Senior QC Analyst

Mossley Hill
1 month ago
Applications closed

Related Jobs

View all jobs

Principal Biostatistician

Senior Electronics Test Engineer

Senior Information Manager

Senior Salesforce Business Analyst

Senior Financial Accountant

Senior Test Lead Engineer | Network Services

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

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Portfolio Projects That Get You Hired for Data Science Jobs (With Real GitHub Examples)

Data science is at the forefront of innovation, enabling organisations to turn vast amounts of data into actionable insights. Whether it’s building predictive models, performing exploratory analyses, or designing end-to-end machine learning solutions, data scientists are in high demand across every sector. But how can you stand out in a crowded job market? Alongside a solid CV, a well-curated data science portfolio often makes the difference between getting an interview and getting overlooked. In this comprehensive guide, we’ll explore: Why a data science portfolio is essential for job seekers. Selecting projects that align with your target data science roles. Real GitHub examples showcasing best practices. Actionable project ideas you can build right now. Best ways to present your projects and ensure recruiters can find them easily. By the end, you’ll be equipped to craft a compelling portfolio that proves your skills in a tangible way. And when you’re ready for your next career move, remember to upload your CV on DataScience-Jobs.co.uk so that your newly showcased work can be discovered by employers looking for exactly what you have to offer.

Data Science Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Data science has become one of the most sought‑after fields in technology, leveraging mathematics, statistics, machine learning, and programming to derive valuable insights from data. Organisations across every sector—finance, healthcare, retail, government—rely on data scientists to build predictive models, understand patterns, and shape strategy with data‑driven decisions. If you’re gearing up for a data science interview, expect a well‑rounded evaluation. Beyond statistics and algorithms, many roles also require data wrangling, visualisation, software engineering, and communication skills. Interviewers want to see if you can slice and dice messy datasets, design experiments, and scale ML models to production. In this guide, we’ll explore 30 real coding & system‑design questions commonly posed in data science interviews. You’ll find challenges ranging from algorithmic coding and statistical puzzle‑solving to the architectural side of building data science platforms in real‑world settings. By practising with these questions, you’ll gain the confidence and clarity needed to stand out among competitive candidates. And if you’re actively seeking data science opportunities in the UK, be sure to visit www.datascience-jobs.co.uk. It’s a comprehensive hub featuring junior, mid‑level, and senior data science vacancies—spanning start‑ups to FTSE 100 companies. Let’s dive into what you need to know.

Negotiating Your Data Science Job Offer: Equity, Bonuses & Perks Explained

Data science has rapidly evolved from a niche specialty to a cornerstone of strategic decision-making in virtually every industry—from finance and healthcare to retail, entertainment, and AI research. As a mid‑senior data scientist, you’re not just running predictive models or generating dashboards; you’re shaping business strategy, product innovation, and customer experiences. This level of influence is why employers are increasingly offering compensation packages that go beyond a baseline salary. Yet, many professionals still tend to focus almost exclusively on base pay when negotiating a new role. This can be a costly oversight. Companies vying for data science talent—especially in the UK, where demand often outstrips supply—routinely offer equity, bonuses, flexible work options, and professional development funds in addition to salary. Recognising these opportunities and effectively negotiating them can have a substantial impact on your total earnings and long-term career satisfaction. This guide explores every facet of negotiating a data science job offer—from understanding equity structures and bonus schemes to weighing crucial perks like remote work and ongoing skill development. By the end, you’ll be well-equipped to secure a holistic package aligned with your market value, your life goals, and the tremendous impact you bring to any organisation.