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How to Write a Medical Technology Job Ad That Attracts the Right People
Medical technology sits at the intersection of healthcare, engineering, regulation and innovation. From diagnostics and imaging to digital health, robotics, wearables and regulated medical devices, medical technology roles require a rare combination of technical skill, regulatory awareness and patient-centred thinking. Yet many employers struggle to attract the right candidates. Medical technology job adverts often generate either too few applications or the wrong type of applicants — candidates who are technically strong but unfamiliar with regulated environments, or healthcare professionals without the required engineering or product experience. In most cases, the problem is not a shortage of talent — it is the clarity and quality of the job advert. Medical technology professionals are detail-oriented, risk-aware and selective. A vague or generic job ad signals poor regulatory understanding and weak product maturity. A clear, well-written one signals credibility, safety and long-term intent. This guide explains how to write a medical technology job ad that attracts the right people, improves applicant quality and positions your organisation as a serious medtech employer.
Maths for Medical Technology Jobs: The Only Topics You Actually Need (& How to Learn Them)
If you are applying for medical technology jobs in the UK it can feel like you need “serious maths” to get hired. In reality most MedTech roles do not require advanced pure maths. What they do require is confidence with a small set of practical topics that come up repeatedly across: medical device R&D & product development verification, validation & test engineering clinical evidence, usability & human factors support quality, regulatory, risk management & post market work software as a medical device (SaMD) & connected devices imaging, sensing, signal processing & on device algorithms This guide focuses on the maths you will actually use in common UK roles like Medical Device Engineer, Verification & Validation Engineer, Test Engineer, Quality Engineer, Regulatory Associate with technical scope, Software Engineer in MedTech, Systems Engineer, Clinical Data Analyst, Biostatistics adjacent roles, Biomedical Engineer, Imaging Engineer. You will learn: measurement uncertainty & stats for testing probability & risk thinking for hazard analysis basic modelling & curve fitting (the workhorse skill) signal basics for sensors & wearables linear algebra essentials for imaging & ML enabled devices optimisation thinking for thresholds, trade offs & performance You will also get a 6 week plan, portfolio projects & a resources section.
Neurodiversity in Medical Technology Careers: Turning Different Thinking into a Superpower
Medical technology sits at the intersection of health, engineering & innovation. From imaging & diagnostics to digital health apps, wearables & surgical robotics, medtech is about solving complex real-world problems that directly affect patients’ lives. To do that well, the sector needs people who think differently. If you live with ADHD, autism or dyslexia, you may have been told your brain is “too distracted”, “too literal” or “too disorganised” for a regulated, safety-critical industry. In reality, many traits that made school or previous jobs difficult can be huge strengths in medical technology – from pattern-spotting in clinical data to meticulous attention to detail in device testing. This guide is for neurodivergent job seekers exploring medical technology careers in the UK. We’ll cover: What neurodiversity means in a medtech context How ADHD, autism & dyslexia strengths map to common medtech roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in medical technology – & how to turn “different thinking” into a genuine superpower.