We’re looking for a Bioinformatician to join a cross-functional data team dedicated to powering AI-driven oncology solutions. You will design and implement scalable pipelines to integrate and analyse high-dimensional public datasets and work closely with data scientists to power predictive models of drug response.

• Curate and optimize diverse large-scale datasets, including genomic, transcriptomic, and proteomic data.
• Design, implement, and maintain end-to-end, scalable pipelines for data extraction, normalization, validation, and quality control.
• Integrate multi-modal data (including omics, networks, and textual) into reproducible data processing and analysis frameworks to feed downstream AI models.
• Lead cross-functional collaboration with clinicians, data scientists, and software engineers to define data requirements, ensure completeness, and guide interpretation.
• Oversee the preparation and documentation of structured datasets tailored for advanced analytical and AI-driven applications.

• PhD in Bioinformatics, Computational Biology, or related field.
• 8+ years of experience in working with clinical omics data (including genomics, transcriptomics, and proteomics).
• Solid understanding of biological data standards and ontologies.
• Expert proficiency in Python/R and bioinformatics tools.
• Exceptional analytical, organizational, and problem-solving skills.
• Experience with processing large-scale omics data in cloud or HPC environments - advantage.
• Hands-on familiarity with AI/ML frameworks - advantage.