Computational Pathology Ai Scientist for Medical Applications

vor 2 Wochen

München, Deutschland AstraZeneca Vollzeit

**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.

**SITE DESCRIPTION - Munich, Germany.**

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, spacious environment, sustainable office working environment, events, family and childcare support and of course the Alps around the corner for hiking, biking and skiing.

**BUSINESS AREA**

**What you’ll do**
- ** AI Model Development, validation & Deployment**:

- Support implementation and deployment of quality management system by optimizing processes, developing automation, writing or redacting procedural documents to enable bench to bedside translation.
- Acts as the primary technical interface for external partners supporting the validation and deployment.
- Support validation of external partners technologies by running independent scientific validation studies.
- ** R&D Innovative Technologies**:

- Serves as a technical liaison with internal teams working on new models and technologies to advance the development of validated companion diagnostics products. Provide feedbacks on applicability and scalability.
- Use technical expertise to further develop and optimize existing technology stack.

**Essential for the role**
- Expertise in AI Deep learning models training, and performance evaluation for machine vision algorithms applied to medical data.
- Strong programming skills (python, R, Rust, etc.). Knowledge of at least one of the most common deep learning development frameworks (Pytorch, tensorflow, etc.), data analytics libraries (pandas, R), and the typical software development technology stack (git, JIRA, IDEs, etc.).
- Expertise in AI systems or medical devices validation is a strong asset.
- Expertise in scientific studies design, planification, running including experiments planification, execution and reporting.
- Knowledge of AI system and medical devices validation including in the fields of stability, explainability, sub-group performance evaluation (e.g., by target population demographics or heterogeneous data distributions like scanner variability).
- Ability to interact with scientists of different background including physicians, biologists, statisticians and computer scientists.
- Project management skills.
- Excellent written and oral communication skills in English.

The position is based in Munich, Germany

**Benefits**
- Individual development opportunities and a focus on lifelong learning.
- A diverse, inclusive and unbiased work environment.
- Trust, appreciation and space for co-creation.
- Wellbeing and Mobility Benefits.

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