Statistical Science Associate Director, Statistical

2 weeks ago

Macclesfield, United Kingdom AstraZeneca Full time

At AstraZeneca, we work together across global boundaries to make an impact and find answers to challenges. We do this with the utmost integrity, even in the most difficult situations because we are committed to doing the right thing. We continuously forge partnerships that help pursue world-class medicines in new ways, combining our people’s exceptional skills with those of people from all over the globe. Our Oncology Biometrics department is an integral part of the Oncology R&D organisation.

We drive excellent design in order to generate the appropriate data needed for quality decision making. The goal of Oncology Biometrics is to deliver value to the pipeline by excellence in delivery, improved decision making and engaging and shaping the external environment whilst accessing and implementing innovative solutions.

**Main duties and responsibilities**

Joining a team of statistical methodology experts, you will provide key input as you work to find solutions to problems at critical stages in the drug development cycle. This is exciting and technically challenging work in a dynamic and constantly changing landscape. Your key focus will be on producing pragmatic solutions, often within a tight time scale where the emphasis will be to deliver first, then refine and develop your solutions thereafter.

You will contribute to, or lead capability build in more than one of the following statistical areas: Exploratory and secondary analysis of clinical trial and EHR data, Bayesian analysis, observational studies, statistical methods in HTA and health economics.

You will also provide expert consultancy on key issues for fellow statisticians working in our therapeutically aligned statistics groups, as well as medical scientists and other key roles across the business. This will involve partnership both internally and externally with equivalent role in Biopharma R&D Unit leading and participating in strategic activities such as capability build projects, which can directly impact improvements to the way clinical trials are designed and analysed in AstraZeneca. As well as developing and implementing new methodology, interacting with external scientists and regulators, through publications, presentations and cross-industry collaborations. There will also be a focus proactively identify new areas where Statistical Innovation can add value, developing collaborative relationships with the external scientific/academic community.

**Requirements**:
**Essential**
- MS or PhD in Statistics, Biostatistics or Mathematics or a related discipline, followed by experience of independent academic research and/or clinical drug development
- Minimum of 5 years of relevant experience.
- Documented ability of delivering innovative statistical solutions in an applied environment related to at least one of the following areas: analysis of clinical trial and real-world data, survival modeling and analysis, Bayesian analysis, cancer epidemiology.
- Strong knowledge of programming in R and/or SAS. Experiences with R Shiny development and Stan, BUGS highly preferred.
- High level of competence in global and cross-skilled collaborative working

**Desirable**
- Knowledge / experience in the development and implementation of statistical methodology in clinical trials and drug discovery, including but not limited to high dimensional regression, survival analysis, Bayesian methods.
- Broad awareness of statistical issues against the evolving scientific and regulatory landscape. Experience with oncology drug development.
- In addition to be considered for appointment at the more senior level, the documented ability to deliver innovative statistical solutions should be in at least 2 of the areas listed above or be a recognised expert in one of these areas.

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