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

Nominate & Attend

Senior Bioinformatician

Quantori
Glasgow
5 months ago
Applications closed

Related Jobs

View all jobs

Lead Bioinformatics Engineer (we have office locations in Cambridge, Leeds & London)

Principal / Senior Data Scientist

Senior Vehicle Performance Engineer

Senior Data Engineer

Senior Operational Analyst

Senior Data Engineer - dbt, Snowflake, AWS, Airflow

We are seeking a skilled and motivated Senior Bioinformatician / Data Scientist to join our dynamic team at Quantori. In this role, you will have the opportunity to work on a diverse range of projects, utilizing your expertise in bioinformatics and data science to tackle complex scientific challenges. As a key member of our team, you will contribute to the development and application of cutting-edge computational methods and algorithms, enabling our clients to gain valuable insights from their data


Responsibilities:


  • Collaborate closely with clients to understand their specific research goals and design tailored bioinformatics and data analysis solutions.
  • Collaborate with interdisciplinary teams of biologists, geneticists, and data scientists to develop and implement computational strategies for analyzing large-scale biological datasets.
  • Develop and implement computational pipelines and workflows for processing and analyzing diverse biological data types, including genomics, transcriptomics, proteomics, and metabolomics.
  • Participate in developing pipelines for processing NGS data (single-cell and bulk RNA-seq) by using Nextflow.
  • Perform statistical analysis and data mining to identify patterns, correlations, and biomarkers.
  • Apply statistical modeling and machine learning techniques to identify patterns, correlations, and predictive models from large-scale datasets
  • Stay up-to-date with the latest advancements in bioinformatics and contribute to the continuous improvement of existing methodologies and algorithms.
  • Present findings and results to internal teams and external stakeholders in a clear and concise manner.


What we expect:


  • Experience in: Unix, SQL databases (PostgreSQL), REST APIs, Cloud computing (AWS), and HPC (High Performance Computing)
  • Solid understanding of bioinformatics concepts, algorithms, and tools
  • Proven experience in analyzing high-throughput genomic, transcriptomic, or proteomic data
  • Hands-on experience with creating single-cell and bulk RNA-seq data processing pipelines
  • Proficiency in pipeline development using Nextflow (preffered), Cromwel or other popular framework
  • Programming skills: Solid Python programming skills, as well as experience in other programming languages and experience with relevant bioinformatics software and tools
  • Solid knowledge of statistical analysis, machine learning, and data mining techniques
  • English level B2 or higher
  • Strong communication and negotiation skills in interactions with the research scientists


Nice to have:


  • Experience in next-generation sequencing (NGS) data analysis and variant calling
  • Knowledge of structural bioinformatics and molecular modeling
  • Familiarity with cloud computing platforms and big data analysis frameworks
  • Prior experience in the analysis of single-cell RNA sequencing (scRNA-seq) or single-cell genomics data
  • Familiarity with cloud computing platforms and big data analysis frameworks
  • Experience with processing scTCR and scCITE-seq data
  • Experience with deploying pipelines to AWS
  • Familiarity with Cell Ranger and/or TRUST4 software packages
  • Strong communication and interpersonal skills with the ability to effectively collaborate with cross-functional teams and communicate complex concepts to non-technical stakeholders
  • Experience with orchestration tools and virtualized environments (Docker, K8S)
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.

How to Present Machine Learning Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

Machine learning is driving change across nearly every industry—from retail and finance to health and logistics. But while the technology continues to evolve rapidly, the ability to communicate it clearly has become just as important as building the models themselves. Whether you're applying for a junior ML engineer role, a research position, or a client-facing AI consultant job, UK employers increasingly expect candidates to explain complex machine learning solutions to non-technical audiences. In this guide, you’ll learn how to confidently present your work, structure your message, use simple visuals, and explain the real-world value of machine learning in a way that makes sense to people without a background in data science.

Machine Learning Jobs UK 2025: 50 Companies Hiring Now

Bookmark this page—we refresh the Hotlist every quarter so you always know who’s really scaling their ML teams. The UK’s National AI Strategy, a £2 billion GenAI accelerator fund and a record flow of private capital have kicked ML hiring into overdrive for 2025. Whether you build production‑grade LLM services or optimise on‑device models for edge hardware, employers need your skills now. Below you’ll find 50 organisations that advertised UK‑based machine‑learning vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the type of employer—and mission—that excites you. For each company we list: Main UK hub Example live or recent vacancy Why it’s worth a look (stack, impact, culture) Search any employer on MachineLearningJobs.co.uk to see real‑time adverts, or set a free alert so fresh openings drop straight in your inbox.

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.