Are you ready to apply your data science expertise within the Early Computational Oncology team to impact AstraZeneca oncology drug projects throughout the research and development 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. 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 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

The Early Computational Oncology team is growing to meet the challenges of pre-clinical and clinical big data generation initiatives in AZ Oncology.   There exists an opportunity for a talented and motivated data scientist with strong expertise in biostatistics to join the team as a Senior Scientist focusing on translating cutting edge image analysis features developed by our Munich based Computational Pathology group into meaningful drug project impact. To do this you will:

• Work as part of multi-disciplinary teams spanning pathology, bioinformatics and translational medicine to understand their scientific and technical challenges and proactively impact these.

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

• Use your familiarity with cancer biology/drug discovery to convert these into actionable insights driving discovery and development of the next generation of cancer medicines.

• Discover, design and implement innovative ways to identify and visualise meaningful patterns in complex data.

• Work with our bench scientists to proactively influence the generation of data assets as part of a data generation strategy.

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

• Collaborate with industry and academia.

• Publish your work in high impact journals.

Essential for the role

• Relevant PhD (or equivalent graduate degree plus proven applied experience), combining technical expertise in applied biostatistics, computational biology or data science.

• Expertise in developing and applying novel algorithms to biological problems.

• A deep understanding of the molecular mechanisms driving cancer or immunological disorders.

• R and/or Python programming and visualisation expertise.

• Skilled in effective communication of complex data to a non-expert.

• Enthusiasm and persistence in the application of analytic methods to complex biological problems.

• Familiarity with the Unix environment and high performance computing environments.

• Familiarity with the principles of data management including curation, data engineering, FAIR and reproducible research practices.

• Capability to successfully manage multiple simultaneous projects.

• Working effectively within cross-disciplinary science teams, including with functional leaders.

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

Desirable for the role

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

• Experience with oncology related imaging datasets (TCGA, Camelyon), their processing and analysis.

• Understanding of machine learning and deep learning methods applicable for building models based on images, for example CNN & FCN as well as TensorFlow, PyTorch, OpenCV, ITK, scikit-image etc and the processing of data on GPUs.

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Competitive salary package and benefits

Close Date: 31/05/2021

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.