Staff Machine Learning Scientist (Remote)
FreenomeCalifornia, United States
Posted October 20, 2025
199675 - 302400 USD year
Full Time
About the Company
Freenome is a high-growth biotech company founded in 2014, dedicated to developing next-generation blood tests for early-stage cancer detection using multiomics platforms and machine learning. The company focuses on preventing, detecting, and treating diseases through innovative molecular diagnostics and computational biology, with its first test targeting colorectal cancer and advanced adenomas. Freenome's culture emphasizes mission-driven employees who prioritize patient impact and cross-collaboration.
Job Description
Freenome is a biotech company developing cancer detection tests using a multiomics platform. They are seeking a Staff Machine Learning Scientist to join their Computational Science team, responsible for the development of algorithms for blood-based cancer detection. The role involves building ML/DL models, working with ML engineers and collaborators, and driving research experiments. Freenome is dedicated to improving cancer screening and saving lives.
Requirements
- PhD or equivalent research experience in AI or a quantitative field
- 6+ years of postdoc or post-PhD industry experience in modelling
- Expertise in ML/DL models (generalized linear models, kernel machines, neural networks, boosting, etc.)
- Proficiency in Python, R, Java, C, C++, or similar programming languages
- Experience with ML frameworks such as PyTorch, TensorFlow, Jax, and ML platforms like Hugging Face
- Proficiency in ML analysis tools and developer tools
- Excellent communication and collaboration skills
- Passion for innovation
Benefits
- Medical Benefits
- Financial Benefits
- Equity Programs
- Professional Development