Do you have expertise in research and development and a passion for AI based solutions for multi/hyperspectral imaging supporting drug development and biomarker discovery programs, ? would you like to contribute to the imaging data science and AI (DS&AI) strategy and its implementation in Early Oncology, in active scientific exchange with the computer vision and AI community? in a company that follows the science and turns ideas into life changing medicines? Then 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.
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
Scope of responsibilities include research and development on AI based solutions for multi/ hyperspectral imaging supporting drug development and biomarker discovery programs, in close collaboration with interfacing functions at global AstraZeneca, contributing to the imaging data science and AI (DS&AI) strategy and its implementation in Early Oncology, in active scientific exchange with the computer vision and AI community.
Generate decisive data based on the image analysis of multi/hyperspectral histopathology images to advance the Early Oncology drug and biomarker development programs.
Further develop and apply latest artificial intelligence methods to support image and data analysis in Translational Medicine.
Lead a small team of image and data science experts focusing on multi/hyperspectral imaging technologies at Computational Pathology.
Contribute to the global DS&AI strategy and implementations by close collaboration across multiple functions in the larger organization.
Disseminate knowledge, best practices and developed algorithms and software tools to internal audiences in project meetings, AI seminars, documentation and code libraries, and to the external academic community with conference presentations and journal publications.
Collaborate closely with project stakeholders and interfacing functions such as pathology, quality assurance, data management, software development, data science and bioinformatics.
Essential for the role
Minimum 5 years proven experience in R&D in the biopharmaceutical industry.
Ph.D in computer science, physics, mathematics or related scientific discipline.
Significant track record of publications in the field of computer vision and artificial intelligence.
In-depth knowledge of software development using Python and scientific compute libraries.
Excellent communication and social skills while working in interdisciplinary, international and globally distributed project teams.
Must be able to work independently on multiple tasks in a high paced environment, be dedicated, detail oriented and constantly innovating.
Desirable for the role
Software development experience in a medical device environment.
Project experience in analyzing multi/hyperspectral histopathology images, preferably using a cloud environment such as AWS.
Management of a small agile team using SCRUM or a similar framework.
Project management skills including project resource estimation, milestone planning, delivery definition, and financial overview.
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
Competitive salary package and benefits
Close Date: 20/09/2021
Where can I find out more?
Our Social Media,
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- Salary £110000 - £130000
- Salary Per annum