Senior Scientist, Computer Vision & AI(m/w/x)

# Senior Scientist, Computer Vision & AI (m/w/d) **AZ Computational Pathology GmbH - Munich** | **Full time** Are you passionate about computer vision and deep learning? Do you aspire to leverage your expertise in the discovery and development of cancer biomarkers? At AstraZeneca Computational Pathology, we're seeking a **Senior Scientist to join our Computer Vision and AI team**. In this pivotal role, you'll have the opportunity to develop cutting-edge computer vision algorithms specifically designed for the analysis of digital pathology images. Your contributions will directly impact our Oncology portfolio by advancing the discovery of novel biomarkers. Be a part of our quest to push the boundaries of cancer treatment and make a meaningful difference in the lives of patients worldwide. **What you’ll do** * Research, develop and release latest artificial intelligence methods to improve on the accuracy and the few-shot capability of our current image analysis methods as well as to extend our current AI-based biomarker analysis capabilities. * Applying such methods, build research use only (RUO) image analysis solutions for the retrospective analysis of clinical datasets to inform drug and biomarker development programs. * Disseminate knowledge, best practices and developed algorithms and software tools to internal audiences via project meetings, seminars and documentation as well as to the external academic community with conference presentations and journal publications. * Collaborate closely with project stakeholders and interfacing functions such as biomarker development, pathology, quality assurance, data management, software development, data science and bioinformatics. **Essential for the role** * Ph.D. degree in computer sciences, mathematics, physics, bioinformatics or comparable degree; or equivalent experience e.g. M. Sc. and ≥ 2-3 years working experience on machine learning and computer vision in industry. * Advanced knowledge of state-of-the-art deep learning models and architectures for computer vision, including experience working on weakly supervised learning and/or semantic / instance / panoptic segmentation. * Good programming skills in Python and good knowledge of the most common scientific computing libraries (e.g. NumPy, pandas, scikit-learn, SciPy, OpenCV) and machine learning frameworks (PyTorch, torchvision). * Knowledgeable of best practices for software development (e.g. docstring, unit testing, CI pipelines, Gitlab/GitHub) as well as for the development, validation and release of models (e.g. data splitting, model testing, hyperparameter tuning). * Proven track record of scientific publications, conference contributions in field of machine learning and/or medical image processing (e.g. MICCAI, MIDL, ISBI) and/or delivered AI solutions in scientific industry projects. * Talent to conceptualize, build, communicate and implement novel scientific ideas aligned with the drug development and biomarker strategies. **Beneficial for the role** * Working experience with digital pathology and/or medical (e.g. PET / MRI / CT) images. * Working experience with at least one of the following: foundation models, transformers, semi-supervised learning, self-supervised learning, generative AI (e.g. GAN / Diffusion models). **Date Posted** 07-Mai-2025 **Closing Date** AstraZeneca embraces diversity and equality of opportunity.  We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills.  We believe that the more inclusive we are, the better our work will be.  We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics.  We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.