Bioinformatics Intern

Role & Responsibilities

• Assist in bioinformatics and NGS data analysis projects.
• Perform basic analysis of RNA-seq, WES/WGS, metagenomics and other sequencing datasets.
• Work with biological databases and tools for genomics, transcriptomics and molecular analysis.
• Support data preprocessing, quality control, visualization and interpretation of biological datasets.
• Use Linux, Python and/or R for bioinformatics workflows and data analysis.
• Assist in developing and maintaining bioinformatics pipelines and computational workflows.
• Conduct literature and database research to support ongoing scientific projects.
• Prepare analysis reports, figures and documentation of results.
• Collaborate with bioinformaticians, data scientists and research teams.
• Opportunity to work on AI/ML applications in bioinformatics and drug discovery.

Preferred Candidate Profile

• Pursuing or recently completed B.Sc./M.Sc./M.Tech./B.Tech. in Bioinformatics, Biotechnology, Computational Biology, Life Sciences or a related field.
• Basic understanding of molecular biology, genetics and genomics.
• Familiarity with NGS data and bioinformatics concepts is preferred.
• Basic knowledge of Python or R.
• Familiarity with Linux/Unix command line is an advantage.
• Knowledge of tools such as BLAST, FastQC, STAR, BWA, HISAT2, SAMtools, GATK, DESeq2 or similar is an advantage.
• Strong interest in computational biology, genomics and AI-driven life sciences.
• Good analytical and problem-solving skills.
• Ability to learn new computational tools and scientific concepts quickly.
• Good written and verbal communication skills.
• Freshers and students looking for dissertation/internship opportunities are encouraged to apply.
• Strong performers may be considered for a full-time position after successful completion of the internship.