Data Analyst: Contribute to the Validation of Breakthrough Medical Device

Søknadsfrist
Utdanningsnivå
Påbegynt bachelor/master (1.-3. år)
Påbegynt master (4.-5. år)
Utdanningsområde
Data og informasjonsteknologi
Kjemi og bioteknologi
Matte, fysikk og nanoteknologi
Medisin og helsefag
Type oppdrag
Deltidsjobb
Sommerjobb
Internship / Trainee
Arbeidssted
Professor Brochs Gate 2 (Teknobyen)
Arbeidsoppgaver
Analyse, databehandling, rapportering
Forskning og utvikling (FOU)
Teknologi- og produktutvikling
Arbeidssted (fylke / by)
Trondheim
Informasjon om hvordan man søker
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-post for søknad
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!

Utdanning
Anvendt Datateknologi
Anvendt Klinisk Forskning
Audiologi (Audiograf)
Automatisering og Intelligente Systemer
Avansert klinisk allmennsykepleie
Bioingeniør
Bioteknologi
Bærekraftig Kjemi og Biokjemi
Cybersikkerhet og datakommunikasjon
Dataingeniør
Datateknologi
Digital Forretningsutvikling
Digital Infrastruktur og Cybersikkerhet
Digital Transformasjon
Elektrifisering og Digitalisering
Elektronisk Systemdesign og Innovasjon
Fysikk
Fysikk og Matematikk
Industriell Kjemi- og Bioteknologi
Industriell Kybernetikk
Informasjonsbehandling
Informasjonssikkerhet
Informatikk
Ingeniørvitenskap og IKT
Innebygde Datasystem
Kjemi
Klinisk Helsevitenskap
Kybernetikk og Robotikk
Marin Robotikk og Kunstig Intelligens
Matematiske fag
Medisin (profesjon)
Medisinske og Biologiske fag
Molekylær Medisin
Nanoteknologi
Programmering
Sikkerhet og Skydatasystemer
Simulering og Visualisering
Kompetanseområder
Data og informasjonsteknologi
Kybernetikk og robotikk
Matematikk og statistikk
Materialer og nanoteknologi