Research Associate in Clinical Gait Biomechanics
myrecovery is a digital health startup transforming the way that surgery is delivered. We are building intelligent technology that allows surgeons to treat more patients, safer – whilst improving clinical outcomes, patient experience and reducing the cost of care. We launched in 2016 and we are growing rapidly, being live with leading orthopaedic surgeons and centres across the UK, Europe & US. www.myrecovery.ai
We are building something big together. As a start-up we like to roll our sleeves up, whilst at the same time nurturing your individual goals and ambitions.
Orthopaedics and MSK disease is all about movement - gait analysis is the gold standard for quantifying disease progression and outcomes following surgery. Yet, it is rarely performed outside specialised settings such as clinical research and sports medicine as it requires prohibitively expensive equipment.
myrecovery is pioneering the ability to deliver AI-driven movement (gait) analysis of patients undergoing orthopaedic treatment, using consumer hardware. We call this ‘mobile deep MSK analysis’. We allow video of the patient walking, captured with any handheld smartphone, to be processed using state of the art machine learning algorithms to produce an accurate 2D or 3D animated skeleton. The motion of this skeleton can then be analysed for key indicators (range of motion, symmetry, etc.) and results, which are released immediately to the patient and/or clinical team. Currently in the UK, 5% of knee replacement patients return to surgery because their range of motion has not progressed appropriately. By democratising MSK motion analysis, this technology could measure, track and intervene, potentially avoiding costly readmissions.
We have a Data Science / Computer Vision PhD leading on this project, and have successfully validated our initial work earlier than expected. We are now seeking to appoint a full-time Post-Doctoral Research Assistant in Clinical Gait Biomechanics in Rehabilitation.
The Research Associate will have the following responsibilities:
- Working with other Biomechanists and Computer Scientists to translate computer - science methods and techniques to analyse patient gait characteristics
- Providing biomechanical input and understanding for this process
- Liaising closely with external partners (e.g. hospitals and researchers)
- Carrying out research and publishing relevant high quality peer-reviewed articles
The following skills/experience are required:
- PhD in biomechanics or closely related field
The following skills/experience are desirable:
- Machine learning
- Computer vision
- Data analysis
- Very competitive, depending on experience.
- 25 days paid holiday
- EMI share options scheme
- Pension contributions
- Bright, modern startup office, beside Hampstead Heath, London
- Developer-spec laptop
Please send full CV to email@example.com
PLEASE NOTE THAT WE CAN ONLY PURSUE AN INTERVIEW PROCESS WITH APPLICANTS ALREADY RESIDENT IN THE UK. IF YOU ARE NOT RESIDENT IN THE UK PLEASE DO NOT APPLY, AS WE WILL NOT BE ABLE TO PROCESS YOUR APPLICATION.
NO AGENCIES PLEASE.