About Abbott Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 113,000 colleagues serve people in more than 160 countries.
Abbott serves the Irish market with a diverse range of healthcare products including diagnostics, medical devices and nutritionals products. In Ireland, Abbott employs over 5,000 people across nine sites. We have six manufacturing facilities located in Clonmel, Cootehill, Donegal, Longford and Sligo and a third-party manufacturing management operation in Sligo. Abbott has commercial, support operations and shared services in Dublin and Galway. We have been operating in Ireland since 1946.
Abbott Ireland Diabetes Care Division Donegal The Abbott Diabetes Care division based in Donegal Town manufactures FreeStyle blood glucose test strips and FreeStyle Sensors for use in diabetes management. Among Abbott Diabetes Care leading brands are the FreeStyle Precision, FreeStyle Lite and FreeStyle Libre system.
Key Responsibilities Provide real time data analysis support to manufacturing in terms of process adjustments, material performance, investigations, programming and yield analysis.Ability to independently data mine multiple large, complex datasets to answer specific research / investigation questions. Curiosity to dig deeper and access other documentation sources to understand the data.The ability to strategically interpret statistical findings into a business significant context.Provide consulting on data analysis and statistical tools in support of trend analysis, root cause analysis, failure investigation, risk assessment, data management and data visualization to junior team members and engineers.Support technical investigations performed within the manufacturing unitAssist with the introduction of analytical test methods & development trials (analysis of variance, setting acceptance criteria & capability analysis) and support efforts to reduce measurement variabilityWork with scientists and engineers to introduce new machines, materials and processes, inputting into the design of experiments and analysis of resultant dataDevelop and lead projects focused on enhancing statistical methodologies. This includes providing input to the site data strategy and ensure delivery of the strategyHighly effective in presenting and communicating statistical results to various levels of personnel is required regularly.Education & Experience Bachelor's Degree or higher in a quantitative field (i.e. Mathematics, Data Science, Statistics, Applied Statistics, Biostatistics etc.) preferred.Minimum of 3 - 5 years experience in a similar role.Proficient in a programming language such as python, R, SAS, JMP or similar.An understanding of probability, statistical process control, hypothesis testing, non-parametric statistics, time series analysis, linear and logistic regression etc.
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