Engineering for the human body: medical devices, artificial limbs, brain implants, imaging machines and lab-grown tissue.
Top pay: highest pay, longest training
Neural Engineer: Builds devices that connect to the brain and nerves, like brain implants that let paralyzed people control computers. Typical pay $135k.
Tissue Engineer: Grows living tissue like skin, cartilage and blood vessels in the lab, sometimes using 3D bioprinters. Typical pay $115k.
Medical Imaging Engineer: Designs MRI, CT, ultrasound and X-ray machines and the software that turns their signals into pictures. Typical pay $130k.
Clinical Engineer: Manages and improves all the medical technology inside a hospital, from IV pumps to MRI machines. Typical pay $95k.
Rehabilitation Engineer: Designs wheelchairs, communication devices and custom tools that help people with disabilities live independently. Typical pay $85k.
Biomechanics Engineer: Studies how bodies move and get hurt, to design better running shoes, helmets, car safety and artificial joints. Typical pay $95k.
Regulatory Affairs Specialist: Prepares the paperwork and evidence that prove a medical device is safe enough for the FDA to approve. Typical pay $90k.
Orthotist & Prosthetist: Designs, builds and fits artificial limbs and braces for patients. Typical pay $80k.
Biocompatibility Specialist: Proves that the plastics, metals and coatings in medical devices will not poison, irritate or inflame the human body. Typical pay $105k.
Medical Simulator Design Engineer: Designs the robot patient dummies that breathe, bleed, talk and give birth so doctors and medics can practice safely. Typical pay $95k.
Starter: fastest way in
Orthotic & Prosthetic Technician: Builds and repairs artificial limbs and braces in a lab, following the clinician's designs. Typical pay $48k.
Bioengineering Research Technician: Runs experiments and maintains equipment in bioengineering labs at universities and biotech companies. Typical pay $52k.
Career Universe is an early version. Pay, training and AI-risk figures are estimates to start your own research, not verified facts. The research was written with AI research assistants, checked by validation scripts and spot-checked by hand. Check anything important with schools, employers and official sources. How the numbers work.