Research Scientist

Hlx Life Sciences
London
1 year ago
Applications closed

Related Jobs

View all jobs

Post-Doctoral Research Associate

Head of Research Data Services, Global Data Sciences, Oncology Therapy Area, Research and Devel[...]

Machine Learning Engineer/Researcher

Machine Learning Engineer/Researcher

Machine Learning Engineer II, Intelligent Talent Acquisition Lead Generation & Detection Services

Junior Machine Learning Engineer

As aResearch Scientist, you will play a key role in designing, implementing, and validating new computational and machine learning frameworks. You will collaborate with their talented team of scientists and engineers to develop prototype and clinical software.


In this role, you will:

  • Shape real-time surgical guidance technologyby developing cutting-edge computational and machine learning methods for hyperspectral imaging data.
  • Design and implement algorithmsfor hyperspectral image data processing, including low-level image reconstruction, deep learning-based tissue property estimation, semantic segmentation, and stereo vision reconstruction for multi-view surgical guidance.
  • Contribute to innovationby supporting patent filings and research publications.
  • Work closely with software development and regulatory teamsto ensure seamless integration from R&D to deployment.


A Bit About You

  • MSc or PhD in Machine Learning, Medical Image Computing, Computer Vision, or a related technical discipline.
  • Strong knowledge of machine learning and computer vision algorithms.
  • Experience with scientific software packages (e.g., PyTorch, OpenCV, Pandas, SciPy, NumPy, SciKit-learn).
  • Familiarity with standard software engineering practices (version control, software testing).
  • Excellent oral and written communication skills.
  • Analytical mindset, detail-oriented, creative, and collaborative.
  • A commitment to fostering an inclusive and diverse team culture.
  • (Bonus: Unique skills, languages, or life experiences that enrich the team dynamic.)


What they Offer

  • Impactful Work: Shape a MedTech start-up developing next-generation surgical guidance technology.
  • Expert Leadership: Our board includes serial entrepreneurs in MedTech and surgical robotics, and you'll work alongside thought leaders in healthcare engineering.
  • Academic & Clinical Partnerships: As a spin-out from a top academic institution, we have access to hospitals, simulation facilities, labs, and computational resources.
  • Real-World Application: Contribute directly to ongoing clinical studies, including neurosurgery and laparoscopic surgery trials, impacting real patients.
  • Multidisciplinary Team: Collaborate with experts in surgery, AI, biomedical engineering, and regulatory affairs.
  • Innovative Environment: A workplace that fosters curiosity, creativity, and autonomy, bridging industry, academia, and clinical practice.
  • Flexible Working: Enjoy flexible hours and remote working options.
  • Career Growth: We are committed to employee development and equal opportunities for advancement.

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.

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.

Neurodiversity in AI Careers: Turning Different Thinking into a Superpower

The AI industry moves quickly, breaks rules & rewards people who see the world differently. That makes it a natural home for many neurodivergent people – including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a career in artificial intelligence, you might have been told your brain is “too much”, “too scattered” or “too different” for a technical field. In reality, many of the strengths that come with ADHD, autism & dyslexia map beautifully onto AI work – from spotting patterns in data to creative problem-solving & deep focus. This guide is written for AI job seekers in the UK. We’ll explore: What neurodiversity means in an AI context How ADHD, autism & dyslexia strengths match specific AI roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence during applications & interviews By the end, you’ll have a clearer picture of where you might thrive in AI – & how to set yourself up for success.

AI Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.