Senior Scientist – Image Analysis & Digital Pathology
Amgen (company site, opens in a new tab)3+ yrsHyderabadOn-siteDirect career pageEst. 20–45 LPA
Posted on 31 Aug
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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 datasets, including whole-slide imaging and spatial omics.
- Build reproducible and scalable workflows using Python and ML/DL frameworks (PyTorch, TensorFlow) for tissue segmentation, cell phenotyping, feature extraction, and spatial analysis.
- Collaborate with pathologists and translational teams to generate and interpret image-derived biomarkers; support validation, benchmarking, and deployment of computational imaging pipelines in cloud or HPC environments.
Minimum Requirements
- PhD or MS in Computer Science, Biomedical Engineering, Computational Biology, Bioinformatics, Electrical Engineering, Applied Mathematics, or related quantitative discipline.
- Strong background in computer vision, image analysis, and machine learning/deep learning with biomedical imaging data (pathology preferred).
- Proficiency in Python and common 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 building and deploying advanced computer vision and deep learning algorithms specifically in digital pathology or spatial biology.
- Proficient in designing scalable, reproducible image analysis pipelines integrating whole-slide imaging and multiplex spatial datasets.
- Capable of collaborating effectively with interdisciplinary teams including pathologists, translational scientists, and software engineers in scientific research settings.