R Developer with Life Science Background

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a R Developer with Life Science Background based in South Africa.

This role sits at the intersection of software engineering, data science, and life sciences, focusing on building advanced R-based applications that support critical research in areas such as drug discovery, clinical trials, and biomedical analytics. You will work closely with scientists, bioinformaticians, and data engineers to transform complex biological datasets into interactive, production-grade tools that support real-world scientific and clinical decision-making. The environment is highly collaborative and research-driven, combining strong engineering practices with domain expertise in bioinformatics and biostatistics. You will design and develop scalable Shiny applications and reusable R packages used by global research teams. The role offers deep ownership across the full lifecycle of data-driven applications. It is ideal for someone passionate about both coding and advancing life sciences through technology.

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a R Developer with Life Science Background based in South Africa.

This role sits at the intersection of software engineering, data science, and life sciences, focusing on building advanced R-based applications that support critical research in areas such as drug discovery, clinical trials, and biomedical analytics. You will work closely with scientists, bioinformaticians, and data engineers to transform complex biological datasets into interactive, production-grade tools that support real-world scientific and clinical decision-making. The environment is highly collaborative and research-driven, combining strong engineering practices with domain expertise in bioinformatics and biostatistics. You will design and develop scalable Shiny applications and reusable R packages used by global research teams. The role offers deep ownership across the full lifecycle of data-driven applications. It is ideal for someone passionate about both coding and advancing life sciences through technology.

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!

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