Are you ready to apply your software development skills and engineering expertise within the AI and Analytics – Imaging team to impact AstraZeneca oncology drug projects throughout the research and development pipeline? The global AI and Analytics – Imaging group under Production Informatics delivers software tools, ready to use deep learning-based image analysis and a deep learning framework for the analyses of digital pathology images across AstraZeneca’s primary areas of focus in Oncology. The group develops cutting edge capabilities to facilitate computational advances in finding cures for cancer. 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!

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. 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

This is an opportunity for a talented and motivated software developer with strong expertise in generating high quality software application to join the team as an AI Engineer. You will focus on developing cutting edge image analysis software, drive automation and define workflow standards by supporting the the drug project teams impacting AZ drug pipelines. To do this you will:

Work in a multi-disciplinary set up spanning pathology, bioinformatics and translational medicine to understand their scientific and technical challenges and proactively impact these.

  • Optimise performance and quality of existing software components as well as developing high quality software applications.

  • Work with our scientists to proactively automate workflows and train them in the tools/best practices critical for developing AI based image analysis.

  • Apply your strong statistical/analytical skills to development novel metrics derived from images.

  • Use your expertise in developing and applying novel algorithms to biological problems.

  • Share code, train peers and bench scientists in the tools critical to interpreting complex data.

  • Keep pace with the latest advances in the field of image analysis, software development and machine learning.

Essential for the role

  • Relevant PhD, M. Sc (or equivalent graduate degree plus proven applied experience), combining: Technical expertise in developing high quality software; Expertise in developing and applying novel technologies to analyse biological images.

  • Experience working with Python (related technologies) and applying software development standards.

  • Technical expertise in processing and analysing images at scale.

  • Familiarity with image analysis tools and libraries (e.g., TensorFlow, PyTorch, OpenCV, ITK, scikit-image etc).

  • Good knowledge of TCP/IP, multithreading and inter-process communications. 

  • Experience in designing RESTful APIs and Webservices with server components. 

  • Enjoy reviewing code of peers, while being detailed oriented and result driven.

  • Talent for the conceptualisation of problems and analytical thinking.

  • Collaborative and open to new ideas, loves to work on a high-performing team.

Desirable for the role

  • Experience contributing to the research community through publication, conferences and open-source code projects.

  • Familiarity with imaging modalities (WSI, CT, MRI), especially histopathology images (H&E, IHC, mIF).

  • Experience and following of TDD principles. 

  • Experience with developing of high-performant systems. 

  • Good knowledge of database technologies (e.g. SQL, NoSQL, big data technologies).

  • Experience of cloud technologies (e.g., AWS).

  • Understanding of machine learning and deep learning methods applicable for building models based on images, for example CNN, FCN.

Competitive salary package and benefits

Close Date: 07/09/2021

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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