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Senior Software Engineer II
Freenome is a high-growth biotech company developing tests to detect cancer using a standard blood draw. Our multiomics platform combines tumor and non-tumor signals with machine learning to find cancer in its earliest, most treatable stages.
Our Mission
We are building the clinical, economic, and operational evidence to drive cancer screening and save lives.
About Freenome
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.
Job Summary
We are seeking an experienced backend engineer to join our innovative Engineering team. The ideal candidate will have a strong background in developing scalable and reliable software solutions.
Responsibilities
- Design, build, and maintain backend services that support our mission to detect cancer early.
- Collaborate with an interdisciplinary team of engineers, scientists, and product managers to 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.
Requirements
- 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.
- 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.
- 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.
- Domain-specific experience in computational biology, genomics, or a related field.
About the Role
This role will be a remote position based anywhere in the US.
Benefits
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.
