Job description
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.
Become a Freenomer
Do you have what it takes to be a Freenomer? A “Freenomer” is a determined, mission-driven, results-oriented employee fueled by the opportunity to change the landscape of cancer and make a positive impact on patients’ lives. Freenomers bring their diverse experience, expertise, and personal perspective to solve problems and push to achieve what’s possible, one breakthrough at a time.
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.
What you’ll do:
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
Must haves:
3-5 years of experience as a software engineer shipping highly reliable production systems, preferably as member of platform and backend teams
Proficiency with Python and familiarity with one or more other high-level programming languages
Experience managing cloud native services, storage and compute infrastructure on one or more public cloud providers, including GCP or Azure
Experience with Docker and operating container orchestrator frameworks, preferably Kubernetes
Hands-on experience managing CI/CD pipelines with Infrastructure as Code
Experience driving performance, efficiency and usability improvements with proactive attitude to monitoring, debugging and relentless optimization
Strong communication and documentation skills, and high empathy for users
Ability to thrive in an environment where cross-functional collaboration, communication and compromise are part of your day-to-day work
BS or higher in computer science or a related technical field, or comparable experience
Nice to haves:
Collaborating with research engineers, scientists, AI teams
Terraform, Pulumi or other Infrastructure as Code tools
Profiling and debugging at system level
Observability and monitoring tools such as Prometheus, Grafana, ELK stack
Flyte or other modern workflow orchestrators like Metaflow, Argo Workflows
Distributed computing frameworks and design patterns
Apache Iceberg or other data lake technologies like DeltaLake, Apache Hudi
Benefits and additional information:
The US target range of our base salary for new hires is $131,325 - $201,000. 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. Please note that individual total compensation for this position will be determined at the Company’s sole discretion and may vary based on several factors, including but not limited to, location, skill level, years and depth of relevant experience, and education. We invite you to check out our career page @ _freenome.com/job-openings/_for additional company information.
Freenome is proud to be an equal-opportunity employer, and we value diversity. Freenome does not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.
Applicants have rights under Federal Employment Laws.
- Family & Medical Leave Act (FMLA)
- Equal Employment Opportunity (EEO)
- Employee Polygraph Protection Act (EPPA)
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