We are always open for talented interns to join our team in Copenhagen. So please drop us a note where you (1) briefly explain why you want to join our team and (2) include your resume. Send it to email@example.com
You’re also more than to contact us even if you don't see yourself fit the categories below.
Help us develop decision-support software for cardiac clinicians. You get to work on a unique dataset that comprises multiple data sources such as cardiac devices, medical records and wearable technology.
Analysis of electrocardiograms, including automatic anomaly detection and arrhythmia classification
Risk assessment, including predicting the occurrence of cardiac arrhythmias
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.
Completed BSc education or equivalent
Minimum 3 month stay (preferably more)
We unfortunately can’t offer compensation or paid housing
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.
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?
Develop health economic insights and analytics reports
Support business decision with analytical insights
Interaction design / UX
Gather insights from field work and communication with patients and clinicians. Participate in designing features to support the uncovered needs.
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
Data analysis concerns identifying, collecting and preparing clinical- and patient-generated data from the mobile app, for later analysis through e.g. machine learning.
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