internship

We are always looking for interns to join our team in Copenhagen. So please drop us a note, (1) explaining why you want to join our team and (2) your resume. Send it to jonas@rehfeldmedical.com

Contact us even if you don't see yourself fit the categories below.


Help us create a strong brand and maintain our online story. You will be responsible for developing our SoMe strategy from scratch, as we don’t have any right now.

Main activities

  • Develop SoMe strategy

  • Decide on strategic and digital SoMe activities

  • Manage, create and publish SoMe content

  • Teach the team how to do SoMe

  • Manage SEO activities

Social media / communication


Develop health economics market insights to support our business decisions. What will a clinic actually save in costs, when we automate certain parts of the workflow?

Main activities

  • Develop health economic insights and analytics reports

  • Support business decision with analytical insights

Market analytics


Data Science

 

 

Help develop decision support software for cardiac clinicians. We work on data from a wide range of sources such as cardiac devices, activity trackers, and medical records.

Typical projects

  • Analysis of electrocardiograms, including automatic anomaly detection and arrhythmia classification

  • Risk assessment, including predicting the reoccurrence of cardiac arrhythmia

  • General patient stratification and mapping of health deterioration

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 for the analysis and version control with GitHub.

Experience with these modules and tools is desirable but not required. However, a willingness to learn is.


Interaction design / UX

 

Gather insights from field work and communication with patients and clinicians. Participate in designing features to support the uncovered needs.

Main activities

  • Interaction design (sketching, mock-up and prototyping)

  • Communication with patients by phone, in person and by email

  • Field work, interviews and usability testing

  • Video production and editing


Health informatics

Data analysis concerns identifying, collecting and preparing clinical- and patient-generated data from the mobile app, for later analysis through e.g. machine learning.

Main activities

  • Data collection from clinical data bases

  • Collaboration with design researchers

  • Conducting phone interviews and creating questionnaires for with patients and clinicians

  • Ad hoc assignments, e.g. preparing and participating in workshops


Software Engineering

 

Work on our our DevOps and app and web frontends.

Our technology stack

  • Ionic and Apache Cordova

  • AngularJS and KnockoutJS

  • F#, C#, .Net, TypeScript

  • MongoDB, RabbitMQ

  • Bootstrap and SASS

  • Git (Github), CI using buildkite, clubhouse.io, Slack