Karthik H R

About

Bioinformatics professional with hands-on experience in workflow development, NGS analysis, multi-omics, and computational biology. Currently working as a Lead Bioinformatics Scientist intern, contributing to reproducible pipelines, biomarker discovery, and cloud-based bioinformatics workflows.

Experience

• Lead Bioinformatics Scientist – Multi-omic (Intern)
  Immortigen
  Dec 2025 – Present

Education

• MSc Bioinformatics
  Garden City University
  Bioinformatics · 2024 – 2026
• BSc Biotechnology, Genetics & Biochemistry
  Seshadripuram First Grade College
  Biotechnology, Genetics & Biochemistry · 2019 – 2022

Skills

• Python <3 months
• scikit-learn <3 months
• PyTorch <3 months
• TensorFlow <3 months
• Bash <3 months
• Random Forest <3 months
• R <3 months
• XGBoost <3 months
• Variant Calling <3 months
• Gatk <3 months
• Deseq2 <3 months
• Bwa <3 months

Tools / apps / platforms

• Docker <3 months
• ENSEMBL <3 months
• FastQC <3 months
• Git <3 months
• GitHub <3 months
• Google Cloud Platform <3 months
• Linux <3 months
• MultiQC <3 months
• Samtools <3 months
• UniProt <3 months

Projects

• Organ Age Prediction using Blood-Based Multi-omics Biomarkers ↗
  Python, R, Nextflow DSL2, GCP, Scikit-learn, XGBoost

  Developed a computational framework integrating blood-derived biomarkers and machine learning for organ-age prediction. Performed biomarker prioritisation and biological interpretation.

• RNA-seq Differential Expression Analysis – Alzheimer's Disease ↗
  HISAT2, featureCounts, DESeq2, R

  Developed an end-to-end RNA-seq workflow including QC, alignment, quantification, differential expression and pathway enrichment.

• Whole Exome Sequencing Pipeline ↗
  GATK, BWA, SAMtools, VEP

  Implemented a GATK best-practice variant-calling workflow and interpreted clinically relevant variants.

• ChIP-seq Peak Calling and Epigenomic Analysis ↗
  MACS3, ChIPseeker, IGV

  Built a reproducible ChIP-seq workflow for peak calling and regulatory annotation.

Courses & certifications

• Algorithms for DNA Sequencing · Coursera
• Bioinformatics Methods II · Coursera
• Data Visualization with R · Coursera
• Programming in Python · Coursera

🏆 Achievements & awards

• Developed multiple end-to-end NGS analysis pipelines

  Built and supported several reproducible NGS analysis workflows.

• Hands-on experience supporting cloud-based bioinformatics workflows using GCP

  Worked on cloud-based execution and maintenance of bioinformatics workflows.

• Applied computational approaches to biomarker discovery and organ-age prediction research

  Contributed to biomarker discovery and organ-age prediction analysis.

• Built reproducible workflows using Nextflow DSL2 and modern bioinformatics tools

  Developed reproducible analysis pipelines with modern workflow tooling.