Bioinformatics Analyst

Key Responsibilities:

• Analyse large-scale NGS datasets (DNA-seq, RNA-seq, single-cell sequencing, etc.) to support oncology/cancer research initiatives.
• Develop, optimize, and maintain robust bioinformatics pipelines.
• Design and implement scalable data analysis workflows leveraging Docker for containerized reproducibility.
• Collaborate closely with biologists, clinicians, and data scientists to translate biological questions into computational solutions.
• Perform statistical analyses and data visualization using R and Python to interpret complex data.

Qualifications/Skills:

• Master s or PhD degree in Bioinformatics, Computational Biology, Computer Science, Genetics, or a related field.
• 7-10 years of professional experience in bioinformatics or computational biology, with a strong focus on Next-Generation Sequencing (NGS) data analysis such as RNA-seq, DNA-seq (variant calling), methylome-seq, etc. preferably applied to oncology/cancer research.
• Proficiency in programming languages: R and Python (including libraries such as dplyr, ggplot2, pandas, NumPy, matplotlib, plotly etc.).
• Good understanding of oncology/cancer biology and related genomic technologies.
• Experience in oncology/cancer data analysis is a plus.
• Expertise in workflow management systems: Snakemake and Nextflow.
• Strong experience with Docker and containerization best practices.
• Familiarity with cloud computing platforms (AWS, Google Cloud Platform, or Azure) is a plus.
• Solid background in statistical methods for biological data analysis.
• Excellent communication skills and ability to work collaboratively in a multidisciplinary environment.
• Strong problem-solving skills and attention to detail.