Summary
Sarath Murugan is a bioinformatician with over eight years of experience building and operationalizing clinical genomics and multi-omics pipelines for cancer research, primarily at Karolinska Institutet and SciLifeLab. He specializes in reproducible workflow engineering with Snakemake and Nextflow, containerized HPC deployments, and CI-driven validation of variant-calling pipelines, having contributed to tools like BALSAMIC and a WES fusion detector published in Frontiers in Genetics. Skilled in Python, R, and ML frameworks (TensorFlow, PyTorch), he applies AI to streamline genomic analyses and extract clinically actionable insights for precision oncology trials. Beyond coding, he has led HPC administration and Slurm orchestration to keep production environments reliable under heavy clinical workloads. Colleagues rely on him to bridge method development, software engineering, and translational research—often turning complex sequencing data into validated, deployable workflows.
8 years of coding experience
5 years of employment as a software developer