Computational Pathology Scientist Job at Gilead Sciences, Foster, CA

  • Gilead Sciences
  • Foster, CA

Job Description

Responsibilities

  • Apply and validate computational pathology workflows and computer vision tools to histopathological endpoints and imaging biomarkers
  • Design analytic strategies and collaborate with scientists to extract tissue-based endpoints from imaging data
  • Prepare and curate large imaging datasets for project analyses and model development
  • Lead projects from planning through execution, quality control, and delivery of organized outputs
  • Communicate findings and recommendations to technical and non-expert stakeholders with clear alignment on priorities and risks

Requirements

  • Bachelor's degree with six years' experience, or Master's degree with four years' experience
  • Proficiency in Python and/or MATLAB for image processing and computer vision applications
  • Experience with deep learning frameworks such as PyTorch, TensorFlow, or MONAI
  • Knowledge of medical image data formats and whole-slide imaging analysis challenges
  • Understanding of classical machine learning algorithms and statistical foundations
  • Experience with commercial or open-source pathology image-analysis platforms
  • Publication record in deep learning, machine learning, or digital pathology preferred

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