Statistician at Abbott

Abbott; Donegal; On-site; EUR 60,000 - 90,000; Full time

Job summary

Abbott in Ireland conducts data-driven analysis to support manufacturing processes and yield optimization across multiple sites, including Donegal. You will mine large datasets, interpret results, and provide analytical expertise to engineers and researchers.

Required are 4+ years in a similar role, a quantitative degree, and strong skills in Python, R, SAS or JMP. Experience with relational databases is preferred, enabling effective data-driven decision making.

Qualifications

• Bachelor's degree or higher in a quantitative field (e.g. Mathematics, Data Science, Statistics).
• Minimum of 4 years experience in a similar role.
• Proficient in a programming language such as Python, R, SAS, JMP or similar.
• Understanding of probability, statistical process control, hypothesis testing, time series analysis, regression.

Responsibilities

• Data mine large, complex datasets to answer research questions.
• Provide real-time data analysis support to manufacturing.
• Interpret statistical findings into business context for stakeholders.
• Consult on data analysis and statistical tools to junior team members and engineers.
• Assist with introduction of analytical test methods and development trials.
• Collaborate with scientists and engineers to design experiments.

Skills

Data mining

Statistical analysis

Data visualization

Real-time analytics

Process optimization

Education

Bachelor's degree in a quantitative field

Tools

Python

R

SAS

JMP

Oracle Databases

MySQL

Microsoft Access

Job description

Abbott in Ireland Operating since 1946, Abbott serves the Irish market with a diverse range of healthcare products. We employ around 6,000 people across ten sites in Dublin, Donegal, Clonmel, Cootehill, Galway, Kilkenny, Longford, and Sligo.

Abbott Ireland Diabetes Care Division Donegal: Located in Donegal Town, our Diabetes Care division manufactures FreeStyle blood glucose test strips and sensors, including the FreeStyle Precision, FreeStyle Lite, and FreeStyle Libre systems.

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.

Please note any offer of employment for this position is conditional upon the successful completion of a pre-employment medical examination, including drug and alcohol screening, conducted by a medical practitioner designated by the Company.

Job Specification

• 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.
• Provide real time data analysis support to manufacturing in terms of process adjustments, material performance, investigations, programming and yield analysis.
• 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 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 manages multiple projects working with stakeholders to define business questions, timelines and objectives.
• Highly effective in presenting and communicating statistical results to various levels of personnel is required regularly.

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.).