• Develop and optimize bioinformatics pipelines for clonal analysis using WES and single-cell RNA sequencing.

• Integrate genetic variant and transcriptomic state analysis with biological insights into tumor progression and drug resistance.

• Assist in benchmarking and optimizing software tools for efficient data processing.

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

• Collaborate with senior bioinformaticians to refine workflows.

Minimum qualifications:

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

• Basic experience with NGS data analysis (WES and/or single-cell RNA-seq).

• Proficiency in Python.

• Good understanding of molecular biology, particularly oncology or 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.