Jeevan V S
Advanced Biotechnology and Bioinformatics professional
Bengaluru, Bengaluru UrbanMember since December 23, 2025
DockerPythonMachine LearningSingle-Cell RNA-SeqSpatial TranscriptomicsNGS Variant CallingGATKMutech2Differential Gene ExpressionDESeq2In-vivo animal handling and assaysHISAT2STARclusterProfilerSTRINGcBioPortal
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About
Advanced Biotechnology and Bioinformatics professional with a unique blend of AI/ML expertise, robust computational skills (R, Python, single-cell RNA-Seq), and hands-on wet-lab experience, including animal handling. Seeking to drive collaborative, data-driven translational research in developmental and disease biology.
Experience
Genomic Data Analyst - Biodesign Innovation Labs - Bengaluru
(2025-02)
- NGS Variant Calling & Clinical Annotation: Developed automated workflows for whole-exome (WES) and whole-genome (WGS) sequencing data to identify SNVs, Indels, and structural variants; integrated GATK, Mutech2 Best Practices with clinical databases (ClinVar, COSMIC, Ensembl VEP) for prioritizing actionable therapeutic targets.
- Single-Cell & Spatial Transcriptomics: Developed automated pipelines for quality control, normalization, clustering, and cell-type annotation of 10x Genomics datasets. Analyzed tissue sections using spatial gene expression mapping and functional enrichment (GO/KEGG) to interpret tumor heterogeneity.
- Differential Gene Expression & Pipeline Automation: Designed automated RNA-seq workflows (HISAT2, STAR, DESeq2) to integrate transcriptomic data with clinical metadata for translational research.
- AI-Driven Multi-Omics & Drug Response Pipelines: Built machine learning and deep learning models for pharmacogenomic data analysis and drug sensitivity modeling with ~93% accuracy.
- De-Novo Drug Design & Virtual Screening: Developed an AI-driven pipeline for generating, optimizing, and screening novel small molecules against cancer-associated targets. Integrated chem-informatics, deep learning, and structure-based drug design workflows for ligand generation, molecular docking, and binding affinity prediction. Conducted protein–ligand interaction visualization, ADMET profiling, and molecular dynamics simulations, automating the complete workflow using Python and containerize
Education
Advanced Diploma - Bioinformatics - Clini Launch Research Institute (2024)
MSc - Biotechnology - East West First Grade College of Science (2022 - 2024)
BSc - Biotechnology, Chemistry, Botany - KLE Society's S Nijalingappa College (2019 - 2022)

