Data Analyst: Contribute to the Validation of Breakthrough Medical Device

Expires
Education level
Started bachelor/master (1.-3. yr)
Started master (4.-5. yr)
Field of study
Computer Science and Information Technology
Chemical Engineering and Biotechnology
Mathematics, Physics, and Nanotechnology
Medicine and Health Sciences
Type
Part-time work
Summer work
Internship / Trainee
Work place
Professor Brochs Gate 2 (Teknobyen)
Responsibilities
Analytics, Computing and Reporting
Research and Development (R&D)
Technology- and Product development
County
Trondheim
Info on how to apply
Send an email to post@modesensors.com with your job application, CV, grades, and any other relevant credentials. Focus on why you want to work with us and highlight your relevant experience and education for the position.
E-mail for application
post@modesensors.com

Student Job Opportunity: Contribute to the Validation of Breakthrough Medical Device

Are you a student eager to gain hands-on experience in validating a breakthrough medical device with the potential to make a meaningful impact on patients worldwide? We are looking for a motivated student to assist us with clinical data analysis for the validation of our product, Re:Balans. This role offers hands-on experience in clinical data analysis, signal processing, and statistical modeling - perfect for students interested in the intersection of technology, healthcare, and data science.

Your Role:

  • Analyze and interpret clinical data to support the validation of our medical device, Re:Balans.
  • Process and clean large datasets to ensure accuracy and reliability.
  • Develop signal processing techniques, statistical models and visualizations to extract key insights from clinical trials.
  • Collaborate with researchers and engineers to refine data collection methods and analysis strategies.
  • Document findings and contribute to reports for regulatory submissions and publications.
  • Participate in weekly meetings to discuss progress and align with the team’s objectives.

What do you need to know?

  • Basic knowledge of clinical data analysis and statistical methods.
  • Proficiency in programming, preferably in Python, R, or a similar language, for data analysis and modeling.
  • Strong analytical skills, with attention to detail and a focus on data integrity.

Why Join?

  • Start immediately in a part-time role with flexible hours to accommodate your studies.
  • Full-time summer job with hands-on experience in clinical data science.
  • Opportunity for continuation beyond summer, with potential for a full-time role after graduation.
  • Gain practical experience in clinical data analysis, statistical modeling, and validation.
  • Contribute to the development and validation of an innovative medical device.
  • Work closely with a multidisciplinary team in a dynamic research environment.

About Mode Sensors AS

Mode Sensors AS is a Norwegian health technology company that has developed the world’s first wearable device, Re:Balans®, for real-time hydration monitoring.. Our mission is to transform the way hydration is monitored and managed in healthcare. To achieve this, we are seeking passionate, skilled engineers and researchers eager to drive innovation and make a real impact. Join us and contribute to transforming the way hydration is monitored and managed!

Education
Applied Computer Science
Applied Clinical Research
Audiology (Audiologist)
Automation and Intelligent Systems
Advanced Clinical Nursing
Bioengineer
Biotechnology
Sustainable Chemical and Biochemical Engineering
Cyber Security and Data Communication
Computer Engineering
Computer Science
Digital Business Development
Digital Infrastructure and Cyber Security
Digital Transformation
Electrification and Digitalisation
Electronics Systems Design and Innovation
Physics
Physics and Mathematics
Chemical Engineering and Biotechnology
Industrial Cybernetics
Information Technology
Information Security
Informatics
Engineering and ICT
Embedded Computing Systems
Chemistry
Clinical Health Science
Cybernetics and Robotics
Marine and Maritime Intelligent Robotics
Mathematical Sciences
Medicine (Programme of Professional Study)
Medical and Biological Studies
Molecular Medicine
Nanotechnology
Programming
Security and Cloud Computing
Simulation and Visualization
Areas of expertise
Computer Science and Information Technology
Cybernetics and robotics
Mathematics and statistics
Materials science and nanotechnology