Rahul Selvaraj

I’m a Bioinformatics Analyst with 5+ years delivering scalable genomics analytics and regulatory-grade computational workflows across oncology and immunology programs. I design end-to-end RNA-Seq and whole-exome sequencing pipelines, supporting IND and NDA submission documentation through rigorous, traceable methods.

I architect and optimize HPC and AWS-based parallel processing frameworks to improve analytical turnaround time and computational efficiency for regulated GxP environments. Using Python and R, I build reproducible pipelines for quality control, alignment, variant calling, and functional annotation, ensuring data integrity and audit readiness.

I strengthen biomarker discovery and patient stratification by applying survival modeling, multivariate regression, and pathway enrichment analyses across terabyte-scale, multi-omics datasets. I also leverage version-controlled, containerized, fully traceable workflows aligned with GLP standards to help teams produce statistically defensible, submission-ready results.