Lab Technician

Slough
1 month ago
Applications closed

Related Jobs

View all jobs

RF Engineer

Research Software Engineer

Scientist - Multiomics

Data Scientist / Comp Biologist

A leading Pharmaceutical company based in the Slough area, is seeking a Laboratory Technician to join their team. This role offers the chance to work closely with laboratory-based scientists, providing essential support services. As a Laboratory Technician, you will be instrumental in ensuring that the laboratory operates smoothly and efficiently.

KEY DUTIES AND RESPONSIBILITIES:

Your duties as the Laboratory Technician will be varied; however, the key duties and responsibilities are as follows:

  1. As the Lab Technician, you will complete of routine equipment calibration checks and ensuring all equipment is ready for use.

  2. As the Lab Technician, you will generate and technical review of simple analytical buffers for laboratory methods and processes.

  3. As the Lab Technician, you will manage of laboratory consumables, including stock checks, ordering from internal stores, and maintaining cleanliness and tidiness in the washroom environment.

  4. As the Lab Technician, you will process laboratory deliveries, including receipt, storage, notifications, and dispensing of buffers.

    ROLE REQUIREMENTS:

    To be successful in your application to this exciting role as the Laboratory Technician, we are looking to identify the following on your profile and past history:

  5. Relevant degree in a scientific discipline.

  6. Proven industry experience in a laboratory setting.

  7. A working knowledge and practical experience with laboratory equipment calibration, buffer preparation, and consumables management.

    Key Words: Laboratory Technician / Scientific Support / Equipment Calibration / Buffer Preparation / Consumables Management / Laboratory Maintenance / GMP / Data Integrity / Laboratory Services / Bioreactor Preparation / Pharma / Pharmaceutical / Lab Tech / Lab Technician / Buffer / Media / Lab Prep / Biotech / GLP / Good Lab Practice / Bio / Biologics / Biopharma

    Hyper Recruitment Solutions Ltd (HRS) is an Equal Opportunities employer. We welcome applications from anyone who meets the role requirements. HRS exclusively supports the Life Science sectors, combining recruitment expertise with scientific knowledge to help you advance your career

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.