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Molecular Genetics Internship Topics

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

Molecular Genetics Internships with Accommodation

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Showing 1–12 of 20 internship topics
Deep Learning Models for Transcription Factor Binding Prediction
Interns will develop and train neural network models to predict transcription factor binding sites across genomic sequences. They will work with large-scale ChIP-seq datasets and implement convolutional neural networks to identify regulatory motifs and validate predictions against experimental data.
AI Gene Regulation & Transcription ResearchView internship →
CRISPR-Based Gene Regulation Mapping
Interns will design and conduct CRISPR interference (CRISPRi) experiments to systematically perturb gene regulatory elements and measure transcriptional responses. They will analyze RNA-seq data to create gene regulatory networks and identify key regulatory interactions in target pathways.
AI Gene Regulation & Transcription ResearchView internship →
Single-Cell RNA-seq Analysis of Transcriptional Heterogeneity
Interns will analyze scRNA-seq datasets to characterize cell-to-cell variability in gene expression and identify rare cell states. They will apply clustering algorithms and trajectory inference methods to understand transcriptional dynamics and cell fate determination.
AI Gene Regulation & Transcription ResearchView internship →
Epigenetic Modifications and Chromatin Accessibility Studies
Interns will process ATAC-seq and ChIP-seq data to correlate chromatin accessibility with gene expression patterns and histone modifications. They will develop bioinformatics pipelines to identify disease-associated regulatory regions and validate epigenetic biomarkers.
AI Gene Regulation & Transcription ResearchView internship →
Natural Language Processing for Mining Regulatory Literature
Interns will apply NLP and text mining techniques to systematically extract transcription factor-gene interactions from biomedical literature. They will build knowledge graphs of gene regulatory networks and integrate literature-derived interactions with experimental genomic data for validation.
AI Gene Regulation & Transcription ResearchView internship →
Next-Generation Sequencing (NGS) Data Analysis Pipeline Development
Interns will develop and optimize bioinformatics pipelines for processing raw NGS data from various sequencing platforms (Illumina, Oxford Nanopore, PacBio). They will work on quality control, read alignment, variant calling, and creating automated workflows using tools like GATK, BWA, and SAMtools.
DNA Sequencing Technology DevelopmentView internship →
Long-Read Sequencing Technology Optimization
Interns will investigate methods to improve long-read sequencing accuracy and throughput using third-generation sequencing technologies. This includes optimizing library preparation protocols, testing novel error-correction algorithms, and analyzing performance metrics for complex genomic regions.
DNA Sequencing Technology DevelopmentView internship →
Targeted Gene Sequencing and Panel Design
Interns will design and validate custom sequencing panels for specific genetic diseases or research targets, optimizing probe design, coverage uniformity, and cost-efficiency. They will conduct wet-lab validation and analyze enrichment performance across different sample types.
DNA Sequencing Technology DevelopmentView internship →
Single-Cell Sequencing Protocol Development
Interns will work on developing and refining single-cell RNA-seq and DNA-seq protocols, including cell isolation, library preparation, and computational analysis of cell-level genomic heterogeneity. Focus will be on reducing batch effects and improving capture efficiency.
DNA Sequencing Technology DevelopmentView internship →
Portable and Field-Based Sequencing Technology Assessment
Interns will evaluate emerging portable sequencing platforms (MinION, iSeq) for real-world applications in resource-limited settings and field research. They will assess accuracy, turnaround time, and develop rapid analysis protocols suitable for on-site genomic diagnostics.
DNA Sequencing Technology DevelopmentView internship →
SNP and Indel Detection in Candidate Genes
Interns will learn to identify and characterize single nucleotide polymorphisms (SNPs) and insertion/deletion mutations in disease-associated genes using sequence alignment tools and variant calling pipelines. They will analyze genomic data to determine pathogenic variants and their potential functional consequences in genetic disorders.
Mutation Screening in Genetic DiseasesView internship →
Sanger Sequencing and Mutation Validation
Interns will perform direct DNA sequencing using Sanger sequencing methodology to validate mutations identified through high-throughput screening in patient samples. They will interpret electropherograms, design sequencing primers, and document mutation locations relative to gene structures.
Mutation Screening in Genetic DiseasesView internship →
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