Remote QC Data Analytics Specialist — AI-Driven Quality

PE Global; Dublin; Remote; EUR 70,000 - 100,000; Full time

Job summary

PE Global is recruiting a QC Data Analytics Specialist for a leading multinational biotech client based in Dublin. This is a 12-month contract with a remote work option.

You will join the Global Quality Control network, developing AI-driven analytics and digital solutions to optimize QC workflows while ensuring GxP compliance. The role emphasizes advanced data analytics, ML/AI development, and collaboration with software engineers in an SAFe Agile setting.

Qualifications

• Experience in advanced statistical/analytical techniques and ML for structured/unstructured data.
• Experience developing and deploying generative AI solutions (LLMs, RAG, prompts).
• Knowledge of modern AI/ML tech, and operating predictive/ML models.
• Strong skills in SQL and Python; cloud familiarity (AWS/Azure/GCP).

Responsibilities

• Develop, deploy and apply analytics—predictive, prescriptive, AI/ML solutions.
• Translate business processes into production-ready code with software engineers.
• Build and validate AI/ML models; monitor performance and compliance with GxP.
• Collaborate with data engineers on data quality and analytics; SAFe Agile practices.
• Generate reports, explain outcomes, document artifacts for archiving.

Skills

SQL

Python

AI/ML

GxP compliance

Cloud platforms

Databricks

MLOps

Git

Tableau

Power BI

LLMs

RAG

Spark

Education

Doctorate in Software Eng/DS/ML Eng

Master’s + 2–3 years exp

Bachelor’s + 4–5 years exp

Diploma + 10–12 years exp

Tools

Spark

Databricks

Job description

PE Global is recruiting a QC Data Analytics Specialist for a leading multinational biotech client based in Dublin. This is a 12-month contract with a remote work option.

You will join the Global Quality Control network, developing AI-driven analytics and digital solutions to optimize QC workflows while ensuring GxP compliance. The role emphasizes advanced data analytics, ML/AI development, and collaboration with software engineers in an SAFe Agile setting.