Beschreibung
For our Pharma Client in Basel, we are looking for a
Digital Biomarker Biomedical Engineer
Location: Basel-Stadt
Contract type: temporary contract
Start/Ende: 03.08.2020 - 03.08.2021
Pensum:100%
Background
Our client's Pharma Research and Early Development Informatics team is the bridge between digital technology and science. They help drive medical innovation and are integral to the realisation of truly Personalised Healthcare and the development of innovative treatments for their patients.
Digital tools, such as smartphones or wearables, can now continually measure and collect vital health information - or Digital Biomarkers . Digital Biomarkers are changing how future medicines will be developed and could lead to more personalized use of new medications that will transform the lives of patients. Advances in wearable devices, such as phones, watches, textiles or delivery devices, which track a patient's vital signs and monitor for symptoms, all have the potential to vastly accelerate clinical development.
Tasks & Responsibilities
Work on large amounts of sensor data from smartphones, wearables and other devices (eg IMU, touch screen, Bluetooth, PPG) collected during the daily life of participants in clinical studies
Develop robust algorithms to infer a variety of disease symptoms in neurological diseases
Establish reliability, accuracy and validity of your novel algorithms
Use the data produced by your algorithms to help deepen the understanding of how impairments induced by neurological diseases impact the daily life of a patient
Work with our software developers to turn your algorithms into fully documented and validated high-quality code
Drive the understanding of the data analysis results by clinical development programs through the development of compelling narratives and presentation
Contribute to manuscripts for peer-reviewed journal articles to establish the biological, clinical and patient relevance of data collected in novel digital biomarker approaches
Contribute to the improvement and automation of the data processing and analysis pipeline across programs
Must Haves
Very good university degree in biomedical engineering or alternatively mathematics, statistics, natural science or informatics
5+ year of experience with signal processing (eg movement data such as accelerometer, gyroscope, PPG data for heart rate, ECG/EEG ) on data collected (preferably in neurological diseases)
Strong experience with analysing and visualizing large data sets
Track record of writing compelling publications in high impact, peer reviewed journals
Profound knowledge in Python, R or similar software packages/languages