Sr Associate– Image Analysis & Digital Pathology
Amgen (company site, opens in a new tab)3+ yrsHyderabadOn-siteDirect career pageEst. 18–30 LPA
Posted 7h ago
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Job description
Structured overview of role & requirements
About This Role
- Develop and apply image analysis, computer vision, and machine learning methods for digital pathology and spatial biology datasets.
- Design, implement, and deploy scalable, reproducible workflows for whole-slide imaging and multiplex spatial omics using Python and ML/DL frameworks (PyTorch, TensorFlow).
- Collaborate with multidisciplinary teams including pathologists and translational scientists to generate and interpret quantitative image-derived biomarkers for research and precision medicine.
Minimum Requirements
- PhD or MS in Computer Science, Biomedical Engineering, Computational Biology, Bioinformatics, Electrical Engineering, Applied Mathematics, or related quantitative discipline.
- Proven experience developing, validating, and deploying computer vision and deep learning algorithms with biomedical imaging data (pathology preferred).
- Proficiency in Python and ML frameworks such as TensorFlow or PyTorch.
- Work Experience Required: Preferred 3+ years in computational imaging, digital pathology, or medical image analysis.
Ideal Candidate Profile
- Experienced in handling complex pathology imaging modalities including H&E, IHC, multiplex immunofluorescence, and spatial transcriptomics.
- Familiarity with digital pathology platforms and tools such as QuPath, HALO, Visiopharm, or OpenSlide.
- Strong ability to collaborate across computational, clinical, and translational research teams with proven contributions in translational research or scientific publications.