Statistician – Chemical Development
Salary: Competitive
Location: Macclesfield
We now have an exciting opportunity for a Scientist (Statistics) to join our growing Automation and Data Science (ADS) unit within Chemical Development. ADS brings together our digital strategy, enabling us to build, deploy and maintain new digital tools and technologies that support scientific exploration and smarter decision‑making. As part of ADS, you will help shape the future of CD by advancing data‑driven approaches and contributing to our digital transformation.
Key responsibilities
The successful role holder will provide statistical support primarily for our Manufacturing Science and Commercial Supply (MS&CS) unit, using data‑driven techniques to provide statistical rigor to decisions affecting our manufacturing and analytical processes. The role requires working across multiple internal and external interfaces (e.g. manufacturing sites, regulatory, quality assurance, formulation, procurement, external sourcing and contract manufacturing organisations). As a statistician you will:
* Deliver statistical analysis to support lifecycle management activities within the MS&CS API portfolio through use of basic and advanced statistics, data visualization, multivariate modelling, and data analytics.
* Assess internal and externally generated data carefully considering its reliability, interpretations and findings.
* Deliver timely support in a fast‑paced regulated environment, whilst drawing authoritative conclusions and recommendations so that the significance of the data can be appreciated by a broad skill range.
* Utilise data visualization and statistical analysis to support core business processes (e.g. problem solving, process optimisation, tech transfer, process validation and qualification, continued process verification, analytical method development, etc.).
* Champion robust data‑driven approaches to improving process understanding, by enabling and driving use of data across the project portfolio, whilst collaborating with the wide range of other MS&CS and CD skillsets (project technical experts, chemists, analytical chemists, engineers and particle engineers).
* Advance the digital ambition of CD by developing, trialling, and promoting new ways of working, technologies, or methods.
* Enhance the capability of MS&CS project teams by upskilling and coaching in basic statistics and data analysis techniques.
* Be responsible for maintaining strong links to the wider data strategy in CD and across PT&D and improving the external profile of AstraZeneca, CD and MS&CS by publication and presentation.
All these activities will have a significant impact on the speed, quality and cost of the AZ commercial portfolio, the overall success of the Supply Chain as well as ensuring the commercial viability of our medicines. The role therefore has a significant impact on both financial and reputational aspects of the business.
Essential Requirements
* BSc with a significant statistical/mathematical component or equivalent experience.
* A strong interest in the pharmaceutical industry.
* Strong experience in the use of basic statistics (e.g. descriptive statistics, hypothesis tests, linear regression, analysis of variance) and statistical visualisation techniques.
* Strong experience using commercial statistical analysis software (e.g. Minitab, JMP, SAS) or open‑source solutions (R, Python).
* Broad knowledge of statistical methods and visualisations and their application to process data.
* Application of exploratory data analysis and regression/correlation techniques for exploring relationships within manufacturing/scientific datasets.
* Good presentation skills and the ability to deliver complicated statistical analysis to customers in a clear and understandable way, enabling further decision‑making processes.
* Active listening and consultative skills, with the ability to scope the problem statement and to understand pain points of customers.
Desirable Requirements
* MSc or higher in a statistics related discipline with relevant industrial experience, or in a chemistry/engineering discipline with demonstrable statistics or chemometrics experience.
* Experience with industrial and process analytics (e.g. Chemometrics and Multivariate Analysis, Continued Process Verification, Statistical Process Control, Process Capability, etc.) in a pharmaceutical or fine chemical manufacturing environment.
* Experience with application of statistical methodologies within a pharmaceutical or regulated environment.
* Experience in support of regulatory interactions and responses.
* Familiar with working with databases, mining, and data architecture fundamentals, including SQL.
* Demonstrated ability to work in multidisciplinary teams delivering statistics and data analytics support with ability to manage multiple projects.
* Enthusiasm in helping customers to resolve problems and providing proactive suggestions in preventing similar issues recurring.
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