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Hire Dr. Premkumar T.

India

USD 50 /hr

Computational Biologist | Bioinformatics Scientist | AI & Machine Learning for Life Sciences

Profile Summary

I am a Computational Biologist and Senior Bioinformatics Scientist with a Ph.D. in Computational Biology and expertise in bioinformatics, machine learning, AI, and large-scale biological data analysis. I specialize in developing computational pipelines, analyzing multi-omics and sequencing datasets, and applying AI-driven approaches to solve complex biological problems. My experience spans transcriptomics, RNA-seq, protein sequence and structure analysis, biomarker discovery, systems biology, and computer-aided drug discovery. I have developed scalable Python- and R-based workflows for biological data processing, ETL automation, and predictive modeling using machine learning and large language models (LLMs). I am also experienced with Linux, high-performance computing (HPC), molecular docking, molecular dynamics simulations, and reproducible computational research. I can help with: * Bioinformatics pipeline development and workflow automation * RNA-seq, transcriptomics, and multi-omics data analysis * Machine learning and AI for biological data * Protein sequence, structure, and functional analysis * Biomarker discovery and systems biology * Molecular docking and computational drug discovery * Python, R, Bash scripting, and HPC workflows * Scientific data visualization and reproducible research * Manuscript preparation and scientific consulting I am passionate about transforming complex biological data into meaningful insights and delivering robust, reproducible, and high-quality computational solutions for academic, biotech, and pharmaceutical research.

Subject Matter Expertise

• ☆ Computational Biology
• ☆ Biostatistics
• ☆ Molecular Biology
• ☆ Biomarkers
• ☆ Genetics
• ☆ Microarrays
• ☆ Epigenetics
• ☆ Next Generation Sequencing (NGS)
• ☆ Protein Sequencing
• ☆ Gene Expression Analysis
• ☆ Biophysics
• ☆ Bioinformatics
• ☆ Gene & Protein Expression Analysis
• ☆ Systems Biology
• ☆ Structural Bioinformatics

Services

• Writing
• Research
• Consulting
• Data & AI

Writing Technical Writing

Research Meta-Research, Gray Literature Search, Scientific and Technical Research

Consulting Scientific and Technical Consulting

Data & AI Predictive Modeling, Algorithm Design-ML, Big Data Analytics

Work Experience

Senior Bioinformatician

American Chemical Society (ACS)

June 2025 - Present

Education

PhD

Vellore Institute of Technology

March 2021 - November 2025

Certifications

• Completed AWS Cloud Fundamentals Training

  udemy

  January 2026 - Present

Publications

JOURNAL ARTICLE

Prasanna Srinivasan Ramalingam, Md Sadique Hussain, Gayathri Chellasamy, Sujatha Elangovan, Divya Sharma, Premkumar T, Rudra Awdhesh Kumar Mishra, Gothandam Kodiveri Muthukaliannan, Tajamul Hussain, Salman Alrokayan, et al. (2025). Repurposing DPP-4 inhibitors as anticancer agents in KRAS-mutated pancreatic ductal adenocarcinoma . BMC Pharmacology and Toxicology.

T. Premkumar, S. Sajitha Lulu (2025). Targeting key players in Alzheimer’s disease: bioactive compounds from Moringa oleifera , Desmodium gangeticum , and Centella asiatica as potential therapeutics . Journal of Biomolecular Structure and Dynamics.

Premkumar T., Bhavana Katta, Sajitha Lulu S., Vino Sundararajan (2024). Gene expression analysis reveals GRIN1, SYT1, and SYN2 as significant therapeutic targets and drug repurposing reveals lorazepam and lorediplon as potent inhibitors to manage Alzheimer’s disease . Journal of Biomolecular Structure and Dynamics.

Prasanna Srinivasan Ramalingam, T. Premkumar, Vino Sundararajan, Md Sadique Hussain, Sivakumar Arumugam (2024). Design and development of dual targeting CAR protein for the development of CAR T-cell therapy against KRAS mutated pancreatic ductal adenocarcinoma using computational approaches . Discover Oncology.

T, P., Katta, B., Lulu S, S., Sundararajan, V.(2023). Gene expression analysis reveals GRIN1, SYT1, and SYN2 as significant therapeutic targets and drug repurposing reveals lorazepam and lorediplon as potent inhibitors to manage Alzheimer’s disease . Journal of Biomolecular Structure and Dynamics.