Working Student Image Analysis/ Algorithm
vor 2 Wochen
We’re looking to recruit a working student to join us by working up-to 20 hours per week until the end of 2023 at our Computational Pathology site, Munich. Would you like to gain experience in supporting our development of novel tools and algorithms for image analysis in digital pathology? You will be working with highly skilled colleagues in biology, image analysis, data science and software engineering. If this sounds exciting; then 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 commercialization 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 phenomenal 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**
Our Computational Pathology Munich site is one of over 400 sites here at AstraZeneca, providing an 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, forward-thinking 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 a 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 maximizing the lifecycle. By leveraging our commercialized portfolio we are confident we can change the practice of medicine and redefine cancer treatment.
**What you’ll do**
The AI Research Team is looking for a motivated working student to support our development of deep learning based image analysis algorithms. There is a strong focus on algorithmic research in deep learning with focus on computer vision algorithms for detection and segmentation in histopathological images. Your role includes the following:
- Support design, implementation and domain transfer of new computer vision algorithms for histopathology images, optimized for speed and robustness.
- High-quality code development: write well documented code with automated tests
- Work in a multi-disciplinary team within biology, image analysis and software engineering
**Essential for the role**
- Registered student in Computer Science or similar university degree
- Strong skills in Python
- Independent style of working
- Excellent communication and conflict resolution skills
- English language skills
**Desirable for the role**
- Completed undergraduate degree in Computer Science or similar
- Familiarity with deep-learning based image analysis
- Familiarity with concepts for semantic segmentation, domain adaptation
- Hands-on experience with tensorflow/PyTorch
- Experience with VC (e.g., git)
Competitive salary package and benefits
Close Date: 28/02/2023
**Why AstraZeneca?**
There’s no better place to make a difference to medicine, patients and society. A culture that champions diversity and teamwork, 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 considering joining the team? Good, because we can’t wait to hear from you.
- Are you ready to bring new insights 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 please reach out to Louise Bennett
**Where can I find out more?**
Our Social Media,
Follow AstraZeneca on LinkedIn
Follow AstraZeneca on Facebook
Follow AstraZeneca on Instagram
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