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FreenomeFR

Senior Software Engineer II

Freenome is a biotechnology company developing blood tests for early cancer detection using a multiomics platform that combines molecular biology, computational biology, and machine learning. Their initial focus is on colorectal and lung cancer.

Freenome

Employee count: 501-1000

Salary: 162k-227k USD

United States only

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About this opportunity:

At Freenome we are seeking a Senior Software Engineer to grow our Platform team. This is an opportunity to join a stellar group of engineers with the mission to enable scientific innovation, cross-functional collaboration and data intelligence as we move from R&D to the commercial launch of our lifesaving multi-cancer detection blood tests. This team builds and operates the multi-tenant platform that provides a governed data lakehouse and query infrastructure, scalable batch and distributed compute, and self-service environments for development and analytics to an interdisciplinary user base across all Freenome.

The ideal candidate has experience building internal platforms, enjoys collaborating with other domain experts, and is comfortable operating in a fast-evolving technical and organizational environment.

The role reports to our engineering management team. This role will be a Remote role.

What you’ll do:

  • Lead projects end to end and contribute to impactful platform initiatives that power R&D, operational excellence and business intelligence analytics.
  • Partner with engineers, scientists, product managers and business teams to identify high-leverage opportunities and build common solutions.
  • Integrate open-source, enterprise and SaaS technologies into our evolving stack.
  • Design and ship components of a new platform architecture to enable multi-tenancy, fine-grained data governance, workload isolation and scaling.
  • Contribute to the growth of our Data Lakehouse platforms, enabling well governed data products for analytical and operational use cases.
  • Continuously improve the Research Platform to meet our Science’s evolving needs for experimentation, ML Ops, data processing and analysis.
  • Help shape how we approach data modeling, context engineering and emerging semantic layers to make data easier to discover and to use.
  • Advocate for a product mindset within Platform and Data engineering at Freenome, focusing on developer effectiveness and platform usability.
  • Explore and pilot AI-assisted or agentic workflows to enhance individual and team productivity, sharing learnings with the broader organization.
  • Collaborate through system design, code reviews and pairing, promoting a strong team culture of accountability, learning, and psychological safety.
  • Support platform users to troubleshoot issues and unblock critical work.
  • Model Freenome’s values and principles in your work and interactions.

Must haves:

  • 6+ years of experience building and operating highly reliable production software systems, preferably in platform engineering teams or similar.
  • Proficiency with Python and experience with one or more other high-level programming languages.
  • Strong knowledge of Linux fundamentals including networking and containerization.
  • Hands-on experience operating cloud services, storage and compute using IaC with at least one major cloud provider, preferably Azure or GCP.
  • Operational experience managing and optimizing large Kubernetes clusters, preferably in single or multi-cluster environments with thousands of nodes.
  • A pragmatic approach to reliability, observability, performance tuning, and operational excellence.
  • Excellent communication and documentation skills.
  • Comfort with cross-functional collaboration and navigating tradeoffs.
  • BS or higher in computer science or a related technical field, or comparable experience.

Nice to haves:

  • Columnar data processing, open lakehouse technologies and table formats.
  • Supporting researchers, data scientists, AI/ML teams.
  • Flyte or other modern workflow orchestrators.
  • Everything as Code approach to infrastructure, policies, data.
  • Operating production systems in Microsoft Azure.
  • Open-Source contribution and maintenance.

Benefits and additional information:

The US target range of our base salary for new hires is $161,925 - $227,325. You will also be eligible to receive 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.

About the job

Apply before

Posted on

Job type

Full Time

Experience level

Mid-level

Salary

Salary: 162k-227k USD

Location requirements

Hiring timezones

United States +/- 0 hours

About Freenome

Learn more about Freenome and their company culture.

View company profile

We are Freenome, a biotechnology company with a mission to create tools that empower everyone to prevent, detect, and treat their disease, starting with cancer. Since our founding in 2014, we've been driven by the goal of making cancer screening and diagnostics as accurate and accessible as possible. We understand that cancer is a complex and heterogeneous disease, and that's why we're pioneering a comprehensive multiomics platform. This platform combines deep expertise in molecular biology with advanced computational biology, machine learning, and multiple data types to tune into cancer's subtlest cues, even at its earliest and most treatable stages. We believe that no single technology can identify every cancer, so our multimodal approach analyzes genomics, transcriptomics, methylomics, and proteomics to recognize disease-associated patterns among billions of circulating cell-free biomarkers.

Our initial focus is on developing next-generation blood tests for early-stage colorectal cancer and advanced adenomas, with a pipeline of single-cancer and tailored multi-cancer early detection tests under development for other deadly and actionable cancers like lung cancer. We are committed to rigorous clinical programs to drive the discovery, development, and validation of our tests. We're currently in the final stages of enrollment for PREEMPT CRC, our large, prospective registrational study for our colorectal cancer screening test, and have other studies like PROACT LUNG underway. We partner with healthcare organizations, population health decision-makers, pharmaceutical companies, integrated health systems, and academic institutions to integrate our technology and software platform, making cancer detection easier and more accessible for everyone. We're passionate about building a future where a simple, convenient blood draw can empower individuals to access recommended cancer screenings and ultimately save lives. Our team of 'Freenomers' is fueled by this opportunity to make a positive impact on patients' lives, thriving in a culture of respect, cross-collaboration, and innovation.

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