In this role you will need to use the best available science and technology to develop new image analysis solutions to measure biomarkers in clinical tissues as well as using data science techniques to provide insight into the results. Using these techniques you will generate disease linkage data to guide indication selection and targeted patient populations, as well as measuring drug target engagement. This work will inform clinical decisions for selecting therapeutically relevant doses and schedules, as well as building our understanding of key cancer pathway interactions to guide rational drug combinations.

• PhD plus 2 years experience or MS/BS with 5+ years in industry in a relevant field
• Skilled in digital image analysis.
• Competent in microscopy and digital scanning.
• Skilled in data analysis.
• Peer-reviewed publications in the field of translational pathology, image analysis or cancer biology.

Desirable/Advantageous – Although training will be given, experience in the following areas would provide a distinct advantage

• Experience in HALO or Visiopharm for image analysis
• Python coding knowledge
• Experience in using R for data analysis
• Experience in image analysis that uses artificial intelligence (AI)/ deep learning algorithms
• Expertise in one or more AZ portfolio areas, including related biology and knowledge of translational approaches to developing therapeutics for cancer.
• Career exposure to the pharmaceutical industry and the drug development process.