Summary
Manish Kumar is a senior bioinformatics software engineer and computational scientist with ~18 years of programming experience and a decade of focused industry/academic work delivering production-ready, reproducible multi-omics pipelines. He designs and deploys end-to-end workflows for single-cell RNA-seq, exome variant analysis, and proteomics using Python, R, Nextflow/Cromwell, Docker, and CI/CD, and has integrated pipelines with clinical LIMS and cloud platforms for translational projects. His work spans high-performance sequence aligners and national genome browsers to clinical-grade variant prioritization using ML, SKAT-O, and burden testing, contributing to publications and translational insight. Based in Kansas City, he pairs deep bioinformatics domain knowledge with full-stack engineering skills (C++, Perl, JavaScript, SQL) and a recent MS in Data Science, making him adept at turning complex biological questions into auditable, scalable analytics. An oft-overlooked strength is his track record of shipping both research notebooks for rapid discovery and hardened CI/CD pipelines for clinical reproducibility.
10 years of coding experience
14 years of employment as a software developer
University of Delhi
Master of Science - MS, Data Science, Master of Science - MS, Data Science at Eastern University
M.Sc, Bioinformatics, M.Sc, Bioinformatics at Jamia Millia Islamia