Freenome · 1 day ago
Senior Machine Learning Scientist
Brisbane, California
Full-time
Hybrid
Mid, Senior Level
$174K/yr - $263K/yr
3+ years expFreenome is seeking a Senior Machine Learning Scientist to enhance the Machine Learning Science team within the Computational Science department. The role focuses on developing algorithms for early cancer detection tests using machine learning and deep learning techniques, collaborating with various scientific partners to drive impactful research.
BiotechnologyHealth CareHealth DiagnosticsOncologyPersonal Health
Responsibilities
Independently pursue cutting edge research in AI applied to biological problems (including cancer research, genomics, computational biology, immunology, etc.)
Build new models or fine-tune existing models to identify biological changes resulting from disease
Build models that achieve high accuracy and that generalize robustly to new data
Apply contemporary interpretability techniques to provide a deeper understanding of the underlying signal identified by the model, ideally suggesting potential biological mechanisms
Work closely with ML Engineering partners to ensure that Freenome’s computational infrastructure supports optimal model training and iteration
Take a mindful, transparent, and humane approach to your work
Qualification
Required
PhD or equivalent research experience with an AI emphasis and in a relevant, quantitative field such as Computer Science, Statistics, Mathematics, Engineering, Computational Biology, or Bioinformatics
3+ years of postdoc or post-PhD industry experience achieving impactful results using relevant modeling techniques
Expertise, demonstrated by research publications or industry achievements, in applied machine learning, deep learning and complex data modeling
Practical and theoretical understanding of fundamental ML models like generalized linear models, kernel machines, decision trees and forests, neural networks
Practical and theoretical understanding of DL models like large language models or other foundation models
Extensive experience with training paradigms like supervised learning, self-supervised learning, and contrastive learning
Proficient in current state of the art in ML/DL approaches in different domains, with an ability to envision their applications in biological data
Proficiency in a general-purpose programming language: Python, R, Java, C, C++, etc
Proficiency in one or more ML frameworks such as; Pytorch, Tensorflow and Jax; and ML platforms like Hugging Face
Experience in ML analysis and developer tools like TensorBoard, MLflow or Weights & Biases
Excellent ability to communicate across disciplines, work collaboratively, and make progress in smaller steps via experimental iterations
A passion for innovation and demonstrated initiative in tackling new areas of research
Preferred
Deep domain-specific experience in computational biology, genomics, proteomics or a related field
Experience in building DL models for genomic data, with knowledge of state-of-the-art DNA foundation models
Experience in NGS data analysis and bioinformatic pipelines
Experience with containerized cloud computing environments such as Docker in GCP, Azure, or AWS
Experience in a production software engineering environment, including the use of automated regression testing, version control, and deployment systems
Benefits
Equity
Cash bonuses
Full range of medical, financial, and other benefits
Company
Freenome
Freenome is a biotechnology company developing blood tests for early cancer detection to improve access to routine screening.
201-500 employees
H1B Sponsorship
Freenome has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (7)
2024 (11)
2023 (15)
2022 (10)
2021 (7)
2020 (7)
Funding
Current Stage
Late StageTotal Funding
$1.53BKey Investors
RocheExact SciencesS32
2025-12-04Acquired
2025-11-17Corporate Round· $75M
2025-08-06Corporate Round· $50M
Leadership Team
Aaron Elliott
Chief Executive Officer
Charles Roberts
Co-Founder
Recent News
2025-12-12
2025-12-06
Company data provided by crunchbase