Rajesh Kumar Gazara, Developer in Hyderabad, Telangana, India
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Rajesh Kumar Gazara

Verified Expert  in Engineering

Bioinformatics Developer

Hyderabad, Telangana, India
Toptal Member Since
July 25, 2023

Rajesh is an experienced professional with substantial expertise in multiple RNA and DNA sequencing analysis software and pipelines. He has completed his PhD in bioscience and biotechnology, focusing on comparative genomics and transcriptomics, and has several related publications in reputed scientific journals. He worked in several R&D roles in the industry, focusing on bioinformatics data analysis, regression analysis, predictive modeling, and machine learning in metagenomics.


Centre for Brain Research
Genetics, GATK, Imputation, SNPs, Unix Shell Scripting, R, Data Visualization...
Indian Institute of Technology Roorkee
Unix Shell Scripting, R, Computational Biology, Research, Data Visualization...
Nucleome Informatics Pvt
Linux, R, Genetics, Functional Annotation of Genes, Transcriptome Assembly...




Preferred Environment

Linux, Windows

The most amazing...

...project I've developed using different computation tools is a pharmacogenomics pipeline for clinical genome testing.

Work Experience

Post-doctoral Fellow

2021 - 2021
Centre for Brain Research
  • Prepared a merge reference panel for genotype imputation to fill millions of missing genotypes.
  • Created a variant calling pipeline to analyze the variants identified for SARS-CoV-2 from 754 infected patients.
  • Performed computational quality control procedures on genome-wide association study (GWAS) data.
Technologies: Genetics, GATK, Imputation, SNPs, Unix Shell Scripting, R, Data Visualization, Data Analysis, Data Cleaning, Variants Calling, Genomics, HPCC Systems

Post-doctoral Fellow

2020 - 2021
Indian Institute of Technology Roorkee
  • Identified the genes for feather keratin degradation by performing the whole genome sequence analysis.
  • Submitted genome sequencing data to a database named NCBI.
  • Worked on clinical data related to patients suffering from left ventricular systolic dysfunction. This research was later published in the IEEE Access journal.
Technologies: Unix Shell Scripting, R, Computational Biology, Research, Data Visualization, Sequence Analysis

Scientist in Bioinformatics

2019 - 2019
Nucleome Informatics Pvt
  • Identified the number of genes and did functional annotation of predicted genes in the great Indian bustard genome using the homology-based and "ab initio" methods.
  • Performed comparative transcriptomic data analysis between Piriformospora indica treated and untreated rice roots, comparing them under control and salt stress conditions.
  • Handled client interactions, explaining project demands, including bioinformatics workflows and tools and software needed according to project aims.
Technologies: Linux, R, Genetics, Functional Annotation of Genes, Transcriptome Assembly, Genomics, HPCC Systems

Trainee Bioinformatics Analyst

2014 - 2014
NXGen Bio Lifescience
  • Created a pipeline for small RNA sequencing data generated from high-throughput sequencing.
  • Identified differentially expressed small RNAs by comparing expression profiles of identified genes in two different conditions.
  • Interacted with clients to fulfill project demands.
Technologies: MicroRNA Data Analysis, sRNA Workbench

Project Fellow

2013 - 2014
National Institute of Plant Genome Research
  • Analyzed the whole genome for chickpea's blight fungus.
  • Performed comparative structural modeling of six old yellow enzymes from the "ascochyta rabiei" necrotrophic fungus.
  • Conducted computational secretome analysis of fungal phytopathogens.
Technologies: Linux Shell Scripting, Computational Biology, Homology, Docker, Email Blasts, Genetics, Repeat Masking, Data Visualization, Functional Annotation of Genes, Secretome Analysis, Genomics

Pharmacogenomics Pipeline for Clinical Genome Testing

I developed a pharmacogenomics pipeline using several computational tools. This pipeline can process the DNA on a genotyping chip that reads hundreds of thousands of locations in the human genome. The genetic data is then analyzed, rendering personalized HTML reports based on well-established scientific and medical research.
2015 - 2019

PhD in Comparative Genomics and Transcriptomics

State University of Northern Rio de Janeiro (UENF) - Compos Dos Goytacazes, Rio de Janeiro, Brazil

2011 - 2013

Master's Degree in Bioinformatics

Jamia Millia Islamia - New Delhi, India

2008 - 2011

Bachelor's Degree in Bioinformatics

Jaipur National University - Jaipur, Rajasthan, India


Python A-Z: Python For Data Science With Real Exercises



R Programming A-Z: R For Data Science With Real Exercises



Introduction to Python



Machine Learning



Data Science


R, Perl, Python

Industry Expertise



Windows, Docker, Ubuntu, Linux


Genetics, Email Blasts, Motif Identification, Sequence Analysis, Transcriptome Assembly, Unix Shell Scripting, Data Visualization, GATK, Imputation, SNPs, MicroRNA Data Analysis, Variants Calling, Genomics, Computational Biology, Research, Linux Shell Scripting, Homology, Data Analysis, Data Manipulation, Data Cleaning, Repeat Masking, Quality Control (QC), Data Handling, Machine Learning, Functional Annotation of Genes, sRNA Workbench, Secretome Analysis, Phylogenetic Analysis, Gut Metagenomics, Genotype Data, 16S Amplicon Sequencing, HPCC Systems

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