Global Kinetics Corporation is a Melbourne-based company that is building remote patient monitoring systems for Parkinson’s disease patient monitoring. They’re currently recruiting a number of positions to support their product development efforts:
Great to see an Australian company recruiting in m-health! I note they are private equity funded, have strong links to the University of Melbourne‘s Florey Institute (clinician/academic Prof Mal Horne is Chief Scientific Officer) and a management team with medical devices experience. Sounds like a good combination.
Using the skills descriptions from the technical roles provides a hint as to their platform:
- Data acquisition
- Wearables: The wearable device appears to be their Parkinson’s KinetiGraph™ (PKG™) product. It will be interesting to see if they continue to use this device or can make their algorithms work with other, more consumer oriented devices (e.g. Apple Watch). Wonder if the references to TCL & C++ skills is because that’s what they use to program this device.
- Web services: I expect they’ll expose web services APIs that will allow the device to push data into their backend systems. 3rd party data providers (e.g. FitBit) might also provide. I’d strongly recommend using FHIR & REST where possible.
- Health IT integration hell: HL7 is also mentioned, because health. Probably 2.x, probably just for blood test results from local pathology labs.
- Data storage & integration
- All that data will need some modelling. The skills mix indicates both SQL and NoSQL.
- Health IT integration hell: HL7 is also mentioned, because health. Probably 2.x for blood test results from local pathology labs, although I understand 3.x is also necessary internationally. Programming by exception 😐
- While there’s value in “simply” making the collected data available to clinicians/patients with minimal integration (e.g. just a timeline), the data will need to be mined to provide real insight into treatment and attempt to predict future outcomes. Doing that requires a variety of different techniques they describe as data science. This is where the most valuable IP will be generated and is probably the most fun job.
- Clinician/patient access to integrated/modeled data via web portals, hence the need for tools used to make pretty web applications such as d3.js. HTML5/Canvas, WebGL, OpenGL/Direct3D, Tableau, Vislt, ParaView, Protoviz, Highcharts, Processing, Maya, 3d Studio.
- Surprised to not see skills for mobile app development (iOS).