Hi, I am Vinod,
Bioinformatician.

A skilled in molecular modeling and NGS data analysis. I am passionate about integrating AI-ML pipelines and developing bioinformatics workflows to support impactful research in drug discovery and genomic.

02+

Years
Experience

30+

Projects
Completed

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About Me

Who am I

I'm a Dedicated and Experienced Bioinformatician

with a broad foundation based in data analysis and computational biology, my work and expertise lie within the design and implementation of specific workflows tailored to complex biological datasets, but with a great emphasis placed on RNA-seq analysis and its applications within functional genomics. I have also demonstrated a strong aptitude for optimizing data analysis pipelines toward drug discovery and development projects-ensuring the actionable insights and outcomes that will trigger high-impact results. I am driven by a commitment to excellence and continually strive for opportunities to improve my technical skills, always keeping pace with emerging advances in bioinformatics and computational biology.

Technologies I've been working with:

Data Analysis & Bioinformatics

  • R
  • Python
  • NGS Analysis

Machine Learning & Cheminformatics

  • QSAR Analysis
  • Molecular Docking
  • Molecular Dynamics

Qualification

Experience & Education

Professional Experience

Research Associate

Growdea Technologies | Apr 2024 - Dec 2024

Designed and implemented bioinformatics and AI/ML workflows while collaborating on enhancing RNA-seq analysis pipelines and advancing molecular modeling techniques.

Bioinformatician

Growdea Technologies | Apr 2023 - Mar 2024

Conducted molecular docking, dynamics, QSAR, and RNAseq analysis to support drug discovery.

Project Intern

Indian Institute of Science | Jan 2022 - Jun 2022

Performed RNA-seq analysis to identify drug targets and gained hands-on experience in NGS data analysis.

Education

Master of Science in Bioinformatics

Bharathiar University, Coimbatore

2020 - 2022

Bachelor of Science in Biotechnology

Mohanlal Sukhadia University, Udaipur

2017 - 2020

Diploma in Astrobiology

Indian Astrobiology Research Foundation

2019

Publications

Research & Contributions

Machine Learning Optimization Approach to Design Multi-Epitope Marburg Vaccine Construct

Suyash S, Khan W. H, Maitra P, Jangid V, Punia P, Mishra A.

Biotech Res Asia, 2024; 21(4).

Computational Analysis to Identify Novel Drug Targets for Esophageal Cancer

Jangid V, C. N. Rahul, R. Aarthi, K. Sekar.

Medinformatics, 2024.

Projects

My recent work
Small Molecules Screening

Small Molecules Screening

A detailed workflow for small molecules screening, showcasing the integration of QSAR analysis, docking studies, and molecular dynamics simulations.

Small Molecules Screening

QSAR Analysis

Explore a comprehensive QSAR (Quantitative Structure-Activity Relationship) workflow, designed to predict and optimize molecular activity with precision.

Thermal Stabilization Analysis

Thermal Stabilization Analysis

Comprehensive analysis of thermal stability for enzymes using Temperature-Targeted Molecular Dynamics, identifying hotspots and optimizing protein flexibility under varying conditions.

Let's Collaborate on Your Next Project

Feel free to reach out if you're interested in discussing a project or collaboration. Whether you have a specific project in mind or just want to chat, I'm here to help.