Senior Bioinformatics Research Engineer

The role

You will develop and deploy bioinformatics research software and tooling on Freenome's computational platform. You will work in an interdisciplinary R&D team to build solutions at the intersection of machine learning, genetic sequencing, biological data, and distributed systems.

What you will do

• Work at the intersection of computational biology, machine learning research, software engineering and biological data.
• Lead the development of Freenome's bioinformatics research engineering framework and internal tools.
• Build for significant growth and scaling challenges as the company transitions from research to product development.
• Engineer robust and reproducible data pipelines that enable cutting edge liquid biopsy research.
• Manage and integrate data sources across the company to enable advanced multiomic analysis.
• Improve the reliability and scalability of the science platform.
• Develop software and workflows that support a long term vision for bioinformatics research and production.
• Enable data driven science discoveries in biology and healthcare.

Required qualifications

• PhD in a quantitative field such as computational biology, cancer biology, statistics, bioinformatics, computer science, or B.S./M.S. and equivalent experience.
• 4+ years of experience with bioinformatics infrastructure, automation, and software engineering.
• Robust history of delivering major technical projects or analyses.
• Strong computational and programming skills, in Python or equivalent, including thorough experience with large scale systems and user bases.
• Fundamental understanding of bioinformatics, including the central dogma, molecular or cancer biology, or familiarity with regulatory processes.
• Experience in NGS data analysis and bioinformatic pipelines.
• Experience with containerized cloud computing environments such as Docker in GCP, Azure, or AWS.
• Experience in a production software engineering environment, including the use of automated regression testing, version control, and deployment systems.
• Demonstrated ability to partner with laboratory and computational scientists to translate scientific roadmaps into concrete products.
• Ability to operate in a highly cross-functional environment where collaboration across disciplines is absolutely necessary.

Nice to have

• Experience in applying statistical methods and algorithms to large-scale datasets.
• Experience in analyzing one or more of the following biological modalities: epigenomics, proteomics (including mass spectrometry), transcriptomics (RNA-seq).
• Track record of selflessly supporting and growing highly effective teams.

Benefits

• Equity
• Cash bonuses
• Medical benefits
• Financial benefits
• Other benefits

About the company

Freenome is an equal-opportunity employer that aims to diagnose cancer at its most actionable and early stages.