• Develop and optimize bioinformatics pipelines for 16S rRNA sequencing.

• Process and analyze 16S rRNA sequencing data using bioinformatics tools.

• Integrate microbial community analysis with broader biological insights.

• Assist in the benchmarking and optimization of software tools for efficient data processing.

• Document and communicate results to internal stakeholders and in team meetings.

• Collaborate with senior bioinformaticians to refine workflows.

• Currently pursuing a degree in bioinformatics, computational biology, or a related field.

• Basic experience with NGS data analysis.

• Familiarity with bioinformatics tools such as QIIME, DADA2, or similar.

• Proficiency in Python or R for data analysis.

• Good understanding of molecular biology, particularly microbiology.

• Ability to work in a team-oriented environment and communicate findings clearly.

• Proficiency in English

Nice to have:

• Experience with workflow management tools like Nextflow or Snakemake.

• Familiarity with version control (e.g., GitHub).

• Previous exposure to cloud-based environments (AWS, Google Cloud).

• Understanding of statistical approaches for microbial diversity analysis.