At AstraZeneca, we work together across global boundaries to make an impact and find answers to challenges. We do this with the utmost integrity even in the most difficult situations because we are committed to doing the right thing. We continuously forge partnerships that help pursue world-class medicines in new ways, combining our people’s outstanding skills with those of people from all over the globe!!

AstraZeneca are recruiting for an experienced Principal AI Scientist to work within our Computational Pathology, Oncology team in Munich. Within this exciting position you will assume technical leadership on projects while  developing and applying cutting edge technologies in data science.

Key Responsibilities;

• Extract knowledge and insights from image-based data and other datasets (e.g., genome, proteome, transcriptome) in order to support drug development and biomarker discovery in Early Oncology through a range of data preparation, modelling, analysis and/or visualization techniques.
• Apply sophisticated expertise in machine learning, artificial intelligence, statistical modelling and/or applied mathematics to develop and operate innovative data science solutions.
• Assume technical leadership role in projects or segments of large-scale programs, while applying specialist knowledge in data science.
• Design and development of data analysis solutions serving the goals of drug development projects, including requirements engineering, development, implementation, deployment and result delivery.
• Close collaboration with interfacing functions within Early Oncology, such as pathology, translational sciences, software development.
• Contribute to data science algorithm libraries, and enabling tools and components.
• Effectively engage with the technology development and AI science community within AstraZeneca, and contribute to scientific conferences and journal publications.

Key skills and experience;

• M. Sc. or Ph.D. degree in computer science, mathematics, physics, bioinformatics or comparable degree, with a focus on data analysis by artificial intelligence.
• Knowledgeable of state-of-the-art data science methodologies and technologies. Experience in image analysis is a plus.
• Proven track record of major scientific publications, conference contributions and/or delivered AI solutions in scientific industry projects in the field of machine learning for data analysis.
• Experienced at working on data analysis methods (using e.g. Python/R) and AI technologies.
• Applied knowledge on clinical biostatistics e.g. Kaplan Meier analysis, feature selection, cross-validation and multiple testing.
• Accountability for sub-project management and delivery in a multi-national, multi-disciplinary project in academia or industry.
• Working experience with analysis of translational science data in the biopharmaceutical industries is beneficial.
• Scientific excellence and passion to work on innovative ways to data analysis 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 machine learning e.g. weakly supervised learning, semi-supervised learning, generative and adversarial learning, self-supervised learning, attention learning.

Date Posted

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.