Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior scientist (Immunology and data science)

IMU Biosciences
London
11 months ago
Applications closed

Related Jobs

View all jobs

Senior / Lead Data Scientist - AI Agents - Outside IR35

Senior Data Scientist - Consumer Behaviour - exciting ‘scale up’ proposition

Senior Data Scientist - Financial Services - Outside IR35

Senior Data Scientist - Computer Vision

Data Scientist

Staff Data Science

Job Description

About us

Our immune system plays a central role in maintaining our health and well-being. Understanding its complexity has led to the development of some of the most innovative and exciting therapies. Our mission at IMU Biosciences is to characterise and understand the granular structure of the immune system, and to use that knowledge to improve human health through(i) the advancement of precision medicine, (ii) the development of diagnostics that enable earlier detection of disease, and (iii) the identification of more effective methods of targeting the immune system to treat disease.

We are a multidisciplinary team of world-leading scientists, software engineers, and statisticians who are passionate about changing the face of medicine by leveraging the power and insight of the immune system. Our work lies at the interface of high-throughput immune profiling and machine learning to understand the complexity of the immune system across health and disease. We are a diverse team in an early-stage startup that values creativity and innovation, offering a dynamic environment where your ideas can truly make an impact on health outcomes.

About the job

As a Senior Scientist in the Discovery team you will be responsible for analysis and interpretation of deep immunophenotyping experiments, supporting innovation in IMU’s proprietary immune mapping platform and delivering client projects. The role will rely on both a solid understanding of immunological science and a strong proficiency in data science approaches, using these skills to proactively drive projects forward. Given the interdisciplinary nature of the role, the candidate will be able to collaborate extensively across the company, especially with members of our R&D, Data Science and Engineering teams. As it is primarily a data science role, this position will not require routine wet lab work, but prior experience in flow cytometry and handling of human samples will be valuable. IMU also employs a hybrid working policy that will require regular onsite working in central London.

Skills, knowledge and experience

Essential Criteria

  • PhD in a relevant area such as basic, translational or systems immunology, with 3+ years ofpost-doctoral or industry experience
  • Strong background in immunological research and awareness of the current state of the field, including emerging trends
  • Proficiency in data processing, advanced statistical analysis and data visualisation in R
  • Competency with git/github and reproducible coding practices
  • Experience running and/or building bioinformatics pipelines
  • Curation and interrogation of large biological datasets (e.g. flow cytometry, transcriptomics, clinical metadata)
  • Experience in multi-parameter flow cytometry or mass cytometry
  • Strong foundational scientific skills, including experimental design and interpretation,critical thinking and strategic decision-making
  • Excellent communication skills and ability to collaborate effectively across multidisciplinary teams
  • Right to work in the United Kingdom

Desirable Criteria

  • Experience handling multiomics data
  • Familiarity working with human blood and tissue samples
  • R package development and maintenance
  • Scientific publications showcasing your data science skills
  • Experience with patent filings

Responsibilities

  • Perform rigorous and biologically-informed systems immunology analysis of internal and external immunophenotyping datasets
  • Design and coordinate experiments to drive innovation of IMU’s immune mapping engine
  • Collaborate closely with data scientists to support design and interpretation of advanced statistical and machine learning-driven IMU platform output
  • Provide expert advice to other teams based upon an up-to-date awareness of the field of immunology
  • Contribute to preparation of summary reports and presentations
  • Contribute to manuscript preparation and publication

The above list of responsibilities may not be exhaustive, and the post holder will be required to undertake such tasks and responsibilities as may reasonably be expected within the scope, purpose and grading of the post.

Benefits

  • Fast-paced startup culture where everyone’s perspective truly matters
  • Career development support e.g. training courses, scientific conferences
  • Excellent opportunities for advancement as the company grows
  • Brand new state of the art facilities in central London
  • Working on cutting edge of translational research
  • Embedding in a talented multidisciplinary team
  • Competitive salary based on experience

J-18808-Ljbffr

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.

Why the UK Could Be the World’s Next AI Jobs Hub

Artificial Intelligence (AI) has rapidly moved from research labs into boardrooms, classrooms, hospitals, and homes. It is already reshaping economies and transforming industries at a scale comparable to the industrial revolution or the rise of the internet. Around the world, countries are competing fiercely to lead in AI innovation and reap its economic, social, and strategic benefits. The United Kingdom is uniquely positioned in this race. With a rich heritage in computing, world-class universities, forward-thinking government policy, and a growing ecosystem of startups and enterprises, the UK has many of the elements needed to become the world’s next AI hub. Yet competition is intense, particularly from the United States and China. Success will depend on how effectively the UK can scale its strengths, close its gaps, and seize opportunities in the years ahead. This article explores why the UK could be the world’s next global hub for artificial intelligence, what challenges it must overcome, and what this means for businesses, researchers, and job seekers.

The Best Free Tools & Platforms to Practise AI Skills in 2025/26

Artificial Intelligence (AI) is one of the fastest-growing career fields in the UK and worldwide. Whether you are a student exploring AI for the first time, a graduate looking to build your portfolio, or an experienced professional upskilling for career growth, having access to free tools and platforms to practise AI skills can make a huge difference. In this comprehensive guide, we’ll explore the best free resources available in 2025, covering AI coding platforms, datasets, cloud tools, no-code AI platforms, online communities, and learning hubs. These tools allow you to practise everything from machine learning models and natural language processing (NLP) to computer vision, reinforcement learning, and large language model (LLM) fine-tuning—without needing a huge budget. By the end of this article, you’ll have a clear roadmap of where to start practising your AI skills for free, how to build real-world projects, and which platforms can help you land your next AI job.

Top 10 Skills in Artificial Intelligence According to LinkedIn & Indeed Job Postings

Artificial intelligence is no longer a niche field reserved for research labs or tech giants—it has become a cornerstone of business strategy across the UK. From finance and healthcare to manufacturing and retail, employers are rapidly expanding their AI teams and competing for talent. But here’s the challenge: AI is evolving so quickly that the skills in demand today may look different from those of just a few years ago. Whether you’re a graduate looking to enter the industry, a mid-career professional pivoting into AI, or an experienced engineer wanting to stay ahead, it’s essential to know what employers are actually asking for in their job ads. That’s where platforms like LinkedIn and Indeed provide valuable insight. By analysing thousands of job postings across the UK, they reveal the most frequently requested skills and emerging trends. This article distils those findings into the Top 10 AI skills employers are prioritising in 2025—and shows you how to present them effectively on your CV, in interviews, and in your portfolio.