Senior QC Analyst

Mossley Hill
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer - Azure, BI & Data Strategy

Senior Data Engineer

Senior Business Intelligence Manager

Senior Data Engineer

Job Title: Senior QC Analayst

Location: North West England

Position Type: Full-Time

Industry: Pharmaceutical

Company Overview: The QC Analyst role is at a leading Pharmaceutical company in the North West of England, our client has a wide port folio of licenced and non-licenced products
The site has significantly expanded over the years to increase production capacity and now are looking to recruit Quality analysts to support this expansion.

Senior QC Analyst Responsibilities:

• Conduct routine and non-routine analysis of finished pharmaceutical products using techniques such as HPLC (High-Performance Liquid Chromatography) in compliance with GMP (Good Manufacturing Practices) guidelines.
• Perform method validation and transfer activities, ensuring all analytical methods meet regulatory and quality requirements. Preferable
• Maintain accurate and detailed records of all analytical activities in laboratory notebooks and electronic systems, ensuring data integrity and traceability.
• Analyse and interpret analytical data, identifying trends, deviations, and potential issues. Report and investigate any out-of-specification (OOS) results in accordance with company procedures.
• Participate in laboratory investigations and CAPA (Corrective and Preventive Action) processes to ensure continuous improvement and compliance.
• Support the development, validation, and implementation of new analytical methods and techniques to enhance laboratory capabilities and efficiency.
• Collaborate with cross-functional teams, including R&D, Production, and Quality assurance, to ensure timely and effective resolution of quality issues and support product development initiatives.
• Ensure compliance with all relevant regulatory requirements, including GMP, ICH (International Conference on Harmonisation), and FDA (Food and Drug Administration) guidelines.

Qualifications and Experience:

• Bachelor's degree in Chemistry, Pharmaceutical Sciences, or a related field. A master's degree is preferred.
• Experience in a pharmaceutical QC laboratory, with a focus on finished product testing.
• Proven experience with HPLC analysis
• method development/validation experience is beneficial.
• In-depth knowledge of quality requirements
• experience working in a GMP-compliant environment preferential.
• Strong analytical skills, attention to detail, and ability to interpret complex data.
• Excellent written and verbal communication skills, with the ability to effectively document and report analytical findings.
• Proficiency in using laboratory software and electronic data management systems.
• Ability to work independently and as part of a team, with a proactive and solutions-oriented mindset.

Benefits:

• Competitive salary
• Opportunities for professional development and career advancement.
• A collaborative and supportive work environment.
• Contribution to meaningful projects that impact patient health and well-being.

Application Process: Interested candidates are invited to apply and should their skillset align with the position I will reach out directly to discuss the opening in more detail.

Note:The client is unable to provide sponsorship

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

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

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

Advertising data science jobs in the UK requires a different approach to most technical hiring. 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.

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

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.

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.