Associate Director, Image Analysis, Computational - Nuernberg, Deutschland - AstraZeneca

AstraZeneca

Geprüftes Unternehmen

Nuernberg, Deutschland

vor 2 Wochen

Geschrieben von:

Lena Wagner

beBee Recruiter

Beschreibung

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.

SITE DESCRIPTION
Welcome to our Computational Pathology site in 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

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.
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

Strong experience in building and deploying computer vision pipelines, previous experience with (bio)medical images, especially digital pathology whole slide images, is a strong plus
Indepth 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

Excellent programming skills 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.)
Proven track record of major 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.
Accountability for subproject management and delivery in a multinational, multidisciplinary project in academia or industry.
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 & benefits

Closing date: 23/03/2023

Why AstraZeneca?
At AstraZeneca when we see an opportunity for change, we seize it and make it happen, becaus