What Jobs are available for M S in London Colney?

The School has secured multi-million-pound research funding and maintains strong partnerships with UK and international universities, the NHS, charitable organisations, and industry partners. The vision is to establish the School as a world leader in healthcare engineering.

The Research Development Manager is a senior role within the School of Biomedical Engineering & Imaging Sciences, responsible for driving large-scale, high-profile healthcare engineering grants that deliver real-world patient benefits and measurable impact. Working closely with the Head of School, Heads of Research Departments, academic and research staff, and external stakeholders, this role will play a pivotal part in securing funding, fostering strategic collaborations, and facilitating the translation of healthcare engineering innovations into clinical applications.

The Research Development Manager will be instrumental in realizing the School’s vision by providing strategic and operational support, they will support the development and submission of competitive grant applications, fellowships, and funding proposals to governmental agencies, Charities, and industry sponsors. The role requires a strong scientific background, exceptional writing skills, and the ability to translate complex research concepts into clear, compelling narratives tailored to funder priorities.

This is a full time (35 Hours per week), and you will be offered an indefinite contract.

Quantinuum is looking for the next scientist to join the Quantum Error Correction (QEC) team in the United Kingdom. If selected, you will contribute to the architectural design and implementation of our QEC stack. This includes projects from the more abstract discovery of QEC codes with good properties and their universal fault-tolerant (FT) gate sets, passing through the big-picture simulation, distribution and estimation of quantum resources in our future generations of quantum devices, to the more practical design, compilation and decoding of FT or partially-FT QEC primitives and complete algorithms in our existing trapped-ion quantum computers.

Based in the London-Victoria or Cambridge offices, you will be working in a research-focused group with scientific direction from experienced QEC researchers, with a close connection to hardware and software engineers. You will produce research papers and software libraries, with freedom to think independently and creatively, making it an excellent opportunity to advance the theory and practice of quantum computing while developing your professional and academic career.

• Researching QEC methods and FT algorithms to run on real and simulated quantum computers.
• Collaborating with hardware and software engineers to implement existing and new techniques.
• Writing articles and publishing in leading scientific journals.
• Developing software libraries that accelerate the research in QEC.
• Keeping up-to-date with the literature of the field.
• Participate in the day-to-day activities of the QEC team: discussions, journal club, seminars…

• A Ph.D. degree or equivalent – or will have submitted their thesis prior to taking up the position – in Maths, Computer Science, Physics or a related discipline.
• A strong research record showing evidence of your ability to understand the fundamentals of QEC and contribute towards new ideas.
• Communicating scientific ideas clearly and precisely, both verbally and in writing.

• Scientific computing, programming in Python, and preferably one or more of high-speed languages like C++, Rust, Julia.

What is in it for you?

Working alongside a highly talented team, with leading names in the quantum computing industry. We offer a highly competitive package, equity, 28 days of paid holiday (in addition to public holidays), a workplace pension, a positive approach to flexible working and enhanced parental and adoption benefits.

About Us:

Quantinuum is the world's largest integrated quantum company, driving breakthroughs in materials discovery, cybersecurity, and next-generation quantum AI. With a team of more than 600 employees, including more than 420 of them being scientists and engineers, we are leading the worldwide quantum computing revolution.

By uniting best-in-class software with high-fidelity hardware, our integrated full-stack approach is accelerating the path to practical quantum computing and scaling its impact across multiple industries.

As we celebrate the International Year of Quantum, there has never been a more exciting time to be part of this rapidly evolving field. By joining Quantinuum, you'll be at the forefront of this transformative revolution, shaping the future of quantum computing, pushing the limits of technology, and making the impossible possible.

Visit our news pages to learn more about Quantinuum and our scientific breakthroughs and achievements:

Quantinuum Intro Video: The Future of Quantum Computing

Please note that employment with us is subject to successfully passing our pre-employment screening checks. We are an inclusive equal opportunity employer. You will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, or veteran status.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

• Conducting original research in Artificial Intelligence and related fields.
• Developing and implementing novel AI algorithms and models.
• Designing and executing experiments to test hypotheses and validate research findings.
• Analysing large datasets and extracting meaningful insights using advanced statistical methods.
• Collaborating with other researchers and engineers to develop proofs-of-concept and prototypes.
• Contributing to academic publications, conference presentations, and patent applications.
• Staying abreast of the latest advancements and trends in AI research and development.
• Evaluating and integrating new AI technologies and methodologies.
• Mentoring junior researchers and interns.
• Presenting research findings to both technical and non-technical audiences.

• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a closely related discipline.
• Proven track record of research excellence, demonstrated through publications in top-tier AI conferences and journals.
• Strong theoretical and practical knowledge of machine learning, deep learning, and related areas.
• Proficiency in programming languages commonly used in AI research (e.g., Python, C++).
• Experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras.
• Familiarity with relevant AI libraries and tools.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and collaboration abilities, essential for a hybrid team environment.
• Ability to work independently and manage research projects effectively.
• Passion for AI and a drive to contribute to significant advancements in the field.

Job Title: Senior Research Scientist – Immunology

Location: On site in Slough

Role Overview:

Contribute to the advancement of therapeutic candidates throughout the research and clinical development pipeline. Execute translational in vitro assays to assess novel therapies, explore mechanisms of action, and uncover new therapeutic targets.

Key Responsibilities:

• Design and conduct functional assays for screening, mechanism-of-action studies, and target validation.
• Interpret scientific data and resolve technical challenges effectively.
• Collaborate across multiple projects, demonstrating strong communication and teamwork.
• Share findings in cross-functional meetings and ensure accurate documentation of experimental work.
• Complete required training and maintain compliance with internal procedures.
• Adhere to Human Tissue Act (HTA) regulations, ensuring all relevant policies are understood and training is current.
• Promote and maintain safe laboratory practices.

Required Skills & Experience:

• Hands-on experience with immune cell functional assays such as cytotoxicity, proliferation, mixed lymphocyte reactions, and antigen recall.
• Familiarity with Fc-mediated depletion assays including ADCC, ADCP, and CDC.
• Skilled in isolating primary immune cell subsets from whole blood using FACS and MACS.
• Proficient in multi-parameter flow cytometry, including the design of complex antibody panels for immune profiling.
• Competent in data analysis using tools such as FlowJo, GraphPad Prism, Excel, and R.
• Demonstrated compliance with HTA guidelines for handling human cells and tissues.
• Ability to manage multiple projects and prioritize tasks to meet deadlines.

• Lead independent research programs focusing on novel genomic technologies and their applications in human health.
• Design and implement complex experimental protocols using state-of-the-art genomic sequencing and analysis platforms.
• Interpret and analyse large-scale genomic datasets, employing advanced bioinformatics tools and statistical methods.
• Publish high-impact findings in leading peer-reviewed scientific journals.
• Secure competitive research grants and funding from national and international sources.
• Mentor and supervise postdoctoral fellows, research assistants, and PhD students.
• Collaborate effectively with internal research groups and external academic and industrial partners.
• Present research findings at international conferences and symposia.
• Contribute to the strategic development of the genomics research division.
• Ensure adherence to all laboratory safety regulations and ethical guidelines.

• PhD in Genomics, Molecular Biology, Bioinformatics, or a related life sciences discipline.
• Minimum of 10 years of post-doctoral research experience, with a significant track record of independent research and leadership.
• Extensive expertise in next-generation sequencing (NGS) technologies and associated bioinformatics analysis.
• Demonstrated ability to secure significant grant funding.
• A strong publication record in high-impact scientific journals.
• Proven experience in mentoring and supervising scientific staff.
• Excellent analytical, problem-solving, and critical thinking skills.
• Outstanding communication, presentation, and interpersonal skills.
• Proficiency in programming languages commonly used in bioinformatics (e.g., R, Python).
• Experience with diverse genomic data types (e.g., whole-genome, exome, RNA-seq, ChIP-seq).
• Ability to work effectively in a collaborative research environment with a hybrid work model.

• Lead and direct research projects in biotechnology, focusing on (specify area, e.g., gene editing, drug discovery, synthetic biology).
• Design, conduct, and interpret complex experiments, utilising advanced molecular biology, cell biology, and biochemical techniques.
• Develop and validate new experimental protocols and assays.
• Analyse and interpret large datasets, employing statistical methods and bioinformatics tools.
• Author high-impact scientific publications and present research findings at international conferences.
• Mentor and guide junior scientists and postdoctoral researchers, fostering a collaborative and innovative research environment.
• Manage research budgets, procure necessary reagents and equipment, and ensure efficient laboratory operations.
• Contribute to the intellectual property strategy through patent applications and disclosures.
• Collaborate with internal and external partners to advance research objectives.
• Stay abreast of the latest scientific literature, emerging technologies, and trends in biotechnology.

• PhD in Biotechnology, Molecular Biology, Biochemistry, Genetics, or a related life science discipline.
• Minimum of 10 years of post-doctoral research experience, with a significant track record of independent research.
• Extensive publication record in peer-reviewed journals.
• Proven experience in successfully leading research teams and managing research projects.
• Expertise in (specify key techniques/areas, e.g., CRISPR-Cas9, next-generation sequencing, protein engineering, mammalian cell culture).
• Strong understanding of scientific principles and experimental design.
• Excellent analytical, critical thinking, and problem-solving skills.
• Superb communication, presentation, and interpersonal skills.
• Demonstrated ability to secure research funding (grants) is a strong advantage.