Join the team dedicated to Oncology, with an ambition to eliminate cancer as a cause of death. It’s our big vision that unites and inspires us.
With multiple indications and high-quality molecules at all stages of our innovative pipeline, we keep pushing forward. Fusing ground breaking science with the latest technology to achieve breakthroughs. Backed by investment, we are seeking to deliver 6 new molecular entities by 2025.
A place built on courage, curiosity and collaboration – we make results-oriented decisions driven by patient outcomes. Empowered to lead at every level, free to ask questions and take smart risks that write the next chapter for our pipeline and Oncology team.
Pioneers of collaborative research we have built an outstanding scientific community both internally and externally. Fusing academia and industry, we have united some of the world’s foremost medical centres.
Have the opportunity to build an exciting and meaningful career as part of the team committed to improving the lives of millions with cancer.
Precision Medicine and Bio Samples within AstraZeneca focuses on matching medicines to those patients who will benefit from them most and delivers companion or complementary diagnostic assays that align with the drug development process and enable personalised healthcare approaches within our clinical portfolio.
Are you interested in applying your expertise in Machine Learning (ML)/Artificial Intelligence (AI) to implement digital solutions in clinical settings?
The Tissue Diagnostics team within Precision Medicine and Biosamples are seeking for candidates to lead or support initiatives that aim to bring about the value of ML/AI in clinical trials and in the real-world to help clinicians identify patients who might benefit most from AstraZeneca drugs.
In this role, you would work in multidisciplinary teams and be accountable for (1) identifying and evaluating technologies relying on ML/AI which can seek difficult challenges in precision medicine; (2) delivering the scientific aspects of developing and establishing ML/AI-based solutions in drug clinical trials; (3) producing scientific evidence enabling the development of diagnostic tests, their regulatory submissions and their commercial launches.
Why we love it
If your passion is science and you want to be part of a team that makes a bigger impact on patients’ lives, then there’s no better place to be. Here we truly understand science and apply it every day to strengthen and grow our pipeline.
So, what’s next?
Where can I find out more?
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