Cardiorespiratory disease is the leading cause of death worldwide. For most of the people living with it, monitoring remains infrequent, inconvenient, and tethered to a hospital. Our platform, lungDx, changes those conditions. Using a smartphone alone, with no additional hardware and no specialist environment, the technology captures optical, biomechanical, and physiological signals that until recently required clinical instrumentation.
We are past the point of proving that it works. The validation data is published, and we hold Class IIa authorisation from the MHRA as a manufacturer of Software as a Medical Device. What we are building now is the infrastructure to carry it to hundreds of thousands of people across several countries and clinical programmes.
That is what makes the timing of this role unusual. You would arrive at the point where a proven technology becomes an operating system for care at scale, and the decisions taken this year will still be visible in the product long after you have left.
electronRx exists because people living with these conditions deserve better information about their own bodies, more often, and without having to travel to a hospital to obtain it. That conviction decides what we build and it decides what we refuse to build. We hire on the same basis. Technical ability matters and we will test for it, but we care rather more about whether you stay curious once a problem stops being tidy.
The role
We are looking for a technically capable graduate or placement student who is comfortable working across data science and web development: from the pipeline that processes raw physiological signals through to the interface where clinicians and participants meet the results.
This is a generalist role by design. You will move between real-world datasets, clinical data workflows, internal tooling, and applications used by investigators and participants. The work shifts according to where the team needs momentum, which is a feature of the role rather than a limitation of it. If a changing problem energises you, you will do well here.
You will not be maintaining a legacy system or running regression scripts in a corner. You will build software that underpins live clinical investigations, contribute to deployments in other countries, and work directly alongside data scientists, engineers, and clinicians. The team is small enough that your work is visible and its consequences are immediate.
The role is advertised as a 12-month placement or graduate internship at £25,000 per annum. For a graduate who is clearly the right fit, we would equally consider a permanent full-time appointment paying up to £32,500 depending on experience. Tell us in your covering note which you are looking for, and say so if you are open to either.
What you will work on
Preparing, exploring, and analysing physiological and clinical datasets from live investigations
Improving the systems through which participant data is captured, processed, and stored
Building internal tools, dashboards, and web applications used by clinicians and by the commercial team
Prototyping quickly across software and data workflows, so that ideas get tested rather than debated
Supporting the development of statistical, signal processing, and machine learning methods for healthcare
Working directly with data scientists, engineers, and clinicians on practical problems
Explaining what you have found to people who do not share your discipline
Holding several concurrent projects with different requirements and timescales
What we are looking for
You will be studying towards, or will already hold, a degree in Computer Science, Mathematics, Physics, Engineering, or a similarly analytical discipline. Strong Python is the baseline. Beyond that we would far rather see real depth in two or three areas than a passing acquaintance with everything on the list. If your foundations are solid and you want to go further, we will back you to develop the rest.
Core
Strong programming ability in Python
Analytical and problem-solving ability applied to real data rather than coursework datasets
Working knowledge of databases and data-driven applications
Fluency with AI development tools as part of how you already work, not as a novelty
The ability to explain your reasoning clearly to people outside your discipline
Signal processing or time-series analysis
Cloud platforms: GCP, AWS, or Firebase
SQL or NoSQL databases
Machine learning model development or evaluation
Node.js or C++
Any exposure to healthcare, medical technology, or regulated software environments
Alongside all of that: intellectual curiosity, genuine care about where the work lands, and the kind of initiative that does not wait to be told what happens next.
What we offer
A 12-month placement at electronRx is substantive work. You will be given ownership of real deliverables rather than peripheral tasks designed to occupy a placement student. You will sit in on clinical and commercial conversations that most people never get near at this stage of a career. You will leave understanding what it takes to build regulated medical technology from first principles.
Placement stipend of £25,000 per annum, or a full-time salary of up to £32,500 for a permanent appointment
A personal training budget for skills that serve both you and the work
A named workplace supervisor, plus direct mentorship from engineers, data scientists, and clinicians working at the frontier of digital health
Full support for your university's placement reporting, supervision, and assessment requirements
A central Cambridge office at Barclays Eagle Labs, 28 Chesterton Road, CB4 3AZ, with free secure parking and cycle storage
A genuine route into a full-time role at the end of the placement, or an experience that carries wherever you go next
About electronRx
electronRx is a deep tech medical technology company based in Cambridge. We hold MHRA Class IIa authorisation as a manufacturer of Software as a Medical Device and we are certified to ISO 13485. Our technology is in active clinical investigation at Cambridge University Hospitals and deployed in Japan. We were recognised as a Deep Tech Pioneer by HelloTomorrow in 2023 and again in 2024, and our science has been presented at the European Respiratory Society and American Thoracic Society international congresses.
We are a small team of scientists, engineers, and clinical professionals. Everyone here works on something that matters and understands why it matters. We have been building this for seven years and we remain early enough that whoever joins now will leave a clear mark.
Diversity and inclusion
We are building technology intended for everybody, and we think the team that builds it should reflect that ambition. We welcome applications from every background. If you are uncertain whether you meet every criterion above, apply anyway. The candidates we remember are rarely the ones who ticked every box.
Tell us what draws you to this work specifically, and point us to something you have built, written, or contributed to that you are proud of. If there is a problem you kept working on after you no longer had to, we would like to hear about that one most of all.
Join the Team
The eRx team is a place where your work has the potential to impact quality of life across the globe; where you’re free to learn, upskill yourself and contribute your best in a supportive, stimulating environment.
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