Location: Gaithersburg, MD US
Introduction To Role: Are you ready to make a significant impact in the fight against cancer? Join our Translational Pathology team in Oncology R&D, where you'll contribute to an industry-leading portfolio of programs. From early clinical development of novel therapeutics to supporting approved targeted therapies, your work will be pivotal in advancing cancer treatment.
Accountabilities: In this dynamic role, you'll leverage cutting-edge science and technology to automate laboratory workflows and enhance data accuracy. You'll generate image analysis data from immunohistochemistry images using deep learning and foundation models, integrating data from pre-clinical, commercial, and clinical tissues. Your analysis will provide disease linkage data to guide indication selection and target patient populations, measure drug target engagement, and quantify changes in the tumor microenvironment. This crucial work will inform clinical decisions on therapeutically relevant doses and schedules, while deepening our understanding of cancer pathway interactions to guide rational drug combinations.
Essential Skills/Experience: • Bachelor's degree in a relevant field (e.g., biology, computer science, engineering or other relevant subject) required, and 3+ years relevant experience; Master's degree preferred • Expertise in implementation of laboratory automation and digital solutions • Python proficiency is required with experience in automation and pipeline development. • Working knowledge of deep learning architectures, Foundation models optimization and fine tuning. • Data visualization and data science experience (R and/or python experience strongly preferred)
Desirable Skills/Experience: • Experience in image analysis (e.g. Qupath, HALO/HALO link and Visiopharm) • Experience of immunohistochemistry and/or handling immunohistochemistry data • Knowledge of GxP systems and requirements • Career exposure to the pharmaceutical industry and the drug development process. • Skilled in effective communication of complex data to a non-expert. • Enthusiasm and persistence in the application of analytic methods to complex biological problems. • Capability of successfully managing multiple simultaneous projects within an agile environment. • Working effectively within cross-disciplinary science teams, including with functional leaders.
At AstraZeneca, we are driven by a vision to eliminate cancer as a cause of death. Our team is dedicated to pioneering new frontiers in oncology research, fusing cutting-edge science with the latest technology to achieve breakthroughs. With multiple indications and high-quality molecules at all stages of our innovative pipeline, we are committed to delivering impactful treatments. Empowered by investment and collaboration with leading medical centers worldwide, we expedite research in some of the hardest-to-treat cancers. Here, courage, curiosity, and collaboration are at the heart of everything we do.
Tagged as: Life Sciences
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