2 days ago
Basel, SwitzerlandSenior
Responsibilities
- Design, develop, test, and maintain scalable AI/ML scientific web applications and backend pipelines for high-throughput imaging data.
- Build, evaluate, and fine-tune computer vision and deep learning models for cell segmentation, classification, phenotypic profiling, tissue segmentation, feature extraction, and image registration.
- Create tools, benchmark datasets, and processes to evaluate model quality, robustness, and drift over time.
- Develop and maintain cloud infrastructure and data pipelines for large-scale multidimensional imaging datasets.
- Contribute to architectural decisions, code reviews, and MLOps process improvements for computer vision models.
- Collaborate with computational scientists, biologists, bench scientists, AI/ML experts, product leaders, software engineers, and other cross-functional partners.
Requirements
- PhD, or a master’s degree with 3–5 years of experience, or a bachelor’s degree with 4–7 years of experience in computer science, biomedical engineering, electrical engineering, computational biology, or a related technical field focused on machine learning engineering and computer vision.
- Strong proficiency with AI/ML frameworks and computer vision libraries such as PyTorch, TensorFlow, OpenCV, MONAI, Scikit-Image, torchvision, Napari, or Bio-Formats.
- Deep expertise in computer vision algorithms including CNNs, Vision Transformers, UNet, SAM/Segment Anything, and Cellpose.
- Expert knowledge of machine learning theory, image processing, object detection, instance segmentation, and quantitative image analysis.
- Demonstrated experience with high-dimensional scientific imaging data such as microscopy, digital pathology whole slide images, high-content screening, or multiplexed imaging.
- Experience with Kubernetes, relational and NoSQL databases, object storage, and cloud-native architectures, ideally using AWS.
- Preferred experience with multimodal data fusion, pharma or biotechnology research environments, workflow automation, GenAI, Vision-Language Models, or AI agents.
- Excellent communication skills and ability to build trusted partnerships with scientific collaborators, bioimage analysts, and cross-functional teams.
Tech Stack
Categories
About Roche
Roche is a Swiss healthcare company that develops and sells prescription pharmaceuticals and in vitro diagnostic systems for hospitals, laboratories, and clinicians. Its business spans two core divisions—Pharmaceuticals and Diagnostics—with strengths in oncology, immunology, neuroscience, infectious diseases, and diabetes care. Founded in 1896 and headquartered in Basel, Switzerland, Roche also advances personalized healthcare by pairing therapies with companion diagnostics.