ASCEND BY NTHRYS
Research Abroad Products

Biotechnology Internship Topics

Browse all focused areas across all internship categories under this field.

Biotechnology Internships with Accommodation

Choose an internship topic, then explore accommodation-enabled internship options at active NTHRYS branch locations in India.

Showing 1–12 of 111 internship topics
Machine Learning Model Development for Protein Structure Prediction
Interns will develop and optimize deep learning models to predict protein 3D structures from amino acid sequences using frameworks like AlphaFold2. They will work with large-scale datasets, implement neural network architectures, and validate predictions against experimental structures.
AI Next-Generation Biotech Platform ResearchView internship →
Mitochondrial-Targeted Antioxidants
Mitochondrial-Targeted Antioxidants (MTAs) are a precision class of compounds designed to neutralize reactive oxygen species (ROS) at their primary source: the mitochondria. Unlike standard antioxidants that disperse throughout the cell, MTAs like MitoQ utilize lipophilic cations to penetrate the mitochondrial membrane, where they accumulate up to 1,000-fold. By scavenging free radicals directly at the electron transport chain, they protect mitochondrial DNA from oxidative damage, preserve cellular energy production, and delay the onset of age-related cellular senescence and decay.
Anti AgingView internship →
Genomic Data Analysis and Variant Annotation Pipeline
Interns will build automated bioinformatics pipelines to process whole genome/exome sequencing data, perform quality control, and annotate genetic variants for disease association. They will use tools like GATK, VEP, and develop custom scripts for variant classification and interpretation.
AI Next-Generation Biotech Platform ResearchView internship →
Natural Language Processing for Biomedical Literature Mining
Interns will implement NLP algorithms to extract drug-disease relationships, protein interactions, and biomarkers from scientific literature and clinical databases. They will build knowledge graphs and develop systems for automated hypothesis generation from biomedical text.
AI Next-Generation Biotech Platform ResearchView internship →
AI-Driven Drug Discovery and Molecular Docking Optimization
Interns will use machine learning and computational chemistry to predict compound-target binding affinities and optimize lead molecules for therapeutic potential. They will work with molecular simulation software, create feature engineering pipelines, and validate predictions through virtual screening campaigns.
AI Next-Generation Biotech Platform ResearchView internship →
Metagenomics and Microbiome Analysis Using AI Classification Models
Interns will develop machine learning classifiers to identify microbial species and functional gene clusters from metagenomic sequencing data. They will implement taxonomic profiling algorithms, create predictive models for microbiome-disease associations, and optimize classification accuracy across diverse sample types.
AI Next-Generation Biotech Platform ResearchView internship →
Machine Learning for Gene Expression Prediction
Interns will develop and train neural networks to predict gene expression patterns from DNA sequences and epigenetic data. They will work with datasets like single-cell RNA-seq and learn to apply deep learning models for genomic analysis and biomarker discovery.
AI Cell & Gene Biotechnology ResearchView internship →
CRISPR-Cas9 Off-Target Effect Prediction
Interns will utilize computational tools and AI algorithms to identify and predict potential off-target DNA binding sites for CRISPR gene editing systems. This involves analyzing genomic sequences, validating predictions experimentally, and improving safety profiles of gene therapy applications.
AI Cell & Gene Biotechnology ResearchView internship →
Drug Response Prediction in Cancer Cell Lines
Interns will build predictive models using multi-omics data to forecast how cancer cells respond to different therapeutic compounds. They will integrate genomic, transcriptomic, and proteomic data to identify resistance mechanisms and optimize personalized treatment strategies.
AI Cell & Gene Biotechnology ResearchView internship →
Protein Structure Prediction and Design Optimization
Interns will apply AI tools like AlphaFold and molecular docking software to predict protein structures and design novel therapeutic proteins with enhanced functionality. They will validate computational predictions through structural analysis and optimize protein sequences for biotechnology applications.
AI Cell & Gene Biotechnology ResearchView internship →
Patient Genomic Data Analysis and Variant Interpretation
Interns will analyze whole genome/exome sequencing data to identify disease-causing genetic variants and classify their clinical significance. They will work with bioinformatics pipelines and machine learning models to support precision medicine initiatives and genetic counseling workflows.
AI Cell & Gene Biotechnology ResearchView internship →
Machine Learning for Crop Phenotyping
Interns will develop and train deep learning models to analyze high-resolution plant imagery for automated trait detection and quantification. They will work with computer vision techniques to identify disease symptoms, stress indicators, and morphological characteristics in field and controlled environment settings.
AI Agricultural Biotechnology ResearchView internship →
Want to browse internship categories in Biotechnology? Explore all Biotechnology internship categories.