National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Graduate Image Analysis Scientist

Motherwell
3 weeks ago
Create job alert

Join a leading research organisation specialising in digital pathology services to support pre-clinical and clinical pharmaceutical R&D. As part of their continued expansion, they are seeking an Image Analysis Scientist to join their growing team.

This dynamic organisation offers an opportunity to make a meaningful impact on advancing research and accelerating the development of new medicines. You will benefit from career progression and personal development opportunities, making it an ideal environment for motivated individuals eager to learn, grow, and contribute to innovative solutions.

THE ROLE:
You will support Scientists in conducting computer-based image analysis of histopathology sections, generating high-quality quantitative data for clients. Working within a friendly, efficient, and collaborative team, you will apply your biology expertise and computing skills with a focus on precision and accuracy. The role involves:

Conducting image analysis using advanced, state-of-the-art systems.
Extracting, organising, and summarising data using Excel spreadsheets.
Creating graphical representations of data and performing statistical analyses.
Contributing to the development of high-quality written reports.
Ensuring seamless implementation of client study requirements through effective communication via email, teleconferences, online platforms, or in-person meetings.
KEY SKILLS & EXPERIENCE:

Relevant degree in life sciences or data science.
Experience in pathology/histology would be advantageous.
Familiarity with image analysis software would be beneficial, but not required.
Strong attention to detail and a commitment to perform tasks accurately and to a high standard.
Proficiency in Microsoft Word, Excel, and PowerPoint.

LOCATION
The role offers a hybrid working arrangement, combining home and office-based work. Employees are required to work at least two days per week in the office, (three days per week for the first six months of employment). The office is located at BioCity Glasgow, which provides free on-site parking. 

SALARY & BENEFITS:

£26,000 - £32,000, dependent on experience.
32 days holiday per annum.
A voluntary time accrual (overtime) system providing the opportunity for an extra 12 days' holiday per annum.
Contributory pension scheme with enhanced employer contribution
Perkbox: a huge range of benefits and discounts.
Home office setup assistance.
Hybrid working.
On-site gym.
If you want to join a supportive and diverse team, and develop your career in a dynamic company, apply today.

Applicants must currently have the right to work in the UK at the time of application.

Candidate Source Ltd is an advertising agency. Once you have submitted your application it will be passed to the third party Recruiter who is responsible for processing your application. This will include holding and sharing your personal data, our legal basis for this is legitimate interest subject to your declared interest in a job. Our privacy policy can be found on our website and we can be contacted to confirm who your application has been forwarded to

Related Jobs

View all jobs

Machine Vision Internship – Paid AI Opportunity

Graduate-Statistics/Mathematics

Graduate / Junior Technology Consultant

Graduate Marketing Executive

Graduate BIM Technician

Graduate / Junior BI Developer

National AI Awards 2025

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.

LinkedIn Profile Checklist for Data Science Jobs: 10 Tweaks to Elevate Recruiter Engagement

Data science recruiters often sift through dozens of profiles to find candidates skilled in Python, machine learning, statistical modelling and data visualisation—sometimes before roles even open. A generic LinkedIn profile won’t suffice in this data-driven era. This step-by-step LinkedIn for data science jobs checklist outlines ten targeted tweaks to elevate recruiter engagement. Whether you’re an aspiring junior data scientist, a specialist in MLOps, or a seasoned analytics leader, these optimisations will sharpen your profile’s search relevance and demonstrate your analytical impact.

Part-Time Study Routes That Lead to Data Science Jobs: Evening Courses, Bootcamps & Online Masters

Data science sits at the intersection of statistics, programming and domain expertise—unearthing insights that drive business decisions, product innovation and research breakthroughs. In the UK, organisations from fintech and healthcare to retail and public sector are investing heavily in data-driven strategies, fuelling unprecedented demand for data scientists, machine learning engineers and analytics consultants. According to recent projections, data science roles will grow by over 40% in the next five years, offering lucrative salaries and varied career paths. Yet many professionals hesitate to leave their current jobs or pause personal commitments for full-time study. The good news? A vibrant ecosystem of part-time learning routes—Evening Courses, Intensive Bootcamps and Flexible Online Master’s Programmes—empowers you to learn data science while working. This comprehensive guide explores every pathway: foundational CPD units and short courses, hands-on bootcamps, accredited online MScs, plus funding options, planning strategies and a real-world case study. Whether you’re an analyst looking to formalise your skills, a software developer pivoting into data or a manager seeking to harness data-driven decision-making, you’ll find the right route to fit your schedule, budget and career goals.

The Ultimate Assessment-Centre Survival Guide for Data Science Jobs in the UK

Assessment centres for data science positions in the UK are designed to replicate the multifaceted challenges of real-world analytics teams. Employers combine psychometric assessments, coding tests, statistical reasoning exercises, group case studies and behavioural interviews to see how you interpret data, build models, communicate insights and collaborate under pressure. Whether you’re specialising in predictive modelling, NLP or computer vision, this guide provides a step-by-step roadmap to excel at every stage and secure your next data science role.