and collaborative software development workflows. • Master’s degree in Bioinformatics, Data Science, Computer Science, Biostatistics, Mathematics, or related field (or equivalent experience). • Solid understanding of life science concepts such as molecular biology, genomics, or clinical research is highly desirable. • Ability to translate complex scientific requirements into scalable technical solutions. • Strong communication and collaboration skills, especially when working with scientific stakeholders. • Experience with reproducible pipelines, databases, or cloud platforms is a plus. Benefits: • Fully remote role with flexible working hours supporting deep work and work-life balance. • Competitive compensation aligned with experience and expertise in R and life sciences. • Opportunity to work on meaningful projects in drug discovery, clinical trials, and biomedical research. • Collaboration with world-class scientists, bioinformaticians, and data engineers. • Time and budget allocated for continuous learning, conferences, and professional development. • Strong culture of autonomy, ownership, and engineering excellence. • Opportunity to contribute to impactful tools used by global research organizations. 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. We appreciate your interest and wish you the best!  Why Apply Through Jobgether?    Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.     #LI-CL1