QC Sr Associate Data Analytic

QC Sr Associate Data Analytic

 Team Horizon is seeking a QC Sr Associate Data Analytic for a client in Dublin. This individual will apply advanced data analytics to extract actionable insights, optimize QC workflows, and drive digital transformation in quality operations.  If you are passionate about Quality Control, laboratory analytics, and data science, and want to drive the next evolution of QC digital optimization, we encourage you to apply!

 Why you should apply:

• This is an excellent opportunity to join a world class manufacturing operation, with an outstanding track record of reliably delivering high-quality medicines to patients around the world suffering serious illnesses.


• There is a strong culture of continuous improvement and innovation within the company to strive for solutions that improve health outcomes and dramatically improve people’s lives.


• Our client is developing the capability to produce all its medicines in Dublin, helping to ensure continuity of supply of our medicines as they expand internationally.

 What you will be doing:

• Work in technical teams in the development, deployment and application of applied analytics, predictive analytics, prescriptive analytics.


• Translate complex business processes into production level code.


• Work alongside software engineers to translate algorithms into viable products meeting business requirements.


• Perform exploratory and targeted data analyses using descriptive statistics and other methods.


• Develop, evaluate, and maintain AI/ML and generative AI solutions, including model validation, monitoring, and performance optimization.


• Work with data engineers on data quality assessment, data cleansing and data analytics.


• Generate reports, annotated code, and other projects artifacts to document, archive, and communicate your work and outcomes.


• Perform data verification and scenario testing of developed solutions ensuring business requirements are met.


• Explore emerging and alternate technologies to support digital solution advancement.


• Support code level troubleshooting activities.


• Work with IS teams/resolver groups.


• Share and discuss findings with team members practicing SAFe Agile delivery model.


• Ensure AI/ML/Digital solution development complies with GxP and other regulatory standards, fostering a strong Quality culture.

What you need to apply:

Minimum Qualifications:

• Doctorate, Master's + 2–3 years, Bachelor's + 4–5 years, or Diploma + 10–12 years of experience, in Software Engineering, Data Science, or ML Engineering.

Preferred Qualifications:

• Experience with machine learning and generative AI (LLMs, RAG, agentic workflows, prompt engineering, fine-tuning, model evaluation) applied to structured and unstructured data.


• Strong programming skills in Python and SQL; experience with cloud platforms (AWS, Azure, GCP) and tools such as Spark and Databricks.


• Familiarity with MLOps and AI engineering practices (model versioning, monitoring, deployment pipelines, responsible AI) and software engineering fundamentals (e.g., Git).


• Experience with BI/visualization tools (Tableau, Power BI, Spotfire) and automation platforms like Power Automate.


• Knowledge of GxP compliance and regulated environments; healthcare, biotech, or life sciences experience a plus.


• Proven ability to translate complex business problems into scalable, AI-driven solutions and manage multiple priorities with minimal supervision.


• Strong communicator and self-starter, comfortable working independently and across global teams.