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

Apply Now

Biomaterials Scientist

Sava
London
6 months ago
Applications closed

Join to apply for theBiomaterials Scientistrole atSava

Company Information
All the health information we need is within us. Just below the skin. SAVA is redefining the way people interact with their health by developing the most advanced biosensing technology science has to offer, capable of accessing bodily information in a painless, real-time and affordable way.

Description
We are looking for a Senior/Scientist to join the Biomaterials Team, within the Biosensing and In Vivo Performance Department. The selection and optimisation of the materials used in our sensors is of utmost importance for device performance and longevityin vivo. The ideal candidate will bring experience in materials characterisation, and an in-depth understanding of how various properties will impact the material-tissue interface, and so the function of the biosensor as a whole.

Responsibilities

  • Work within the Biomaterials Team to develop and characterise the materials being utilised in all aspects of a minimally invasive biosensor platform.
  • Collaborate with the Chemistry, Process, and Manufacturing teams to implement material changes for optimisation of sensor performance, longevity and safety.
  • Develop new protocols to further the understanding of various aspects of sensor composition and performance.
  • Utilise analytical techniques to understand how material characteristics impact sensor manufacturing and device function.
  • Coordinate testing to determine the biocompatibility of novel candidate materials.
  • Generate, analyse and report data to the team and wider company, verbally and in writing.
  • Maintain detailed, up to date records of experiments and data analysis.
  • Research and source new equipment to support critical research areas.
  • Liaise with internal and external stakeholders to coordinate projects, managing deadlines and requirements in parallel to advance device development.

Past Experience

Essential:Masters degree plus > 2 years lab experience post-graduation in a relevant discipline (e.g., materials science, bioengineering, tissue engineering), working with materials development and characterisation.

Preferred:PhD in a relevant discipline (e.g., materials science, bioengineering, tissue engineering), working with materials development and characterisation. Industry experience post-PhD would be beneficial.

Requirements

  • Multidisciplinary background is advantageous, given the requirements of this role. The candidate will be expected to work across departments, interacting with scientists, engineers, Operations, external suppliers and regulatory bodies.
  • Comfortable being hands on in the lab, and can demonstrate a degree of independence and ownership of work.
  • Adaptability - this role requires the ability to learn new skills and techniques quickly, and to deal with the fast pace of a startup environment.
  • Materials characterisation and/or biomaterials experience, which may include: mechanical characterisation, rheology, material hydration studies, hydrogel processing and characterisation, analyte diffusivity, cell or tissue culture, cell/material interfacing, bioactive materials, enzyme stability and activity, protein conjugation and characterisation, colorimetric or fluorescence-based assays, microscopy, SEM/EDX.
  • Experimental design - organisational skills and attention to detail.
  • Presentation and communication of data to both technical and non-technical audiences.
  • Excellent interpersonal and communication skills.

Preferred

  • Experience with biological systems preferred (but not essential, as long as proficiency with the different techniques required can be demonstrated).
  • Experience with and knowledge of biosensors or medical devices with skin/surface interaction.
  • Experience with ISO 10993 or other appropriate regulatory standards and biocompatibility testing methods.
  • Experience with data analysis and visualisation software (e.g., python, R, MATLAB).

Sava Technologies Ltd is an equal opportunity employer. We consider candidates regardless of age, ancestry, colour, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, or military or veteran status.

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Other

Industries

IT Services and IT Consulting

#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.

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

Machine learning (ML) has become one of the most in-demand career paths in technology. From predicting customer behaviour in retail to detecting fraud in banking and enabling medical breakthroughs in healthcare, ML is transforming industries across the UK and beyond. But here’s the truth: employers don’t just want candidates who have read about machine learning in textbooks. They want evidence that you can actually build, train, and deploy models. That means practising with real tools, working with real datasets, and solving real problems. The good news is that you don’t need to pay for expensive software or courses to get started. A wide range of free, open-source tools and platforms allow you to learn machine learning skills hands-on. Whether you’re a beginner or preparing for advanced roles, you can practise everything from simple linear regression to deploying deep learning models — at no cost. In this guide, we’ll explore the best free tools and platforms to practise machine learning skills in 2025, and how to use them effectively to build a portfolio that UK employers will notice.

Top 10 Skills in Machine Learning According to LinkedIn & Indeed Job Postings

Machine learning (ML) is at the forefront of innovation, powering systems in finance, healthcare, retail, logistics, and beyond in the UK. As organisations leverage ML for predictive analytics, automation, and intelligent systems, demand for skilled practitioners continues to grow. So, which skills are most in demand? Drawing on insights from LinkedIn and Indeed, this article outlines the Top 10 machine learning skills UK employers are looking for in 2025. You'll learn how to demonstrate these capabilities through your CV, interviews, and real-world projects.

The Future of Machine Learning Jobs: Careers That Don’t Exist Yet

Machine learning (ML) has become one of the most powerful forces reshaping the modern world. From voice assistants and recommendation engines to fraud detection and medical imaging, it underpins countless applications. ML is no longer confined to research labs—it powers business models, public services, and consumer technologies across the globe. In the UK, demand for machine learning professionals has risen dramatically. Organisations in finance, retail, healthcare, and defence are embedding ML into their operations. Start-ups in Cambridge, London, and Edinburgh are pioneering innovations, while government-backed initiatives aim to position the UK as a global AI leader. Salaries for ML engineers and researchers are among the highest in the tech sector. Yet despite its current importance, machine learning is only at the beginning of its journey. Advances in generative AI, quantum computing, robotics, and ethical governance will reshape the profession. Many of the most vital machine learning jobs of the next two decades don’t exist today. This article explores why new careers will emerge, the roles likely to appear, how today’s roles will evolve, why the UK is well positioned, and how professionals can prepare now.