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.
Portfolio
Experience
- Computational Biology - 10 years
- Sequence Analysis - 10 years
- Shell Scripting - 8 years
- Genetics - 8 years
- R - 6 years
- Data Visualization - 4 years
- Genomics - 4 years
- Variants Calling - 2 years
Availability
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
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.
Post-doctoral Fellow
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.
Scientist in Bioinformatics
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.
Trainee Bioinformatics Analyst
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.
Project Fellow
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.
Experience
Pharmacogenomics Pipeline for Clinical Genome Testing
Education
PhD in Comparative Genomics and Transcriptomics
State University of Northern Rio de Janeiro (UENF) - Compos Dos Goytacazes, Rio de Janeiro, Brazil
Master's Degree in Bioinformatics
Jamia Millia Islamia - New Delhi, India
Bachelor's Degree in Bioinformatics
Jaipur National University - Jaipur, Rajasthan, India
Certifications
Python A-Z: Python For Data Science With Real Exercises
Udemy
R Programming A-Z: R For Data Science With Real Exercises
Udemy
Introduction to Python
DataCamp
Machine Learning
Coursera
Skills
Languages
R, Perl, Python
Platforms
Windows, Docker, Ubuntu, Linux
Industry Expertise
Bioinformatics
Other
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, Shell Scripting, Homology, Data Analysis, Data Manipulation, Data Cleaning, Repeat Masking, Quality Control (QC), Data Handling, Data Science, 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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