Summary
Saad Khan is a bioinformatics specialist with 12 years of experience applying computational genomics to cancer and plant biology, currently analyzing single-cell, spatial and whole-exome data for meningiomas and glioblastomas at Massachusetts General Hospital. He has a strong track record building reproducible pipelines and visualization tools—RShiny apps, automated RNA-seq workflows, and cloud-enabled genome analysis—developed across academic and industry roles. Saad’s prior work includes curating a multi-tissue T-cell atlas and deploying deep learning for RNA modification prediction, reflecting a blend of systems-level pipeline engineering and method development. Comfortable in Perl, R and high-performance computing environments, he repeatedly bridges research questions to production-ready analyses. Based in Boston, he brings both bench-to-bioinformatics experience and a history of shipped tools that improve data access and interpretation for clinical and research teams.
12 years of coding experience
11 years of employment as a software developer