Principal Image Analysis Scientist, Digital Pathology

Amgen UK

India
Not specified; not specified; benefits include fle...
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Phd or master's degree in life sciences or computer science
8-10 years of experience in computer vision and deep learning
Proficiency in python and ml frameworks like tensorflow or pytorch
** Amgen UK is seeking a Principal Image Analysis Scientist for their Digital Pathology team in India, focusing on advancing AI applications in medical image analysis to enhance precision medicine. The role requires expertise in computer vision, machine learning, and biomedical imaging, with an emphasis on developing algorithms for image segmentation, classification, and prediction. **

Job Summary

  • The role focuses on developing cutting-edge machine learning and AI-based algorithms to drive precision medicine strategies in digital pathology.
  • Candidates will collaborate with pathologists and global teams to translate clinical challenges into computational problems and ensure reproducibility.
  • Amgen offers a collaborative global team environment with opportunities for professional growth, training, and flexible work arrangements.

Matching Summary

Match Score: 75

** Amgen UK is seeking a Principal Image Analysis Scientist for their Digital Pathology team in India, focusing on advancing AI applications in medical image analysis to enhance precision medicine. The role requires expertise in computer vision, machine learning, and biomedical imaging, with an emphasis on developing algorithms for image segmentation, classification, and prediction. **

Salary

Not specified; Not specified; Benefits include flexibility and career development

Skills & Requirements

Must-have

  • PhD or Master's degree in Life Sciences or Computer Science
  • 8-10 years of experience in computer vision and deep learning
  • Proficiency in Python and ML frameworks like TensorFlow or PyTorch
  • Experience with biomedical imaging data and histopathology
  • Proven track record in deploying advanced computer vision algorithms

Nice-to-have

  • Familiarity with commercial platforms like HALO, Visiopharm, or QuPath
  • Strong publication record in computational imaging or AI
  • Background in spatial omics and molecular profile integration
  • Solid understanding of precision medicine and patient stratification
  • Adaptability to learn new technologies and methodologies

Key Requirements

  • PhD or Master's degree required
  • 8-10 years of relevant industry experience
  • Expertise in segmentation, object detection, and classification
  • Experience with large-scale data management and cloud environments

Work Rights

Not specified

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