QA Operations Shift Specialist

CV-Library
Dublin, City of Dublin
13 months ago
Applications closed

Related Jobs

View all jobs

Lead Techno‑Functional Business Analyst

Deutsche Bank London, United Kingdom

Knowledge & Enablement Specialist

Synthesia United Kingdom
Remote

Senior Knowledge & Enablement Specialist

Synthesia United Kingdom
Remote

Deployment Strategist

Databricks London, United Kingdom
On-site

Data Analyst Business System Analyst

Randstad Technologies Recruitment London, City And County Of the City Of London, United Kingdom
£60,000 – £70,000 pa Hybrid
Posted
17 Apr 2025 (13 months ago)

QA Operations Shift Specialist

This is a shift role (4 x 12hr extended days followed by 4 days off)

The Quality Specialist provides direct Quality support to a production area as part of a Quality IPT (Integrated Product Team). With guidance from the Associate Director of Quality Operations, the Quality Specialist ensures quality and compliance of products manufactured by the functional area, adherence to Good Manufacturing and Documentation Practices, and represents quality on the shop floor. This is a Dublin based role within a leading Biotech multinational

Key Responsibilities

  • Responsible for review/approval of new and updated Master Batch Records / Electronic Batch Records

  • Review and approve production documentation such as executed electronic batch records and logbooks to ensure accuracy and compliance with cGMPs and company procedures

  • Provides presence on the shop floor to support compliance and data integrity

  • Review and approve new and updated SOPs/ Work Instructions and Controlled Job Aides

  • Actively participates in the Tier process and uses this forum to make issues visible and to partner with the functional area on resolution

  • QA support, review and approval of Commissioning and Qualification lifecycle documents for capital projects and new equipment.

  • Will serve as the Quality SME for Performance qualification (PQ) activities across the site including but not limited to: Equipment, Facility and Utility PQ studies, Cleaning Validation, SIP, process validation

  • Support sustaining activities such as Change Management, Deviations, CAPAs, Equipment Requalification and Periodic review, Site Maintenance & Calibration Program

  • Provides support to internal audits and regulatory inspections

    Required

  • Bachelor degree, in a scientific or engineering field (preferred); candidates with degrees in other fields will be considered if accompanied by significant relevant experience

  • Minimum 5 years of relevant post-degree work experience in GMP Manufacturing, Quality Assurance or Laboratory environment, Pharmaceutical/Biological Quality, Operations, Technical, or Regulatory function supporting manufacturing or laboratory operations.

  • This role requires a seasoned professional with the expertise with at least 5 years working knowledge in the biotech industry with specific understanding of QA operations an advantage as well as Regulatory agency engagement.

  • Evidence of leadership skills coupled with good oral and written communication skills

  • Understanding of cGMPs and of regulatory requirements as they apply to the pharmaceutical field or a related area

  • Demonstrated interpersonal skills including flexibility, collaboration and inclusion skills and ability to work in a team environment

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Where to Advertise Data Science Jobs in the UK (2026 Guide)

Where to advertise data science jobs UK in 2026: the specialist boards, communities and channels that actually reach senior and lead data science talent. Data science spans a broad and often misunderstood spectrum — from statistical modelling and experimental design through to machine learning engineering, product analytics and AI research. The strongest candidates identify firmly with specific subdisciplines and are frustrated by adverts that conflate data scientist with data analyst, business intelligence developer or machine learning engineer. General job boards produce high application volumes for data roles but consistently fail to match specialist data science profiles with the right opportunities. This guide, published by DataScienceJobs.co.uk, covers where to advertise data science roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Data Science Jobs UK 2026: What to Expect Over the Next 3 Years

Data Science Jobs UK 2026: roles, salaries and the trends shaping UK data science hiring over the next three years — from MLE crossover to GenAI workflows. Data science has spent the past decade being described as the sexiest job of the twenty-first century. By 2026, the reality is both more nuanced and more interesting than that label ever suggested. The discipline has matured, fragmented, deepened, and in some respects reinvented itself — and the jobs market has changed with it in ways that create genuine opportunity for those who understand what employers actually want, and genuine difficulty for those still operating on assumptions formed five years ago. The data science jobs market of 2026 is not simply a larger version of what it was three years ago. The generalist data scientist — equally comfortable wrangling data, building models, and presenting insights to the board — is giving way to a more specialised landscape where employers know exactly what problem they are trying to solve and are looking for candidates with the specific depth to solve it. Machine learning engineering, causal inference, experimentation, AI product development, and domain-specific applied science have all emerged as distinct career tracks within what was previously a single, loosely defined profession. At the same time, the arrival of large language models and the broader AI capability wave has both threatened and created data science roles in equal measure. Some of the work that junior data scientists spent their early careers doing — data cleaning, exploratory analysis, basic model building — is being partially automated by AI tooling. But the demand for practitioners who can evaluate AI systems rigorously, apply statistical thinking to complex business problems, and build the data foundations on which AI depends has grown considerably. The candidates who will thrive over the next three years are those who understand where the discipline is heading — which specialisms are attracting the most investment, which technologies are reshaping what data scientists are expected to build and know, and how to position a data science career that will remain valuable as the field continues to evolve around them. This article breaks down what the UK data science jobs market is likely to look like through to 2028 — covering the titles emerging right now, the technologies driving employer demand, the skills that will matter most, and how to position your career ahead of the curve.

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

New Data Science Employers to Watch in 2026: a UK and international shortlist of analytics and AI companies hiring data scientists, ML engineers and analysts. Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.