Analytical Chemist

Runcorn
10 months ago
Applications closed

Related Jobs

View all jobs

Finance Data Analyst

Data Analyst

Data Analyst

Data Analyst – Demand Planning & Supply Chain

Data Analyst (Salesforce & Excel)

Research Data Analytics Expert

You are purpose driven. Growth minded. Ready to stretch your potential. That’s the spirit of the community you’ll find at Orbia: where the purpose to advance life around the world drives our global team of over 23,000 every single day.

From creating solutions to deliver clean water, secure food supplies and reliable information to steering material advances that power the future of green and smart cities, transportation, and healthcare, we never settle for “good enough” when there’s an opportunity to make life better. Where purpose comes to life, it changes lives. This is what we live for.

Fluor and Energy Materials, an Orbia business, is looking for an Analytical Chemist to be based at Rocksavage, Runcorn, UK.

Main Purpose

To provide Medical Products manufacturing, packing operations and customers with a Quality Control analysis service so that process control, product quality, and current Good Manufacturing Practice (cGMP) requirements are satisfied.

Main Responsibilities

  • To accurately analyse, validate and record results for samples from the medical products operation to ensure that production processes and final product quality is controlled within the agreed limits.

  • Organising delivery of QC test service to support 24/7 production plans and timescales.

  • To review and validate the analysis of the shift analysts in line with operating requirements.

  • Act as SME for training, mentoring and support of QC analysts.

  • Ensure QC laboratories are cGMP compliant, ensuring audit readiness, and all QC records are maintained for data integrity according to ALCOA principles.

  • Advise analysts on investigation of Out of Specification and atypical results, taking over complex investigations where required.

  • Deviations are investigated utilising root cause analysis tools and appropriate CAPA are implemented.

  • Ensure all sample, analysis and testing work is carried out in full compliance with cGMP and SHE standards.

  • Drive Continuous improvement activities.

  • Management and delivery of stability trials.

  • Management of laboratory consumables and stock levels to ensure constant laboratory support for production and packing operations.

  • Deputise for the Quality Control Team Leader with others to ensure there is always a point of contact for reference and escalation.

    Qualifications

    Minimum: HNC/HND Chemistry.

    Desirable: Degree in Chemistry or related subject.

    Knowledge/ Experience Required

  • Knowledge and experience of working to cGMP standards.

  • Understanding of QC in the pharmaceutical industry.

  • Experience of working in a QC laboratory preferably one working to cGMP standards.

    Behaviours that can help you succeed at Orbia:

  • Develop yourself & Others

  • Foster Collaboration & Inclusion

  • Drive Results

  • Provide Vision & Direction

    We welcome purpose-driven dreamers, doers, and builders, recognizing that it takes difference to make a difference. If you’re ready to bring your skills, talents, and perspective to moving your career, the company, people, and the planet forward, we’d like to hear from you.

    We believe that every voice matters; every community deserves respect; and every challenge is an opportunity and united by empathy, we are stronger for our different perspectives. We are dedicated to building a more diverse, inclusive, and equitable workplace that supports the needs of all our employees regardless of their role, location, identity, and background

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.

Careers

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.

Jobs

What Hiring Managers Look for First in Data Science Job Applications (UK Guide)

If you’re applying for data science roles in the UK, it’s crucial to understand what hiring managers focus on before they dive into your full CV. In competitive markets, recruiters and hiring managers often make their first decisions in the first 10–20 seconds of scanning an application — and in data science, there are specific signals they look for first. Data science isn’t just about coding or statistics — it’s about producing insights, shipping models, collaborating with teams, and solving real business problems. This guide helps you understand exactly what hiring managers look for first in data science applications — and how to structure your CV, portfolio and cover letter so you leap to the top of the shortlist.

Education

The Skills Gap in Data Science Jobs: What Universities Aren’t Teaching

Data science has become one of the most visible and sought-after careers in the UK technology market. From financial services and retail to healthcare, media, government and sport, organisations increasingly rely on data scientists to extract insight, guide decisions and build predictive models. Universities have responded quickly. Degrees in data science, analytics and artificial intelligence have expanded rapidly, and many computer science courses now include data-focused pathways. And yet, despite the volume of graduates entering the market, employers across the UK consistently report the same problem: Many data science candidates are not job-ready. Vacancies remain open. Hiring processes drag on. Candidates with impressive academic backgrounds fail interviews or struggle once hired. The issue is not intelligence or effort. It is a persistent skills gap between university education and real-world data science roles. This article explores that gap in depth: what universities teach well, what they often miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in data science.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.