Senior Scientist, Imaging Artificial Intelligence

**ABOUT ASTRAZENECA**

AstraZeneca is a global, science-led, patient-focused biopharmaceutical company that focuses on the discovery, development and commercialisation of prescription medicines for some of the world’s most serious diseases.

**SITE DESCRIPTION**

Welcome to Computational Pathology Munich, one of over 400 sites here at AstraZeneca, providing a collaborative environment where everyone feels comfortable and able to be themselves. Here’s a sneak peek into what the site offers: after-work events, bright and spacious environment, sustainable office working environment, networking events, family and childcare support and of course the alps around the corner for hiking, biking and skiing.

**BUSINESS AREA**

Be part of fulfilling our ambition to be world leaders in Oncology. We are already the fastest growing team within AstraZeneca and across the industry, and there are countless new indications and targets in our game-changing pipeline. We deliver this value through launch excellence, commercial effectiveness and maximising the lifecycle. By leveraging our commercialised portfolio, we are confident we can change the practice of medicine and redefine cancer treatment. We’re brave disruptors - entrepreneurial, courageous and pioneering in our approach. Here you have the opportunity to step up, take personal accountability and lead changes in our ever-evolving environment. With pace and drive, comes trust that we will get it done. Embrace the freedom to create and expand your horizons. Always backed and supported by pioneering leaders, this is the place to build a world-class career that’s meaningful and rewarding. Here we’re on a journey to becoming digitally enabled, to discover new ways of offering better solutions to our patients. Join the team with a vision to use data as a tool, to build a better, deeper, more personal understanding of the people we’re helping. To ultimately deliver better outcomes for them - through dynamic omnichannel content, personal relationships and experience.

**What you’ll do**

Scope of responsibilities include research and development on AI based solutions for multiplexed tissue imaging supporting drug development and biomarker discovery programs, in close collaboration with interfacing functions at global AstraZeneca, in active scientific exchange with the computer vision and AI community.
- Generate decisive data based on the whole slide image analysis of multiplexed imaging modalities to advance the Early Oncology drug and biomarker development programs.
- Contribute to method and software research and development across multiple functions in the larger organization.
- Disseminate knowledge, best practices and developed algorithms and software tools to internal audiences in project meetings, AI seminars, documentation and code libraries, and to the external academic community with conference presentations and journal publications.
- Collaborate closely with project stakeholders and interfacing functions such as pathology, quality assurance, data management, software development, data science and bioinformatics.
- Comply with the AstraZeneca General Laboratory Standard to support product quality and regulatory compliance in the development, manufacture and distribution of Active Pharmaceutical Ingredients, Medicinal Products and Devices.

**Essential for the role**
- M. Sc., Ph.D. degree in computer sciences, mathematics, physics, bioinformatics or comparable degree, with a focus on computer vision and image-derived data analysis or equivalent
- Experience in building and deploying computer vision pipelines, previous experience with (bio-)medical images, especially digital pathology whole slide images, is a strong plus
- Experience in at least one aspect of object detection/instance segmentation/panoptic segmentation, self-/weakly-/semi
- supervised learning, image-to-image translation or image normalization
- Experience in Python. Knowledge of relevant libraries for computer vision (e.g. PyTorch, Keras, TensorFlow, Scikit-Image, openCV etc.) and data analysis (e.g. Pandas, Scikit-Learn, numpy/scipy etc.)
- Experience in best practices for software development incl. code formatting, unit testing, version control, experiment tracking, CI pipelines
- Track record of scientific publications, conference contributions and/or delivered AI solutions in scientific industry projects in the field of computer vision and/or machine learning for data analysis.
- Scientific excellence and passion to work on innovative ways to address image data science challenges in Early Oncology.
- Talent to conceptualize, build, communicate and implement novel scientific ideas aligned with the drug development and biomarker strategies.
- Keeps pace with the latest advances in the field of image analysis and machine learning

**Desirable for the role**
- Project experience in analyzing multiplexed immunofluorescence images, and correlating image features with response to therapy