Computational Biologist

Responsibilities

• Lead the analysis and interpretation of molecular and clinical data in the context of early cancer detection
• Suggest research hypotheses and areas for potential computational model and assay improvement
• Develop bioinformatics pipelines to enable high throughput NGS data processing and analysis
• Collaborate with wet lab scientists to characterize and iterate on experimental methods
• Provide real-time assessments of assay performance, quality control, and clinical utility

Requirements

• PhD in computational biology, cancer biology, statistics, bioinformatics, or related quantitative field
• Experience in NGS assay and pipeline development
• Proven track record of implementing complex workflows for high throughput NGS data processing
• Strong quantitative reasoning and data analysis skills
• Proficiency in Python (Numpy, Matplotlib, Pandas) or R
• Excellent oral and written communication skills
• Ability to work effectively in a cross-functional, collaborative environment

Preferred Qualifications

• Expert knowledge of chromatin biology, liquid biopsy, and DNA methylation
• Extensive experience working with DNA methylation data for biomarker discovery
• Experience developing and evaluating statistical or machine learning algorithms

About the Company

Freenome is developing early, noninvasive tests for cancer detection using cfDNA as a biomarker.