Senior AI Engineer, Oncology Data Science Platforms (m,w,d)

AstraZeneca UK

Location: Cambridgeshire

Job Type: Full time


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. If this sounds like a role you are excited about, AstraZeneca might be the one for you!

About AstraZeneca

At AstraZeneca, we put patients first and strive to meet their unmet needs worldwide. Working here means being entrepreneurial, thinking big and working together to make the impossible a reality. If you are swift to action, confident to lead, willing to collaborate, and curious about what science can do, then you’re our kind of person!

Oncology Data Science Platforms

The Oncology Data Science – Data, Analytics, and AI Platforms (ODSP) team comprise multiple groups across the Cambridge UK, Boston MA, Gaithersburg MD, and Munich DE sites. ODSP develops technology, software, and data infrastructure to advance our Oncology data science. Our vision is to evolve data science into a driver of innovation within Oncology. We do this by creating a strategic culture that values our data as a true business asset, organizing our data so that it’s accessible and easy to find, integrated, and re-usable for Humans & AI, and building the best data computational tools to support scientific decision making.

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 drug project teams impacting AZ drug pipelines.


  • 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.

Education, Qualifications, Skills and Experience

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.

  • 3+ years of experience working with Python (related technologies) and applying software development standards.

  • 2+ years of experience in designing RESTful APIs and Webservices with server components. 

  • 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. 

  • 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.

  • GxP experience

  • QMS experience

  • IVD/MD would be a plus

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.​

Competitive salary and benefits package on offer

Where can I find out more?

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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.

You’ve got this!