• Detect, annotate, and interpret somatic variants, including SNVs, CNVs, and SVs.

• Integrate mutation profiles with transcriptomic and clinical data to uncover insights into treatment response.

• Benchmark and refine software tools to improve variant-calling accuracy and data-processing efficiency.

• Clearly document workflows and communicate findings in team discussions and internal reports.

• Collaborate with senior bioinformaticians to enhance existing analysis frameworks and maintain best practices.

Minimum qualifications:

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

• Basic experience with NGS data analysis.

• Proficiency in Python.

• Good understanding of molecular biology, oncology and cancer genetics.

• 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 integrating multi-omic data.