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.

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