Data Science Associate Director, Oncology R&d

AstraZeneca is a global, science-led, patient-focused biopharmaceutical company that focuses on the discovery, development and commercialisation of prescription medicines for some of the world’s most serious disease. But we’re more than one of the world’s leading pharmaceutical companies.

At AstraZeneca we’re dedicated to being a Great Place to Work. Where you are empowered to push the boundaries of science and unleash your entrepreneurial spirit. There’s no better place to make a difference to medicine, patients and society. An inclusive culture that champions diversity and collaboration. Always committed to lifelong learning, growth and development.

**Innovate and push the boundaries of science in Oncology R&D**

Join a dedicated Oncology team that’s growing fast and building a strong track record of success. Our pioneering approach is identifying and treating patients earlier, focusing on early stage cancer trials and listening and evolving based on their needs. As a team we are deeply committed to transforming the lives of patients living with cancer - with the ultimate aim of eliminating cancer as a cause of death. There’s no better place to make an impact - here we are uniquely placed with the funding, the ambition and the bravery to make it happen.

**About the role**:
Your day to day work will include:

- Developing statistical and machine learning models to accelerate decision making, both internally and externally.
- Consultancy to drive best practise in the statistical analysis of bioinformatic data across the early drug portfolio.
- Working with a range of stakeholders across the oncology drug pipeline to ensure that models are fit for purpose, and that the insights derived from the models are clearly communicated.

Developing best practice for predictive modelling, and working to educate stakeholders in both the benefits and the limitations of this approach.

**Essential for the role**
- Relevant PhD (or equivalent graduate plus applied experience) demonstrating technical expertise in applied mathematics or applied biostatistics, or similar.
- Experience in Bayesian or other advanced statistical learning techniques, and the drive to continue to learn and develop these skills.
- R / Python programming expertise in Unix high performance computing environment.
- Demonstrated experience working with business customers to help formulate business problems as rigorous quantitative questions, and translating analysis results to business recommendations.

**Desirable**
- Experience within the pharmaceutical industry
- In-depth experience of working in a global organization with complex/geographical context

**Why AstraZeneca?**
- At AstraZeneca when we see an opportunity for change, we seize it and make it happen, because any opportunity no matter how small, can be the start of something big. Delivering life-changing medicines is about being entrepreneurial - finding those moments and recognising their potential. Join us on our journey of building a new kind of organisation to reset expectations of what a bio-pharmaceutical company can be. This means we’re opening new ways to work, pioneering cutting edge methods and bringing unexpected teams together. Interested? Come and join our journey. _

**So, what’s next**
- Are you already imagining yourself joining our team? Good, because we can’t wait to hear from you. _If you’re curious to know more then please reach out to (contact person)_

**Where can I find out more?**

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