Freenome

Freenome

Staff Machine Learning Scientist

Brisbane, California · Staff+

Sponsorship not specified$200k-$284kDetected 5 days ago
PythonJavaC++AlgorithmsGCPAzureDockerMachine LearningDeep LearningTensorFlowPyTorchData AnalysisLLMsStatisticsComplianceManual TestingBioinformaticsNGSResearchCommunicationCollaborationGeneralized Linear Models

About the role

  • They will be responsible for the development of algorithms for early, blood-based detection tests for cancer.
  • The role reports to the Director, Machine Learning Science.
  • This role can be a Hybrid role based in our Brisbane, California headquarters (2-3 days per week in office), or remote.

Responsibilities

  • 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.
  • Work closely with ML Engineering partners to ensure that Freenome's computational infrastructure supports optimal model training and iteration.
  • Experience in building DL models for genomic data, with knowledge of state-of-the-art DNA foundation models.

Requirements

  • 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.
  • 6+ years of postdoc or post-PhD industry experience achieving impactful results using relevant modeling techniques.
  • 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 one or more ML frameworks such as
  • 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.
  • Deep domain-specific experience in computational biology, genomics, proteomics or a related field.

Compensation

  • The US target range of our base salary for new hires is $199,675 - $283,500.

Benefits

  • Family & Medical Leave Act (FMLA)
  • 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.
  • Expertise demonstrated by research publications or industry achievements, in driving independent research in applied machine learning, deep learning and complex data modeling.
  • Extensive experience with training paradigms like supervised learning, self-supervised learning, and contrastive learning.
  • Benefits and additional information:

Company info

  • We invite you to check out our career page @ freenome.com/job-openings/ for additional company information.

Equal opportunity

  • Equal Employment Opportunity (EEO)
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This listing is sourced directly from Freenome's careers page and normalized into a canonical job model.