Statistician

• Department: Scientific / Technical Science

LGC provides a range of measurement products and services which underpin the safety, health and security of the public, including reference materials and proficiency testing, genomics solutions, services and instrumentation, and expert sample analysis and interpretation. Our customers are across a number of end markets including Pharmaceuticals, Agricultural Biotechnology, Food, Environment, Government and Academia.

We proudly offer an outstanding opportunity for a Statistician to join our world-class research team in Guildford, UK. This distinctive role allows you to work alongside highly analytical and innovative professionals in the industry, contributing to both government and commercial projects. Your expertise will be pivotal in advancing our international metrology activities and delivering flawless results.

Key responsibilities:

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• Provide statistical advice and support to LGC staff, ensuring that all projects are backed by robust and accurate statistical methods.
  
• Formulate new and innovative statistics research projects, pushing the boundaries of our current knowledge and capabilities.
  
• Contribute to the development and dissemination of international standards or mentorship related to statistics, improving our global reach and influence.
  
• Prepare and deliver comprehensive training in statistics for analytical chemists and biologists, empowering our team with the knowledge they need to succeed.
  
• Occasionally travel to collaborate with international partners and collaborators, bringing your expertise to a broader stage.
  

Requirements:

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• Postgraduate qualification in statistics or a related field, or equivalent experience with at least 3 years of applying statistical methods in a scientific research environment.
  
• Proven experience with the R statistical programming environment, demonstrating your ability to implement complex analyses successfully.
  
• The ability to work both independently and as part of a collaborative team, showcasing your flexibility and teamwork skills.
  

Knowledge and experience in the following areas will elevate your application:

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• Applying statistical techniques to chemical and biological measurement data
  
• Build of experiments, ensuring methodical and accurate research results
  
• Linear and mixed effects models
  
• Measurement uncertainty, following guidelines such as the ISO/IEC Guide to the Expression of Uncertainty in Measurement
  
• Statistical methods for reference material characterization (ISO 33405) and interlaboratory study data analysis
  
• Machine learning and artificial intelligence applied to measurement data, driving innovation
  
• Bayesian methods for modeling and uncertainty evaluation
  

This is an exciting role where you will have the chance to determine the future of statistical applications in metrology and beyond. Join LGC and help us achieve our ambitious goals!

ABOUT LGC:

LGC is a leading, global life science tools company, providing mission-critical components and solutions into high-growth application areas across the human healthcare and applied market segments. Its high-quality product portfolio is comprised of mission-critical tools for genomic analysis and for quality assurance applications, which are typically embedded and recurring within our customers’ products and workflows and are valued for their performance, quality, and range.

OUR VALUES

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• PASSION
  
• CURIOSITY
  
• INTEGRITY
  
• BRILLIANCE
  
• RESPECT
  

EQUAL OPPORTUNITIES

LGC strongly believes that every job applicant and employee should be valued for their individual talents regardless of age, disability, race, color, ethnic or national origin, sex, sexual orientation, gender reassignment, marital or civil partnership, pregnancy or maternity, religion, or belief. Short listing, interviewing and selection will always be carried out without regard to gender, sexual orientation, marital status, color, race, nationality, ethnic or national origins, religion or belief, age, or trade union membership.