We’re looking to grow our team with one more data scientist to help develop decision support software for clinicians who use our platform at the hospital.
Our main product is a software platform that supports the treatment and care for heart patients with implanted devices.
You’re passionate about analysing data. Perhaps you have a background in the natural sciences, computer science, electrical engineering or a relevant field. The important thing is that you are trained in analysing data and presenting the results.
You enjoy attention to detail and have an aptitude for learning new skills and empathy for your colleagues and our users. You understand that real-world data is messy and that quite some time is spent cleaning and debugging data related issues. You have experience with building and evaluating statistical models.
Finally, you are looking for an opportunity to turn your passion for data analysis and machine learning into something that will genuinely help and assist people, and to deliver products that users actually value and enjoy to use.
who are you
We are not short on interesting ideas. So part of your job will be building prototypes, so we can figure out which ideas that should make it into our product – while getting new ideas a long the way. For example, you will probably help drive one or more of the following projects:
Analysis of electrocardiograms: We use a mixture of classical signal processing and machine learning to solve a variety of problems related to the interpretation of electrocardiograms. This includes characterisation, automatic anomaly detection and arrhythmia classification.
Predicting reoccurring cardiac arrhythmias: The clinicians who use our platform are constantly weighting the tradeoff between medical intervention and patients’ personal life. When a patient experiences a cardiac arrhythmia the clinicians must decide whether to intervene or not. We are working on using machine learning to assess the likelihood that a patient will have another cardiac event in the near future, giving the clinicians more information on which to base their decision.
Finding signs of health deterioration: Cardiac clinics are monitoring a lot of patients. Finding early signs of health deterioration would help the clinicians prioritise their work. The goal is to make the treatment of patients with cardiac devices more preventive.
We work in Python. For analysis and modeling, we use the standard tool-kits: numpy, pandas, matplotlib, scikit-learn and Keras. We work in virtual python environments, use Jupyter notebooks to document our analysis and version control with GitHub.
Experience with these modules and tools is desirable, but not directly required. However, a willingness to learn is.
What will you work on
WHO IS REHFELD MEDICAL
Our main product is a software platform that supports the treatment and care for heart patients with implanted pacemakers. The platform delivers decision-support for clinicians at the hospital and engagement in own care for patients. We do this with a web frontend for the hospital clinicians and a smartphone app for patients. Learn more about us in the media section.
You'll be part of an interdisciplinary R&D company, based in Copenhagen, Denmark. We are originally a spin-out from the University of Copenhagen (see www.scaut.dk).
Our culture is based on these values and beliefs
we sketch, build and test prototypes early
we build on user-centered design principles
we base insights on thorough fieldwork and academic research
we apply agile software development methods
we keep an open, free and very flexible work environment
Our work is ambitious. We create solutions that improve the lives of patients and the work practice for health professionals. If you are an entrepreneurial spirit with software engineering skills, we would very much like to work with you. We can't promise you a Tesla, but your salary will fit your skills.
Our work makes a real difference for patients. This is exceedingly difficult in a time where the primary focus for most hospitals is on cutting down resources and figuring out how to manage more patients.
We’re all passionate about our journey and each other. The team is here to make a difference and to enjoy things while we do! Hiring the right engineer is two-folded. One part is finding great programmers and thinkers while the other just as important part is to find colleagues who work well together and who enjoy each others company. We don’t want one without the other.
Flexible work environment. We don’t have specific work hours, and you’re free to work from home (to a degree) as well - as long as you’re around for the meetings that are face to face. Some of us always come in at 9, others come in later or earlier depending on meetings or things they need to do elsewhere. We want to let you work in the way you are most effective and we don’t believe in dictating that it should necessarily be between 9-5.
We’re all involved in many parts of the process. We’re still a small team and we firmly believe that we should all understand why we are building what we are, what the business value is, the needs of patients and clinicians, and so on. We spend a lot of effort making sure we don’t end up with “information silos", where people just hand things off to another team and forget about it — through things like eventstorming, Domain Driven Design, Behavior Driven Design, sitting engineers down with actual patients and clinicians, and on a more general level by the different teams working closely together.
We’re solving hard problems. Doing health tech right is very difficult for a number of reasons. Some of them are related to technology. A huge number of standards and protocols exist within the health tech sphere and more are being developed constantly. Moreover, it is also a byproduct of the fact that many hospitals, and even wards within hospitals, run a large variety of different systems in concert. The same can be said for the manufacturers of medical devices such as pacemakers and ICDs, on their own proprietary standards or older, public standards. Other reasons are more practical; different hospitals and clinics simply have different workflows and this can and does impact the way we have to design software to support those individualities. And some are legal, ethical and moral in nature; GDPR compliance, security, auditing and logging, the Danish laws about how to treat sensitive data, etc.
WHY WORK WITH US
how to apply
Send your application to Jonas Moll, our CEO, on email@example.com
Include links to your online engineering profiles (GitHub, etc)
Describe or link to your work history (resume, LinkedIn, others of your choice)
We will hire as soon as we find the right person, so get in touch with us