• Lead and deliver the translation of complex biological and clinical questions into actionable analysis plans. • Architect and implement robust data pipelines that integrate large-scale genomic, phenotypic, laboratory, and real-world clinical datasets. • Conduct repeatable data analysis and modeling with a high degree of scientific and statistical rigor, for complex tasks such as understanding patient trajectories, elucidating variant effect, and identifying genotype-phenotype associations. • Write clean, maintainable, and well-documented code following best practices for version control, testing, and scalability. • Prepare technical reports, peer-reviewed publications, and conference presentations to share research outcomes with internal stakeholders and the broader scientific community. • Collaborate closely with both internal and external stakeholders to drive impactful research and development initiatives. • Ensure high standards of data privacy, security, and compliance are maintained in all projects.