Staff Computational Biologist

We are seeking a Staff Computational Biologist to join our Computational Biology, Assay Research (CBAR) team. You will apply your scientific expertise to develop early, noninvasive tests for cancer detection using cfDNA as a biomarker.

Responsibilities:

• Lead analysis and interpretation of molecular and clinical data for early cancer detection.
• Suggest research hypotheses and areas for computational model and assay improvement.
• Design and execute research studies to drive early research of prototype cancer early detection products.
• Develop bioinformatics pipelines for high-throughput NGS data processing and analysis.
• Collaborate with wet lab scientists to characterise and iterate on experimental methods.
• Remain up-to-date with molecular techniques in oncology and contribute to bringing forward next-generation assays.

Requirements:

• PhD in computational biology, cancer biology, statistics, bioinformatics, or a related quantitative field.
• 6+ years of scientific industry experience in applying computational techniques for biological discovery and product development.
• Extensive experience in NGS assay and pipeline development.
• Strong quantitative reasoning and data analysis skills.
• Proficiency in Python statistical packages (Numpy, Matplotlib, Pandas) or equivalent.
• Excellent oral and written communication skills.
• Ability to work in a cross-functional team.

Nice to Have:

• Expert knowledge of chromatin biology, liquid biopsy, DNA methylation, and their relevance in cancer early detection.
• Experience working with DNA methylation data for biomarker discovery research.
• Experience in developing, applying, and evaluating statistical and/or machine learning algorithms.

Benefits:

• Competitive salary ($188,275 - $270,375).
• Equity, cash bonuses, and a full range of medical, financial, and other benefits.