Image Data Integration Scientist - Data Science & AI
AstraZeneca AB / Kemistjobb / Göteborg
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hela Sverige Are you passionate about imaging and advanced image analysis? Can you apply these skills to help us in drug discovery? Do you have expertise in applying sophisticated algorithms and image analysis techniques to complex imaging data and have a thirst for applying these skills to advance the boundaries of science to deliver life-changing medicines to patients? Then why not join the Imaging and Data Analytics department at AstraZeneca?
We are looking for an Image Data Integration Scientist to apply cutting edge technologies and advanced image processing and analysis to help derive biological insights from biological tissue and in vivo imaging data to support drug development projects across Oncology, Respiratory and Cardiovascular & Metabolic Disease therapy areas. You will work alongside our team of Imaging Scientists, Pathologists, Biologists and Data Scientists within Clinical Pharmacology and Safety Sciences (CPSS) - as well as collaboration with our global imaging teams.
CPSS is changing the way imaging technologies are combined to offer unprecedented insight and impact. Our imaging hubs combine data from histology, digital pathology, multiplex assays, advanced molecular imaging techniques (including mass spectrometry imaging) and a full suite of in vivo imaging technologies. This position offers the opportunity to be involved in the investigation of both the safety and efficacy of drugs within our projects in both a preclinical and clinical setting. We believe this is a truly exciting opportunity for a hardworking Image Digitization Scientist.
The Role
As an Image Data Integration Scientist, you will be a key link between all our imaging scientists and advanced image analysis experts. You will provide expertise in cutting edge multi-modal image integration workflows of large sets of biomedical images, to build insights into the biological mechanisms of disease. You will provide established and cutting edge image data analysis and integration across modalities using image segmentation, processing and analysis using rule based and machine learning approaches to derive solutions to a range of problems in biomedical images.
Main Duties and Responsibilities:
• Build and internalize algorithms and techniques to answer defined digital pathology, Mass Spectrometry Imaging and in vivo imaging questions and ensure that results are scientifically robust and documented.
• Develop multimodal integration processes to integrate digital pathology (H&E, IHC, mIF), Mass Spectrometry and in vivo imaging data-sets to derive insights into biological mechanisms of disease processes and models
• Develop and use machine learning/AI tools aimed at pre-processing, segmenting, co-registering, feature extraction, analysing and summarising large and multimodal image data sets
• Perform data analyses and visualization, including analytics associating image analysis features with drug treatments, response and survival data, genetic features and other sample attributes using AI powered image analysis, statistics and other tools
• Contribute to the publication of technical protocols, scientific abstracts, posters, presentations, manuscripts and/or patent applications
Essential Requirements:
• MSc/PhD in a Biological Science, Biomedical Engineering, Bioinformatics, Computer Science or related discipline with up to 3 or more years of related experience in academia or pharmaceutical/biotech/CRO organisation
• Proven knowledge and experience in multimodal image integration, segmentation, pre-processing, reconstruction, feature classification and image analysis
• Experience and programming skills in one or more of the languages/packages e.g. Python,Tensorflow, Keras, Pytorch, MATLAB, R, Java, Definiens to address image analysis questions
• Strong mathematics background and experience in application of data science knowledge to apply machine learning and deep learning methods to address image analysis questions e.g. Graphs, SMILY etc.
• Experience working with and analysis of large quantities of imaging data across modalities e.g. cellular imaging, digital pathology, mass spectrometry imaging and in vivo imaging (CT, MRI, PET)
Desirable is also experience of digital pathology imaging systems for the digitization of pathology images.
If you are ready for a challenge - take the opportunity and join our team!
For questions about the position please contact Arthur Lewis (Associate Director - Imaging & Data Analytics) at
We look forward to your application no later than 24th January 2020.
Varaktighet, arbetstid
Heltid Permanent
Publiceringsdatum2019-12-20ErsättningNot Specified
Så ansöker duSista dag att ansöka är 2020-01-17
Klicka på denna länk för att göra din ansökanFöretagAstrazeneca AB
Arbetsgivarens referens Arbetsgivarens referens för detta jobb är "R-069138".
Omfattning Detta är ett heltidsjobb.
Arbetsgivare Astrazeneca AB (org.nr 556011-7482)
Arbetsplats AstraZeneca
Jobbnummer 5015082
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