Data Scientist/Bioinformatician - Image and Data Analysis Department (Full Time)

HistologiX
Nottingham
1 day ago
Create job alert

HistologiX is a trusted GLP & GCP compliant CRO with expertise in tissue-based biomarker analysis.

We help our clients visualise and understand how their drug or device is influencing key biomarkers at the cellular and tissue level. Working collaboratively, our experienced scientific team provides a bespoke service allowing our clients to make the most of our expertise in histology, immunohistochemistry (IHC) including multiplex immunofluorescence, in situ hybridisation (ISH) & cutting-edge digital image analysis (IA).

Job Description

Due to continued growth, we have an exciting opportunity for a Data Scientist/Bioinformatician to join our Image and Data Analysis Department. The successful candidate will play a key role in advancing digital pathology solutions by developing and applying computational methods to analyse histopathology images by using Visiopharm software and extracting, interpreting, and visualising datasets by using R and Python, to generate valuable insights for drug development and biomarker research.

Key Responsibilities & Duties
  • Support the development of deep learning-based algorithms for tissue segmentation and biomarker quantification for analysis of histopathology brightfield and fluorescent images.
  • Perform data manipulation, visualisation and statistical analysis.
  • Collaborate with wet lab scientists and computational scientists to optimise image analysis pipelines.
  • Provide support in interpreting and presenting data in a meaningful way to internal teams and external clients.
  • Ensure quality control and reproducibility in digital pathology analyses.
  • Conduct spatial analyses of tissue features and cell phenotypes to extract biologically relevant insights.
Skills and Attributes
  • Proficiency in programming languages such as Python or R for data analysis (essential).
  • Familiarity with statistical analysis and data visualization tools (essential).
  • Experience with image analysis tools (e.g., Visiopharm, HALO, QuPath) (highly desirable).
  • Basic knowledge of histology, histopathology and IHC principles (highly desirable).
  • Strong analytical and problem-solving skills with high attention to detail.
  • Strong organizational skills with high attention to detail and ability to work efficiently to meet defined timelines.
  • Excellent communication skills to work effectively in a cross-disciplinary team.
Qualifications and Experience
  • Degree or higher qualification in Data Science, Bioinformatics, Computer Science or a related Life Science field.

The role will be based at BioCity Nottingham, with regular business hours.

For all our roles, a client-focused approach with strong scientific expertise is key to our business. If you are passionate about digital pathology and data manipulation and eager to contribute to the advancement of image-based research in a dynamic and growing organization, we would love to hear from you!

If this sounds like you, please submit your CV and covering letter to Cristina Suanno, Head of Image and Data Analysis, by 27th February.


#J-18808-Ljbffr

Related Jobs

View all jobs

Digital Pathology Data Scientist & Bioinformatician

Computational Biologist / Bioinformatics Data Scientist

Data Scientist - Imaging - Remote - Outside IR35

Data Scientist - Measurement Specialist

Data Scientist (Predictive Modelling) – NHS

Data Scientist, United Kingdom - BCG X

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.

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

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

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

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

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

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.