Mayank Tandon
Bioinformatics Scientist
Washington DC-Baltimore Area United States
Summary
👤
Senior🎓
Top SchoolMayank Tandon is a bioinformatics scientist with a decade of experience applying RNA-seq, CRISPR screen analysis, and multi-omic integration to genetics-driven target identification and cancer research. He has led and standardized analysis teams at Leidos and supported Target ID/Validation at Variant Bio, combining scalable pipeline development for HPC/AWS with hands-on data curation from public repositories. His work spans bulk and single-cell transcriptomics, metabolomics, and automated literature synthesis, enabling translational insights for drug discovery and NCI projects. Mayank pairs a PhD in Genetics and bench-side NGS experience with supervisory experience managing PhD-level bioinformaticians, giving him uncommon fluency across experiment design, wet lab QC, and production bioinformatics. Now at Axle, he continues to bridge research and R&D priorities, turning complex genomics datasets into actionable hypotheses. An often-overlooked strength is his history of building custom, reproducible pipelines that accelerated analyses from months to production-ready workflows.
10 years of coding experience
4 years of employment as a software developer
Ph.D., Genetics, Ph.D., Genetics at Thomas Jefferson UniversityBachelor of Science, Biomedical Engineering, Bachelor of Science, Biomedical Engineering at University of Virginia
Github Skills (40)
rna-seq10
summarize9
chip-seq9
bioinformatics9
maf9
scalable8
r-package8
gene-expression7
fasta6
genomics6
pypi6
bioconda6
pipeline6
mutation5
fastq5
Programming languages (3)
Github contributions (5)
mtandon09/mafwiz
Jan 2020 - Mar 2022
MAF analysis tool
Contributions:37 commits, 4 PRs, 34 pushes in 2 years 2 months
static-analyzersource-code-analysisanalysismaf
mtandon09/mt_helpers
Feb 2021 - May 2022
Contributions:28 pushes, 2 branches in 1 year 2 months
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