Staff Bioinformatics Research Engineer

Summary

Join Freenome, a high-growth biotech company developing cancer detection tests, as a Staff Bioinformatics Research Engineer. You will contribute to Freenome’s computational platform for R&D, developing and deploying bioinformatics research software and tooling. Collaborate with an interdisciplinary team to develop cutting-edge solutions at the intersection of machine learning, genetic sequencing, biological data, and distributed systems. Your work will directly impact the early diagnosis of cancer. This role requires a strong background in bioinformatics, software engineering, and experience with large-scale data analysis. Freenome offers a competitive salary, pre-IPO equity, cash bonuses, and a full range of benefits.

Requirements

• PhD in a quantitative field such as computational biology, cancer biology, statistics, bioinformatics, computer science, or B.S./M.S. and equivalent experience
• 5+ years of experience with bioinformatics infrastructure, automation, and software engineering
• Robust history of delivering major technical projects or analyses, including experience in a technical leadership role
• 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

Responsibilities

• Drive the development of the computational research platform so that bioinformatics, in conjunction with other functions such as machine learning and model development, will enable rapid evaluation of scientific hypotheses
• Connect the biological research that leverage computational biology fundamentals related to NGS or multi-omic data sources to the production system that will process patient samples at scale
• Work with stakeholders at the intersection of computational biology, machine learning research, software engineering and biological data
• Lead the development of Freenome’s bioinformatics research framework and internal tools
• Build for significant growth and scaling challenges as we transition from research to product development
• Engineer robust and reproducible data pipelines that enable cutting edge liquid biopsy research
• Improve the reliability and scalability of our science platform as it grows
• Develop software and workflows that support a long term vision for bioinformatics research and production
• Enable data driven science discoveries in biology and healthcare

Preferred Qualifications

• 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

• The US target range of our base salary for new hires is $188,275 - $288,500
• You will also be eligible to receive pre-IPO equity, cash bonuses, and a full range of medical, financial, and other benefits depending on the position offered