Internships — LISAINEX Academy

Biostatistics & Data Interpretation using R Internship

Interns build practical biostatistics and R programming skills, progressing from descriptive statistics and data visualization through hypothesis testing into correlation, regression, and multivariate analysis. The internship emphasizes correctly interpreting statistical output in a biological context, not just running tests mechanically.

Duration: 4–6 Weeks

Eligibility: Open to undergraduate/postgraduate students in life sciences who want applied statistics experience.

R programming basics Descriptive statistics Data visualization in R Hypothesis testing Correlation & regression Multivariate statistics

Nutrigenomics Internship

This internship explores how genetic variation shapes nutrient metabolism and disease risk. Interns study SNPs relevant to nutrient metabolism, examine gene-nutrient interactions in metabolic disorders, and consider nutrigenomic factors in drug-nutrient interactions, supported by applied statistical analysis of relevant datasets.

Duration: 4–6 Weeks

Eligibility: Open to undergraduate/postgraduate students in genetics, nutrition science, or life sciences.

SNPs in nutrient metabolism Gene-nutrient interactions Drug-nutrient interaction concepts Statistical analysis

NGS Data Analysis Internship

Interns gain applied experience across the NGS analysis workflow — from understanding sequencing technologies and setting up analysis tools to preprocessing raw data. The internship covers genome assembly and RNA-Seq analysis concepts, finishing with practice visualizing and communicating sequencing results.

Duration: 4–6 Weeks

Eligibility: Open to undergraduate/postgraduate students in genomics, molecular biology, or bioinformatics.

NGS technology overview Analysis environment setup (Linux/WSL) Data preprocessing Genome assembly RNA-Seq analysis Data visualization

Microbiome Data Analysis Internship

This internship builds practical microbiome analysis skills from the ground up — setting up the required analysis environment, understanding sequencing file formats, and running quality checks. Interns then work through taxonomy assignment and generate diversity/functional plots, gaining a complete, applied view of the microbiome analysis workflow.

Duration: 4–6 Weeks

Eligibility: Open to undergraduate/postgraduate students in microbiology, environmental science, or bioinformatics.

Analysis environment setup (Linux/WSL) Sequencing file formats Data quality analysis Taxonomy assignment Diversity visualization

CRISPR-Cas9 In Silico Analysis Internship

Interns build a practical understanding of CRISPR-Cas9 genome editing from a computational perspective — starting with guide RNA design, moving through targeted editing concepts and off-target prediction, and considering delivery method trade-offs. The internship closes with a guided case study applying these concepts to a real editing scenario.

Duration: 4–6 Weeks

Eligibility: Open to undergraduate/postgraduate students in molecular biology or genetics.

CRISPR-Cas9 fundamentals Guide RNA design Off-target prediction Gene editing delivery considerations

Drug Designing Internship

This internship walks students through the rational drug design process — from foundational drug discovery concepts and protein structure analysis into both structure-based and ligand-based design approaches. Interns study receptor-ligand interactions and drug-likeness properties, applying pharmacophore and ADMET evaluation to a guided project scenario.

Duration: 4–6 Weeks

Eligibility: Open to undergraduate/postgraduate students in pharmacy, chemistry, or life sciences.

Protein structure analysis Structure-based drug design Ligand-based drug design Receptor-ligand interaction Pharmacophore & ADMET properties

Vaccine Design Internship

Interns explore the computational vaccine design pipeline end-to-end — identifying antigenic proteins, mapping B-cell and T-cell epitopes, and assembling a vaccine construct. The internship continues into tertiary structure modelling and validation, followed by molecular docking and immune simulation, culminating in a guided case study that mirrors real vaccine-candidate evaluation work.

Duration: 4–6 Weeks

Eligibility: Open to undergraduate/postgraduate students in immunology, microbiology, or bioinformatics.

Antigenic protein identification Epitope prediction (B-cell & T-cell) Vaccine construct design Structure modelling & validation Docking & immune simulation

Chemoinformatics Internship

This internship introduces the practical toolkit of chemoinformatics, from structure drawing and molecular descriptor calculation to fingerprint-based similarity analysis. Interns apply QSAR concepts and Lipinski-style filtering criteria before working through ADMET prediction and a guided molecular docking exercise, connecting cheminformatics analysis to real drug-discovery decision-making.

Duration: 4–6 Weeks

Eligibility: Open to undergraduate/postgraduate students in chemistry, pharmacy, or bioinformatics.

Structure drawing Molecular descriptors & fingerprints QSAR Lipinski-style filtering ADMET prediction Molecular docking

Bioinformatics Internship

A hands-on internship covering the practical foundations of bioinformatics — from navigating biological databases to performing sequence alignment, phylogenetic analysis, and structural interpretation. Interns work through guided exercises in gene and protein prediction before applying molecular docking concepts to a small applied project, building a rounded, practical skill set for further research or study.

Duration: 4–6 Weeks

Eligibility: Open to undergraduate/postgraduate students in life sciences, biotechnology, or bioinformatics.

Biological databases Sequence alignment Phylogenetic analysis Gene & protein prediction Protein structure analysis Molecular docking

Bioinformatics Research Internship

Work alongside LISAINEX researchers on live computational biology and genomics projects.

Duration: 3 Months

Eligibility: Final-year undergraduates or graduate students in Bioinformatics, Biotechnology, or related fields.

Python R Genomics Research Writing

ResearchInternships

Biostatistics & Data Interpretation using R Internship

Nutrigenomics Internship

NGS Data Analysis Internship

Microbiome Data Analysis Internship

CRISPR-Cas9 In Silico Analysis Internship

Drug Designing Internship

Vaccine Design Internship

Chemoinformatics Internship

Bioinformatics Internship

Bioinformatics Research Internship

Research
Internships