WHY JOIN FREENOME?

Freenome is a high-growth biotech company developing tests to detect cancer using a standard blood draw. To do this, Freenome uses a multiomics platform that combines tumor and non-tumor signals with machine learning to find cancer in its earliest, most-treatable stages.
Cancer is relentless. This is why Freenome is building the clinical, economic, and operational evidence to drive cancer screening and save lives. Our first screening test is for colorectal cancer (CRC) and advanced adenomas, and it’s just the beginning.
Founded in 2014, Freenome has ~400 employees and continues to grow to match the scope of our ambitions to provide access to better screening and earlier cancer detection.
At Freenome, we aim to impact patients by empowering everyone to prevent, detect, and treat their disease. This, together with our high-performing culture of respect and cross-collaboration, is what motivates us to make every day count.

ABOUT THIS OPPORTUNITY:

At Freenome, we are seeking a Senior Software Engineer to scale the next generation Research Platform that accelerates our mission to develop accessible solutions to combat cancer. You will closely partner with Product Managers and other infrastructure and product software engineers to drive innovation, contributing to the success of Freenome as a whole. In this role you will be at the core of a world-class interdisciplinary group including Research engineers, ML Scientists, Bioinformaticists, Computational Biologists, Biostatisticians. The ideal candidate has contributed to building internal platforms and is comfortable working in a dynamic environment, adapting to rapid technological progress and changing research priorities.
The role reports to our engineering management team. This role will be a remote position based anywhere in the US.

• Develop, scale and provide support on the computing and data platforms that power all Freenome’s research
• Understand user needs across a wide range of engineering and scientific disciplines, and create simple solutions to enhance their productivity
• Build tools and abstractions to orchestrate and track distributed workflows, supporting petabyte-scale data pipelines and ML model development
• Optimize our Kubernetes clusters for high-throughput batch processing, e.g. by scouting, deploying and tuning alternative schedulers and policy engines. We use Apache Yunikorn and Kyverno
• Collaborate with team mates through system design, code review and pairing
• Provide technical support and pair as needed with our scientific partners
• Contribute to develop our Data Lakehouse and other platform components of a modern data architecture
• Champion platform engineering best practices and a data as a product culture at Freenome