Senior Computational Biologist I

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Requirements:

• Post-graduate degree (MS or PhD) in statistics, computational biology, bioinformatics, cancer biology, or related quantitative field
• 3+ years of industry experience
• Experience with molecular biology
• Experience in experimental design and analysis of high-throughput, quantitative technologies
• Familiarity with and ability to select and leverage bioinformatics tools for the above molecular assays
• Experience in applied statistics, such as in hypothesis testing, GLM, and appropriate use of simulation
• Expertise in data analysis and visualization using  R (tidyverse), or Python statistical packages (Numpy, Matplotlib, Pandas), or equivalent, under version control
• Excellent oral and written communication skills to communicate to scientific and broader audiences, with keen attention to detail
• Ability to work on a cross-functional team in our highly collaborative environment, working with both computational and experimental scientists

Responsibilities:

• Plan and execute development experiments for Freenome’s multiomics cancer screening tests
• Partner cross-functionally with computational, development, regulatory, and quality leaders to develop and execute a regulated development strategy working toward FDA approval
• Use your quantitative skills to develop computational methods and interpret complex experimental results in order to optimize and validate innovative technology for sample collection, preparation, and detection
• Develop and execute appropriate experimental design and analysis plans for Development, Verification, and Validation studies, closely partnering with Biostatistics, Development, and Pre-Analytics teams
• Work closely with molecular and computational research teams developing Freenome’s IVD products for blood-based molecular assays involving cell-free DNA
• Impact patient lives through the development and launch of high quality cancer screening technologies