Statistician / Statistical Programmer

LifeScan is a global leader in blood glucose monitoring and digital health technology and has a vision to create a world without limits for people with diabetes and related conditions. More than 20 million people and their caregivers around the world count on LifeScan’s OneTouch products to manage their diabetes. The team has an unwavering commitment to quality in the development of agile products and digital platforms defined by simplicity, accuracy, and trust to enable knowledge, wellness, and health of individuals. At LifeScan we believe our talented and passionate team is what makes us special.

• To provide senior level statistical support to Lifescan
• Lead the investigation team for performance issues at Lab and Clinical sites; Monitor corrective actions through product performance meetings
• Statistical SME for projects, validations and investigations
• Ensure the laboratory and various functions across the business e.g. Engineering, Quality, Labs, Operations etc are supported.
• Ensure production performance review reports and applicable meetings are managed, chaired and accurate for all products.
• Organise large amounts of data for statistical modeling and graphic analysis.
• Ensure the correct design of research is given to projects and that valid scientific techniques are used appropriately and utilize information obtained from baselines or historical data.
• Ensuring all product release activities and product development activities are completed in a compliant manner.
• Robust understanding if all aspects of the product lifecycle and able to technically mentor others within the team.
• A strong programming skill set and be familiar with product and software validation methodologies.
  
  

• Strong programming experience in SPSS, R, Python or similar software
• Experienced in Applied Statistical Programming Skills
• Proven ability to summarise and present technical and complex data to others
• Able to understand complex data sets and translate it into actionable outcomes
• Technical Report writing skills
• Mathematical modelling of complex systems
• Strong technical knowledge and experience with a wide range of statistical tools and techniques.
• Experience in product monitoring, trend analysis and sampling methodologies
• Excellent attention to detail
• Excellent written and verbal communication
• Validation Experience
• Experience of working in a large scale-manufacturing environment (Desirable)
• Experience of AI & Machine Learning (Desirable)
• Clinical Trials Experience (Desirable)