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

Apply Now

Biomaterials Scientist

Sava
London
7 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.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.