FREE ACCESS
5,000–10,000 jobs/day
See all jobs on JobTailor
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
AI Research Scientist – Medical Imaging Analysis
AstraZenecaAI Research Scientist focused on cutting-edge medical imaging analysis at AstraZeneca. Developing AI models for multimodal medical imaging data in collaboration with clinical partners.
Tech Stack
Tools & technologiesNumpyPythonPyTorchScikit-Learn
About the role
Key responsibilities & impact- Develop and refine deep learning models for medical imaging analysis, including CT, MRI, and whole-slide pathology images
- Implement and optimize state-of-the-art computer vision architectures (e.g., 3D Swin Transformers, attention-based mechanisms) for medical image understanding
- Work with multimodal data integration, combining imaging with clinical and molecular data
- Preprocess and quality-control large-scale medical imaging datasets, ensuring data standardization and artifact detection
- Implement multiple instance learning (MIL) approaches for weakly-supervised histopathology analysis
- Conduct model validation and performance evaluation using rigorous statistical methods
- Collaborate with clinical partners (oncologists, pathologists, radiologists) to understand domain requirements and validate model outputs
- Work cross-functionally with global team members across different time zones and locations
- Contribute to technical documentation, research papers, and presentations
- Stay current with latest advances in medical imaging AI and foundation models
Requirements
What you’ll need- PhD in Computer Science, Biomedical Engineering, Electrical Engineering, or related field (or Master's degree with exceptional relevant experience)
- Strong expertise in deep learning frameworks, particularly PyTorch
- Proven experience with medical imaging analysis (CT, MRI, pathology, or related modalities)
- Solid understanding of computer vision architectures: CNNs, Vision Transformers, attention mechanisms
- Experience with 3D medical image processing and analysis
- Proficiency in Python and scientific computing libraries (NumPy, SciPy, scikit-learn)
- Knowledge of medical imaging preprocessing: normalization, registration, segmentation
- Strong analytical and problem-solving skills
- Excellent communication skills in English; ability to collaborate with international teams
- Ability to work independently and as part of a collaborative team
Benefits
Comp & perks- Opportunity to work on impactful medical AI projects with real clinical applications
- Collaboration with leading clinical institutions and research partners globally
- Access to state-of-the-art computing resources and large-scale medical imaging datasets
- Cross-functional teamwork with domain experts in oncology, pathology, and radiology
- Professional development opportunities including conferences and publications
- Dynamic, innovative work environment with cutting-edge AI research
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
deep learningcomputer visionPyTorchCNNsVision Transformers3D medical image processingPythonNumPySciPyscikit-learn
Soft Skills
analytical skillsproblem-solving skillscommunication skillscollaborationindependence
Certifications
PhD in Computer SciencePhD in Biomedical EngineeringPhD in Electrical EngineeringMaster's degree