Data Manager, AI Research (m,w,d) – AstraZeneca – München



Vollständige Stellenbeschreibung

Are you ready to apply your data management expertise during this opportunity within the Early Computational Oncology team to impact AstraZeneca oncology drug projects through the research, development pipeline and production pipeline? The global Early Computational Oncology group delivers insightful analyses of data across AstraZeneca’s primary areas of focus in Oncology: immuno-oncology, DNA damage response, tumour drivers & resistance, epigenetics, cell therapies and antibody-drug conjugates. The group develops cutting edge capabilities to facilitate computational advances in finding cures for cancer within clinical trials. AstraZeneca is a company that always follows the science and turns ideas into life changing medicines. If this sounds like a role you are excited about AstraZeneca might be the one for you!


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. But we’re more than one of the world’s leading pharmaceutical companies. At AstraZeneca we’re dedicated to being a Great Place to Work. Where you are empowered to push the boundaries of science and unleash your entrepreneurial spirit. There’s no better place to make a difference to medicine, patients and society.


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 AstraZeneca’s priorities, it’s important to us that you bring your full self to work every day. To help you maintain your best self, here’s a sneak peek into some of the things this site provides for you: After-work events, Lunch & Learns, 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.


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

  • Develop, implement and support computational pathology biomarker solutions as a data manager grounded in the area of image analysis and computational pathology designed to drive the interrogation of datasets for insights in scientific and clinical application areas within defined project scope. This includes the management and integration of data from multiple sources and modalities (e.g. imaging data, multi-omics, patient and sample (meta)data, real world evidence, clinical trials, image and data analysis results and the quality control of image analysis algorithms.

  • Ensure the quality of data and support the validation of computational and analytical methods to solve problems in the area of biomarker quantification on whole slide images aligned to the overall functional policies and standards through appropriate data management (pooling, splitting, curation, analysis) and quality control.

  • Research and develop new software tools, approaches and processes which guide decision-making within project parameters to improve efficiency, establish FAIR principles and promote automation and scalability.

  • Build effective relationships with established range of stakeholders (such as machine learning and data scientists, data wranglers and engineers, software developers and clinical and biological researchers) to ensure utilization and value of information resources and services. Clearly and objectively communicate results, as well as their associate uncertainties and limitations.

  • Develop, implement and maintain required tools and algorithms in a manner which meets regulatory and evidential requirements within the defined project scope.

  • Develop, maintain and apply ongoing knowledge and awareness in trends, standard methodology and new developments in data management and quality control for computational pathology.

  • Implement and own working practices and related trainings to ensure that image analysis algorithms and automated scoring methods are delivered to robust quality standards in close collaboration with Quality Management and IT.

  • Generate high-quality ground truth on whole slide images to support the development of machine learning algorithms under pathologist supervision.

  • Provide biology, tissue and biomarker knowledge to support the development of laboratory assays optimized for image analysis.

Essential for the role

  • Master / PhD (or equivalent years of experience) in computational biology, computer science, biology, oncology/immune oncology, biochemistry, chemistry, genetics or a related discipline.

  • At least 2 years of experience in relevant application domain (e.g. cell and molecular biology, disease progression and clinical treatment, digital pathology).

  • Good understanding of quality control processes and the used metrics is expected. Understanding of the design, development, optimization, and scaling of informatics applications and solutions is desirable, including the management of software and related data in software repositories such as Github.

  • Experience with data generated from microscopy-based techniques and related data management (standardization, curation, storage).

  • Experience in IHC assay development, optimization and digital slide scanning.

  • Understanding of lab workflows, IHC assay optimization and biomarker science in drug development.

  • Diligence, strong teamwork and multitasking capability.

  • Excellent oral and written communication skills in English.

Desirable for the role

  • Practical experience in software development using Python and/or R in the fields of data curation, database access, or quality control. Knowledge of visual dashboard programming is a plus.

  • Comfortable working in high performance computing environment or cloud environment.

  • Excellent MS Office skills (previous experience working with databases / image analysis software beneficial).

  • Previous experience working in an international environment.

  • Good business analysis and consultancy skills.

Competitive salary package and benefits

Close Date: 05/08/2022

Why AstraZeneca?

At AstraZeneca we’re dedicated to being a Great Place to Work. Where you are empowered to push the boundaries of science and unleash your entrepreneurial spirit. There’s no better place to make a difference to medicine, patients and society. An inclusive culture that champions diversity and collaboration, and always committed to lifelong learning, growth and development. We’re on an exciting journey to pioneer the future of healthcare.

So, what’s next?

  • Are you already imagining yourself joining our team? Good, because we can’t wait to hear from you.

  • Are you ready to bring new ideas and fresh thinking to the table? Brilliant! We have one seat available and we hope it’s yours.

  • If you’re curious to know more then please reach out to Louise Bennett

Where can I find out more?

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