Rajat Roy is a senior staff bioinformatics scientist with nearly a decade of experience building clinical-grade, high-performance variant annotation tools at Illumina. He specializes in sequence analysis algorithms and has repeatedly translated them into scalable, serverless services and REST APIs on AWS with zero-downtime deployment pipelines. A strong advocate of software engineering best practices, he brings expertise in .NET, unit testing, and automated scalability and endurance testing for large genomic datasets. His work includes creating supplementary annotation capabilities that integrate dbSNP, 1000Genomes, ExAC, COSMIC, and ClinVar to enhance clinical reporting. Based in San Diego, he combines PhD-level research training from Rutgers with practical production engineering, uniquely bridging academic rigor and enterprise-grade delivery. Beyond core development, he focuses on automating baseline generation and maintenance for variant annotation to streamline long-term clinical operations.
9 years of coding experience
11 years of employment as a software developer
Bachelor of Science (BSc), Computer Science, Bachelor of Science (BSc), Computer Science at Bangladesh University of Engineering and Technology
Doctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at Rutgers University
Contributions:4 PRs, 108 pushes, 15 branches in 1 year 10 months
application-library
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