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Statistician

Abbott Laboratories•Donegal Township, PA
•Onsite

About The Position

Abbott in Ireland has been operating since 1946 and employs around 6,000 people across ten sites. The Diabetes Care division in Donegal Town manufactures FreeStyle blood glucose test strips and sensors. This role involves data mining, real-time data analysis support for manufacturing, strategic interpretation of statistical findings, and consulting on data analysis and statistical tools. The position also supports technical investigations, the introduction of analytical test methods, and new machines, materials, and processes. The role requires independent project management and effective communication of statistical results.

Requirements

  • Bachelor's Degree or higher in a quantitative field (i.e. Mathematics, Data Science, Statistics, Applied Statistics, Biostatistics etc.) preferred.
  • Minimum of 4 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.
  • Experience with relational databases (for example: Oracle Databases, MySQL, Microsoft Access, etc.).

Nice To Haves

  • Curiosity to dig deeper and access other documentation sources to understand the data.

Responsibilities

  • Independently data mine multiple large, complex datasets to answer specific research/investigation questions.
  • Provide real-time data analysis support to manufacturing for process adjustments, material performance, investigations, programming, and yield analysis.
  • Strategically interpret statistical findings into a business-significant context.
  • Provide consulting on data analysis and statistical tools for 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 unit.
  • Assist with the introduction of analytical test methods & development trials (analysis of variance, setting acceptance criteria & capability analysis) and support efforts to reduce measurement variability.
  • Work with scientists and engineers to introduce new machines, materials, and processes, inputting into the design of experiments and analysis of resultant data.
  • Independently manage multiple projects working with stakeholders to define business questions, timelines, and objectives.
  • Present and communicate statistical results to various levels of personnel.

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