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, 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.

WHAT YOU’LL DO

The Computational Pathology team is growing to meet the challenges of pre-clinical and clinical big data generation initiatives in AZ Oncology with focus on microscopic imaging. There exists an opportunity for a talented and motivated data scientist with strong expertise in biostatistics to join the team as a Senior Scientist, Data Science to integrate and translate image analysis features with other omics data into meaningful drug project impact. To do this you will:

• Work as part of multi-disciplinary teams spanning digital pathology, bioinformatics and translational medicine to understand their scientific and technical challenges and proactively impact these.
• Apply your strong statistical/analytical skills to the development of novel image and patient features.
• Extract knowledge and insights from image-based data in order to support drug development and biomarker discovery in Oncology through a range of data preparation, modelling, analysis and/or visualization techniques.
• Apply quantitative expertise in machine learning, artificial intelligence, statistical modelling and/or applied mathematics to develop and operate innovative solutions.
• Assume technical leadership role in projects or segments of large-scale programs, while applying specialist knowledge in data science.
• Contribute to data science algorithm libraries and enabling tools and components.
• Effectively engage with the technology development and AI science community within AstraZeneca, whilst contributing to scientific conferences and/or journal publications.

ESSENTIAL FOR THE ROLE

• Relevant PhD (or equivalent graduate degree plus proven applied experience), combining:
• Technical expertise in applied biostatistics, computational biology or data science.
• Expertise in developing and applying novel algorithms to biological problems.
• Expertise in one or more of the following:
• Graph-based methods to describe cell and/or patient populations.
• Explainable biomarker discovery using Causal Inference and Causal Machine Learning methods.
• Analysis of images, particularly from histopathology.
• Data management including curation, data engineering, FAIR and reproducible research practices.
• R and/or Python programming and visualisation expertise.
• Skilled in effective communication of complex data to a non-expert.
• Enthusiasm and persistence in the application of analytic methods to complex biological problems.
• Familiarity with the Unix environment and high-performance computing environments.
• Capability of successfully managing multiple simultaneous projects within an agile environment.
• Working effectively within cross-disciplinary science teams, including with functional leaders.
• Experience contributing to the research community through publication, conferences and open source code projects.

DESIRABLE FOR THE ROLE

• Familiarity with imaging modalities (WSI, CT, MRI), especially histopathology images (H&E, IHC, mIF).
• Experience with oncology related imaging datasets (TCGA, Camelyon, Proteinatlas).
• An understanding of the molecular mechanisms driving cancer.
• Technical expertise in processing and analysing images.
• Experience in clinical biostatistics, including feature selection, survival analysis, clinical trial design and clinical trial data files (SAS, TLFs).