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Philips

Biomedical Data Scientist

Posted Jan 4, 2022
Project ID: PHILJP00024477
Location
Eindhoven , Noord Brabant , Remote
Duration
11 months
(Feb 1, 2022 - Dec 30, 2022)
Hours/week
40 hrs/week
Payrate range
Unknown
Application Deadline: Feb 1, 2022 12:00 AM

In this position, you will have the opportunity to drive innovations for the Philips patient monitoring portfolio as part of a cross-functional research team. The work is application-oriented aiming at competitive measurement and clinical decision support solutions.
Your challenge will be to develop algorithms for health assessment aimed at in-hospital and remote patient monitoring applications. Core of this position is the task to translate measurements of biomedical signals captured by wearable sensors into clinically valid physiological metrics. The goal will be to create innovation that would allow clinical customers to care for patients remotely and improve workflows by enabling transitional care programs.

You are responsible for

  • Mastering machine learning techniques as well as novel data science and AI tools to produce mature algorithms for predicting vital signs, building early warning scoring systems and digital health biomarkers from wearable sensors.
  • Interacting with clinical experts to identify how a data driven solution could help addressing their needs to improve patient care.
  • Tailoring algorithms to specific clinical applications and workflows. 
  • Understanding the physiological processes related to biomedical signals to create innovative digital health metrics.
  • Being able to create and maintain technical assets to rapidly and continuously validate and improve algorithms.
  • Producing documentation to inform about the performance and capabilities of the developed algorithms to clinical and non-clinical customers.
     

You are a part of
Philips Research is the source of many advanced developments in Healthcare, Lifestyle and Technology. Building on 100 years of experience in industrial research and our world-leading patent position, we're dedicated to bringing meaningful innovations that improve people's lives. We provide technology options for innovations in the area of health and well-being, targeted at both developed and emerging markets. Positioned at the front-end of the innovation process, we work on everything from spotting trends and ideation to proof of concept and first-of-a-kind product development. For more insights you can visit: www.research.philips.com 
The Patient Care & Monitoring department comprises 60 highly skilled professionals. The focus of the department is to provide clinically relevant and business-compatible solutions for high- and low-acuity care settings, comprising vital signs monitoring, data-driven connected systems, all the way up to enabling services.
At the heart of our capabilities lies an interdisciplinary mix of human physiology, electronic/systems design, data scientists and clinical workflow, which are being leveraged to develop integrated propositions from idea to concept and up to transfer in one of our business units. We work, already at a very early stage, with our key businesses and leverage our strong academic and clinical network.
The department is involved in early technology scouting up to first-of-a-kind product development for acute and transitional care settings. The successful candidate will not only contribute, but also drive key assignments and strategic initiatives. He/she will have the opportunity to work in an environment where the future depends strongly on his/her individual capabilities.
The location of this position is the High Tech Campus in Eindhoven, the Netherlands.

To succeed in this role, you should have the following skills and experience

  • Biomedical engineering, signal processing, computer science or comparable degree.
  • Experience with application oriented design of algorithms for modeling physiological processes, processing time series and developing digital health biomarkers.
  • Experience with design of AI/ML algorithms for time series analysis, regression and classification.
  • Understanding of the latest developments in wearable sensing technology including ECG, PPG, and biomechanics sensing technology.
  • Strong programming skills in Python, Matlab, C/C++ 
  • Interested to work and develop in the area of medical devices development and remote patient monitoring as a highly regulated field
  • Good communication, presentations skills and ability to convince people
  • Fluency in English, both written and verbal
     

Required personal characteristics

  • Highly motivated, flexible, social and disciplined team player;
  • Enthusiastic, representative and entrepreneurial personality;
  • Representative and inquisitive personality always acting with integrity;
  • Result-driven, accurate, agile, and quality minded;
  • Research and innovation mindset, creative in finding solutions;
  • Ambition to create value for customers;

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