Senior Bioinformatics Scientist

Qualification

Ph.D. in Bioinformatics, Computer Science, Statistics, Cancer Biology, or a related quantitative field. 0–3 years of professional or postgraduate experience in bioinformatics or computational biology. KNOWLEDGE, SKILLS AND ABILITIES: Excellent communication skills with a demonstrated ability to present complex computational findings to diverse cross-functional stakeholders. Deep expertise in high-throughput DNA sequencing (NGS) analysis, including sequence alignment, mapping, and clinical-grade variant calling. A proven track record of developing state-of-the-art, high-impact bioinformatics methodologies. Advanced knowledge of data structures, algorithm design, and computational complexity analysis. High proficiency in Python and its scientific ecosystem (NumPy, Pandas, Scikit-learn) for data manipulation and automation. Experience with workflow orchestration languages (WDL preferred) for building and versioning scalable bioinformatics pipelines. Experience with cloud-based distributed computing environments, specifically AWS. Familiarity with contemporary analytical techniques and biomarkers in cancer biology. Working knowledge of public genomic databases such as TCGA, COSMIC, or