Senior Software Engineer II (Remote)

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 II to join our innovative Engineering team. The ideal candidate is an experienced backend engineer with a strong background in developing scalable and reliable software solutions. You will play a crucial role in designing, building, and maintaining backend services that support our mission to detect cancer early. This position requires a collaborative mindset, as you will work closely with an interdisciplinary team of engineers, scientists, and product managers to deliver high-quality software solutions. You are passionate about software development best practices and will have a significant impact on the continued growth of an organization dedicated to changing the entire landscape of cancer.

The role reports to our engineering management team. This role will be a remote position based anywhere in the US.

What you’ll do:

• Design, develop, and deploy reliable, maintainable, scalable, and fault-tolerant backend services that power both our internal and external systems
• Collaborate with interdisciplinary teams, including scientists, product managers, and other engineers, to solve complex problems and deliver high- quality software solutions
• Mentor and guide junior engineers, fostering their growth and enhancing the team's technical expertise
• Lead code and design reviews, championing engineering best practices and promoting a culture of quality and collaboration
• Contribute to the development of data infrastructure for machine learning applications, ensuring efficient data processing and integration
• Drive the implementation of engineering hygiene practices, ensuring the reliability and maintainability of our systems
• Advocate for and implement innovative software development methodologies and tools to improve team efficiency and product quality

Must haves:

• Bachelor of Science in Computer Science, Engineering, or related field or equivalent training, fellowship, and/or work experience
• At least 8 years of experience as part of a software development team successfully shipping software products, including leading projects from end-to-end and mentoring others
• Proficiency in Python and experience with backend development in a team production environment
• Strong experience with containerization and orchestration technologies such as Docker and Kubernetes
• Familiarity with cloud platforms like AWS, Azure, or Google Cloud Platform
• Proven experience in designing and implementing scalable backend systems, with a focus on reliability and performance
• Excellent written and verbal communication skills, with a mindful and transparent approach to collaboration

Nice to haves:

• Understanding of statistical and machine learning methods, with practical experience in applying them to real-world problems
• Expertise in developing ETL or data pipelines that run at scale, utilizing common workflow management systems like Flyte, Airflow, or similar