Bioinformatician

Edinburgh
9 months ago
Applications closed

Job Title: Bioinformatician

Location: Edinburgh (Hybrid 2-3 Days On-site)

Salary: £40,000 - 60,000 D.O.E

Our client is seeking a talented bioinformatician to join their dynamic team in Edinburgh. This hybrid role requires the candidate to be based in, or willing to relocate to, Edinburgh.

Key Responsibilities:

Develop and implement novel pipelines for single-cell and spatial transcriptomic data analysis.
Assist in constructing and maintaining internal databases.
Collaborate closely with the Bioinformatics team to advance our target discovery platform.
Engage extensively with colleagues at our Cambridge R&D site.Responsibilities Include:

Running single-cell and single-nuclei RNA-seq analytical pipelines to identify therapeutic targets.
Establishing spatial transcriptomic analysis pipelines.
Keeping abreast of the latest methodologies in single-cell genomics.
Working collaboratively with the scientific team and external partners.
Effectively communicating and presenting data to various audiences.
Maintaining accurate electronic records and code repositories.
Contributing to the development of the drug discovery platform.Experience and Requirements:

Essential:

PhD or Masters in a relevant scientific discipline, or equivalent industry experience.
Proficiency in single-cell transcriptome/genome data analysis.
Experience in analysing and interpreting large datasets.
Competence in statistical (e.g., R) and programming (e.g., Python, Java) languages.
Strong analytical and statistical skills.
Excellent communication skills in English.
Good interpersonal and time management skills.
Ability to work independently and troubleshoot new techniques.
Ambition to contribute to a transformative company.Desirable:

Experience with 10x Genomics Chromium single-cell or single-nuclei transcriptomics data.
Experience with 10x Genomics Xenium or VisiumHD spatial transcriptomics data.
Experience in pipeline construction and implementation with Nextflow.
Interest in machine learning applications in bioinformatics.In Technology Group Ltd is acting as an Employment Agency in relation to this vacancy

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.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

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.