QC Analyst

Haverhill
11 months ago
Applications closed

Related Jobs

View all jobs

QC Analyst (QC Incoming and Components) (12 Month FTC)

QC Analyst

Microbiology Manager (12 Month Fixed Term Contract)

Field-Based Biomedical Application Specialist

QC Sample Management Team Supervisor (18 month Fixed Term Contract)

QC Sample Management Team Supervisor (18 month Fixed Term Contract)

Our client is a leading chemical development business based in Haverhill, committed to delivering high-quality products and innovative solutions. As part of their continued growth, they are seeking a skilled Quality Control Analyst to join their team based in Haverhill on a permanent basis.
QC Analyst responsibilities
The Quality Control Analyst will be an integral part of the Quality, Health, Safety, and Environment (QHSE) team, working closely with the QC team to ensure compliance with company and client specifications. This role involves conducting chemical analyses using a variety of analytical techniques to support production, research, and development activities.
Key Responsibilities

  • Perform chemical analysis of raw materials, intermediates, and final products using GC, HPLC, FTIR, KF, and titrations to support production and client requirements.
  • Prepare samples for testing and ensure accurate documentation of results in compliance with company policies and industry standards.
  • Maintain and update analytical methods, specifications, and standard operating procedures (SOPs).
  • Ensure all quality control activities are conducted safely and under QHSE regulations.
  • Support research and development projects by providing analytical expertise and assisting with method development.
  • Enter and manage test results within the ERP system and company records database.
  • Troubleshoot technical issues related to QC equipment and analytical methods, engaging with suppliers and colleagues when necessary.
  • Assist with internal audits, process improvements, and non-routine analytical tasks as directed by the QC Lead.
  • Provide cover for the QC Lead during planned and unplanned absences.
  • Communicate effectively with employees, auditors, suppliers, and clients to ensure quality standards and requirements are met.
    QC Analyst requirements
  • A degree in Organic or Analytical Chemistry (or equivalent experience in a QC role).
  • Practical knowledge and hands-on experience with GC, HPLC, FTIR, KF, and titrations.
  • Proficiency in Microsoft Office Suite (Word, Excel, etc.).
  • Previous experience working within a commercial analytical/quality control lab – ideally chemical or pharmaceutical industry.
  • Experience working with ERP systems for data entry and record management.
  • Exposure to analytical equipment, chemicals, and production environments.
  • Compliance with PPE and safety procedures at all times.
  • Flexibility to adjust work hours based on production needs.
    £Comp + excellent company benefits
    QC Analyst/Chemistry/HPLC/GCMS/Titrations/Laboratory/Chemicals

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.

Biotechnology Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Biotechnology is often portrayed as a young person’s game. White lab coats, fresh PhDs & long academic pipelines dominate the image. In reality, the UK biotechnology sector relies heavily on career switchers, mid-career professionals & people bringing experience from outside science. If you are in your 30s, 40s or 50s & thinking about moving into biotechnology, this article gives you a clear-eyed, UK-specific reality check. No hype. No Americanised career myths. Just an honest look at which biotech jobs are realistic, what retraining actually involves & how employers really think about age & background.

How to Write a Biotechnology Job Ad That Attracts the Right People

Biotechnology is one of the UK’s most diverse and fast-moving sectors. From biopharma and diagnostics to industrial biotech, medtech and life sciences research, employers are competing for highly specialised talent with scarce, in-demand skills. Yet many biotechnology employers struggle with the same problem: job adverts that attract the wrong candidates. Roles are often flooded with unsuitable applications, while highly qualified scientists, engineers and regulatory professionals either do not apply or disengage early in the process. In most cases, the issue is not the talent pool — it is the job advert itself. Biotechnology professionals are trained to think critically, assess evidence and understand context. If a job ad is vague, inflated or poorly targeted, it signals a lack of clarity and credibility — and strong candidates simply move on. This guide explains how to write a biotechnology job ad that attracts the right people, improves applicant quality and positions your organisation as a serious, trustworthy employer in the life sciences sector.

Maths for Biotech Jobs: The Only Topics You Actually Need (& How to Learn Them)

Biotechnology is packed with data. Whether you are applying for roles in drug discovery, clinical research, bioprocessing, diagnostics, genomics or regulated manufacturing, you will meet numbers every day: assay readouts, QC trends, dose response curves, sequencing counts, clinical endpoints, stability profiles, validation reports & risk assessments. If you are a UK job seeker moving into biotech from another sector or you are a student in biology, biochemistry, biomedical science, pharmacy, chemistry, engineering or computer science, it is normal to worry you “do not have the maths”. What biotech roles do need is confidence with a small set of practical topics that show up again & again. This guide focuses on the only maths most biotech job adverts quietly assume: • Biostatistics basics for experiments, evidence & decision making • Probability for variability, uncertainty & risk • Linear algebra essentials for omics, PCA & modelling workflows • Calculus basics for kinetics, rates & dose response intuition • Simple optimisation for curve fitting, process set points & model tuning