Statistician (Scientist)

Statistician ChemicalDevelopment

Salary: Competitive

Location:Macclesfield

AstraZeneca is a global scienceled healthcare organisation focused on discovering developing and manufacturing lifechanging medicines. We are more than a leading pharmaceutical company were a place where people are encouraged to share ideas collaborate across disciplines and bring their creativity to work every day. Our culture empowers colleagues to contribute diverse perspectives feel valued and supported and make a meaningful impact for patients.

Within this Pharmaceutical Technology and Development (PT&D) play a vital role in turning scientific innovation into real medicines. PT&D designs and delivers the active ingredients formulations and devices needed to progress new treatments from early toxicology studies and clinical trials through to commercialscale manufacture. As part of PT&D Chemical Development (CD) focuses on creating sustainable scalable and highquality processes that ensure our medicines can be produced reliably and efficiently for patients worldwide.

ChemicalDevelopment

In Chemical Development (CD) we believe in possibility. Our teams push scientific boundaries to deliver medicines that make a real difference for patients. We bring together deep technical expertise creativity and a strong drive for problemsolving to design develop and optimise synthetic routes and analytical methods that produce active pharmaceutical ingredients in a sustainable and commercially viable way.

Innovation and continuous improvement are central to how we work. We collaborate closely with academic partners and industry experts to apply the latest technologies principles and digital approaches to the development and delivery of our medicines. This mindset helps us advance science strengthen our processes and accelerate the path from molecule to medicine.

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 decisionmaking. As part of ADS you will help shape the future of CD by advancing datadriven approaches and contributing to our digital transformation.

Key responsibilities:

The successful role holder willprovide statistical supportprimarilyforour Manufacturing Science and Commercial Supply (MS&CS) unit using data-driven techniquesto provide statistical rigourtodecisions affecting our manufacturing and analytical role requires working across multiple internal and external interfaces (e.g. manufacturing sites regulatory quality assurance formulation procurement external sourcing andcontract manufacturing organisations).astatistician you will:

• Deliver statistical analysis to support lifecycle management activities within theMS&CSAPI portfolio through useof basic and advanced statisticsdata visualisation multivariate modelling and dataanalytics.

• Assess internal and externally generated data carefully considering its reliability interpretations and findings.

• Deliver timelysupport in a fast-pacedregulatedenvironment whilst drawingauthoritative conclusions and recommendations so that the significance of the data can be appreciated by a broad skill range.

• Utilise data visualisation and statisticalanalysis to support core business processes (e.g. problem solving process optimisation tech transfer process validation and qualification continued process verification analytical method development etc.).

• Championrobust data-driven approachestoimprovingprocess understandingbyenablingand drivinguse of data across theprojectportfolio whilstcollaborating with thewide range ofotherMS&CS and CDskillsets (project technical expertschemistsanalytical chemistsengineers andparticleengineers).

• Advance the digital ambition ofCDby developingtrialling and promotingnew ways of working technologies or methods.

• Enhance thecapability ofMS&CSproject teams by upskilling and coachingin 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 andMS&CSby 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 ofourmedicines. 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.

• Astrong interest in the pharmaceutical industry.

• Strong experience inthe use ofbasicstatistics( statisticshypothesis tests linear regression analysis ofvariance)and statistical visualisation techniques.

• Strong experience usingcommercialstatistical analysissoftware(e.g. Minitab JMP SAS)or open-source solutions(R Python).

• Broad knowledge of statistical methods andvisualisationsand 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 listeningand consultancyskills 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 experienceorin achemistry/engineeringdiscipline with demonstrable statistics or chemometrics experience.

• Experience withindustrial andprocessanalytics (e.g. Chemometrics and Multivariate AnalysisContinued Process Verification Statistical Process Control Process Capability etc.)inapharmaceutical or fine chemical manufacturingenvironment.

• Experiencewithapplication ofstatistical methodologieswithin 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 analyticssupport with ability to manage multiple projects.

• Enthusiasm in helping customers to resolve problems and providing proactive suggestions in preventing similar issues recurring

Please note applications must include your current CV and cover letter which details your key areas of strength / development and why you should be considered for the role.

Date Posted

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