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.