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 Associate Director, Image Analysis to work within our Computational Pathology, Oncology team. Within this exciting position you will assume technical leadership on projects while developing and applying cutting edge technologies in image data science.

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. 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.

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 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.

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

• Create image analysis and data science solutions serving the goals of drug development projects, including requirements engineering, development, implementation, deployment and result delivery.

• Extract knowledge and insights from image 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 image analysis, 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.

• Close collaboration with interfacing functions within Early Oncology, such as pathology, translational sciences and software development.

• Contribute to image analysis and data science algorithm libraries as well as enabling tools and components.

• Effectively engage with the technology development and AI science community within AstraZeneca, and contribute to scientific conferences and journal publications.

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; Experience in (bio-)medical image analysis is a plus

• Knowledgeable of state-of-the-art deep learning and image processing methodologies, applied machine learning for building and validation of models in a computer vision setting as well as data science methodologies and technologies

• Programming skills in Python and knowledge in computer vision libraries (such as PyTorch, Keras, TensorFlow, Scikit-Image etc.) and data analysis libraries (e.g. Pandas, Scikit-Learn etc.)

• Proven track record of major 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.

• 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 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 e.g. weakly supervised learning, semi-supervised learning, generative and adversarial learning, self-supervised learning, attention learning.

Competitive salary package and benefits

Close Date: 14/09/2021

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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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.