Associate Director â Computer Vision & AI (m/w/d)
Associate Director â Computer Vision & AI (m/w/d)
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Job Description
AstraZeneca is a global scienceled patientfocused biopharmaceutical company that focuses on the discovery development and commercialisation of prescription medicines for some of the worlds most serious diseases. But were more than one of the worlds leading pharmaceutical companies.
SITE DESCRIPTION Munich Germany
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 is at the core of AstraZenecas priorities its important to us that you bring your full self to work every day. To help you maintain your best self heres a sneak peek into some of the things this site provides for you: Afterwork events lunch & learns spacious environment sustainable office working environment events family and childcare support and of course the Alps around the corner for hiking biking and skiing.
Job Description
Serving the goals of drug development projects create image analysis solutions to generate decisive data based on the analysis of H&E immunohistochemistry and multiplexed immunofluorescence histopathology whole slide images
Leadership role in the research development and application of latest artificial intelligence methods
Assume an image analysis leadership role in projects or segments of largescale drug development programs
Disseminate knowledge best practices and developed algorithms and software tools to internal audiences with 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 translational science 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
Qualifications:
Ph.D. degree in computer sciences mathematics physics bioinformatics or comparable degree with a focus on deep / machine learning and computer vision; or equivalent experience e.g. 35 years in industry
Additional working experience in the field of medical and/or biomedical image analysis as postdoc or in industry
Expert knowledge of stateoftheart deep learning models and architectures for computer vision in particular for object detection semantic segmentation instance segmentation and weaklysupervised learning
Advanced programming skills in Python and good knowledge of the most common scientific computing libraries (e.g. numpy pandas scikitlearn scipy opencv) and machine learning frameworks (e.g. tensorflow pytorch).
Good knowledge of best practices for software development (e.g. docstring unit testing CI pipelines) 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 (e.g. NeurIPS CVPR ICML) and/or delivered AI solutions in scientific industry projects
Cability to assume accountability for subproject management and delivery in a multinational multidisciplinary project in academia or industry
Talent to conceptualize build communicate and implement novel scientific ideas aligned with the drug development and biomarker strategies
Experience with training and deploying computer vision foundation wholeslide image representation learning and/or multimodal fusion of different (imaging) modalities using stateoftheart approaches (e.g. CLIP) is a strong plus
Working experience with at least one of the following: semisupervised learning selfsupervised learning fewshot learning generative learning selfattention learning (e.g. Transformers) active learning survival learning graph neural networks and / or domain adaptation learning.
Benefits
Individual development opportunities and a focus on lifelong learning.
A diverse inclusive and unbiased work environment.
Trust appreciation and space for cocreation.
Wellbeing and Mobility Benefits
Date Posted
15Mai2025Closing 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 industryleading 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 nondiscrimination in employment (and recruitment) as well as work authorization and employment eligibility verification requirements.
Required Experience:
Director
Employment Type
Full-Time
