Position summary

The Computational Biologist will join our rapidly growing Diagnostics Program and contribute key capabilities and expertise to our product development efforts. This candidate will combine knowledge of molecular biology and genomics with scientific and quantitative expertise to deliver actionable insights to the team. This person will interface with assay development scientists, data scientists, statisticians, and other product development personnel to promote data-based knowledge and drive new understanding central to Archer’s platform.

Responsibilities

• Collaborate with scientists, clinical personnel, software developers, and data managers to develop a deep understanding of Archer’s platform and key product development questions
• Contribute scientific expertise, and formulate broad and focused product development questions associated with cancer genomics
• Address scientific questions using computational biology approaches including scripting, statistical analysis, data visualization
• Conduct analyses in reproducible manner that is compliant with regulatory standards
• Interpret and communicate findings to biologists and others via reports and presentations
• Recognize process improvement needs and collaborate with other personnel to address them

Qualifications

• Ph.D. degree with a major in a relevant scientific or engineering field
• 2+ years professional experience in a biotech company or exceptional academic performance
• Expertise in genomics, high-throughput sequence datasets, and molecular biology
• Solid quantitative skills including statistical model fitting and hypothesis testing
• Competent in relevant computational techniques (R and/or Python, Linux, bioinformatic tools)
• The ability to effectively communicate complex scientific ideas to non-experts
• Exceptional organization skills and attention to detail
• Highly motivated and ability to work independently
• Experience with oncology research (Desired)
• Experience working with medical devices, diagnostics, and/or oncology assays (Desired)