Senior Scientist – Image Analysis & Digital Pathology
- Compensation
- Not disclosed
- Location
- India - Hyderabad
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Not specified
- Experience
- Not specified
- Category
- Not specified
- Posted
Skills
Must have
- 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.
- Demonstrated experience working with biomedical imaging data (pathology preferred).
- Proven track record in developing, validating, and deploying advanced computer vision and deep learning algorithms, including contributions to released products.
- Proficiency in Python and common ML frameworks (e.g., TensorFlow, PyTorch).
- Deep understanding of image analysis methods such as segmentation, object detection, and classification, ideally within digital pathology (e.g., histopathology, tissue imaging) and/or spatial omics.
- Familiarity with large-scale data management and cloud-based computational environments.
- Strong communication and interpersonal skills
Full description
Career Category
Scientific
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Job DescriptionJob Description:
At Amgen, our shared mission—to serve patients—drives all that we do. It is key to our becoming one of the world’s leading biotechnology companies. We are global collaborators who achieve together—researching, developing, and delivering ever-better products that reach over 10 million patients worldwide.
We are seeking a highly motivated Senior Scientist – Image Analysis & Digital Pathology to join our Computational Imaging and Digital Biomarkers team. The successful candidate will contribute to the development and application of computational pathology and AI/ML methods to support translational research, biomarker discovery, and precision medicine initiatives across therapeutic areas.
The candidate will work closely with pathologists, data scientists, translational scientists, and software engineers to build scalable image analysis workflows and generate quantitative insights from complex imaging datasets including whole-slide pathology images and spatial biology platforms.
Live – What you will do
In this vital role, you will:
- Develop and apply image analysis, computer vision, and machine learning methods for digital pathology datasets.
- Design and implement analysis pipelines for whole-slide imaging (WSI), H&E, IHC, multiplex immunofluorescence, and spatial omics datasets.
- Build reproducible and scalable workflows using Python and modern ML/DL frameworks such as PyTorch or TensorFlow.
- Perform tissue segmentation, cell phenotyping, feature extraction, and spatial analysis using state-of-the-art computational approaches.
- Collaborate with pathologists and translational teams to interpret image-derived biomarkers and biological findings.
- Contribute to evaluation, validation, and benchmarking of image analysis algorithms and workflows.
- Support deployment and operationalization of computational imaging pipelines in cloud or high-performance computing environments.
- Stay current with advances in computational pathology, AI/ML, and spatial biology technologies.
Win – What we expect of you
Basic Qualifications:
- 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.
- Demonstrated experience working with biomedical imaging data (pathology preferred).
- Proven track record in developing, validating, and deploying advanced computer vision and deep learning algorithms, including contributions to released products.