The successful candidate will collaborate with faculty, clinicians, trainees, and research staff; contribute to manuscripts, grant applications, presentations, and reports; and help ensure that computational workflows are rigorous, transparent, scalable, and reusable across collaborative research programs. The goal is to strengthen collaborative cancer research through advanced spatial multi-omics analysis, scalable data systems, reproducible computational pipelines, AI-enabled research workflows, and cloud-based biomedical data infrastructure.