Senior Scientist - Image Analysis, Computational Pathology
Saturday 22nd April 2023
Organization AstraZeneca
Location Munich
Title Senior Scientist - Image Analysis, Computational Pathology
URL https://bit.ly/3Lk0dMd
Email Address louise.bennett1@astrazeneca.com
Close date: 19/5/23
Job Description
We are recruiting for an experienced Senior Scientist, Image Analysis to work within our Computational Pathology, Oncology team. Within this position you will assume technical leadership on projects while developing and applying groundbreaking 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 just a world leading pharmaceutical company. 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, a 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. 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 and deploy image analysis solutions serving the goals of drug development projects, including requirements engineering, development, implementation, deployment and result delivery on large scale datasets.
Extract knowledge and insights from digital pathology image data 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 expertise in image analysis, machine learning, artificial intelligence, statistical modelling and/or applied mathematics to develop and operate innovative data science solutions.
Assume technical expert 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 in building and deploying computer vision pipelines, previous experience with (bio-)medical images, especially digital pathology whole slide images, is a strong plus
Experience in at least one aspect of object detection/instance segmentation/panoptic segmentation, self-/weakly-/semi- supervised learning, image-to-image translation or image normalization
Experience in Python/git, knowledge of relevant libraries for computer vision (e.g. PyTorch, Keras, TensorFlow, Scikit-Image, openCV etc.), data analysis (e.g. Pandas, Scikit-Learn, numpy/scipy etc.) and deployment (e.g. kubeflow/k8s, docker etc.)
Track record of 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.
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
Competitive salary package and benefits
Close Date: 19/5/2023
Why AstraZeneca?
Join a 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.