Research Assistant in Digital Health Technologies — ETH Zürich
- Location
- Zurich
- Contract
- fixed-term
- Posted
- 10 days ago
Role overview
Research Assistant in Digital Health Technologies 80%-100%, Zurich, fixed-term print Drucken The Biomedical Data Science (BMDS) Lab investigates data-driven solutions for healthcare applications with a focus on neurological conditions such as spinal cord injury (SCI), lower back pain, neuro-degenerative disorders and neurological tumors.
At the core of our research is the collaboration across disciplines spanning expertise in medicine, biology, computer and data science.
We are seeking a research assistant to join this growing team and contribute to current research studies.
The anticipated start date is August 1, 2026.
Project background Low back pain (LBP) is amongst the leading causes of disability worldwide and its effective treatment is challenging.
Lumbar steroid injections are a common therapy for LBP, irrespective of the underlying cause.
However, its effectiveness shows high variability across patients.
There is a need for a more personalized approach to the treatment of LBP with injection therapy.
Personalized approaches require a comprehensive understanding of the patient’s health status beyond static information from clinical consultation.
In recent years, mobile health and wearable technologies have presented a framework to assess objective and subjective measures continuously in a patient’s natural environment.
- Administrative Coordination: Schedule study appointments and assist with coordinating team activities and responsibilities
- Research Collaboration: Work closely with the PhD researcher to support all aspects of the project Profile
Main responsibilities
- Administrative Coordination: Schedule study appointments and assist with coordinating team activities and responsibilities
- Research Collaboration: Work closely with the PhD researcher to support all aspects of the project Profile
- You hold a Bachelor’s or Master’s degree in Neuroscience, Psychology, Health Sciences, or a related field
- You have prior experience working in research settings and are familiar with standard study procedures
- You are highly organized, dependable, and able to manage multiple tasks efficiently
- You are motivated to contribute to a collaborative and interdisciplinary research environment and are committed to scientific excellence
- You are fluent in German (written and spoken) and confident communicating in English Workplace Workplace We offer We offer a 1-year project-based contract at the BMDS Lab ( 80%
- 100% workload ).
- A stimulating, collaborative environment in a multidisciplinary team at ETH Zurich and Schulthess Klinik, combining academic and clinical perspectives
- Support ongoing studies on low back pain with direct relevance to patient care and clinical practice
Application process
- Research Assistant in Digital Health Technologies 80%-100%, Zurich, fixed-term print Drucken The Biomedical Data Science (BMDS) Lab investigates data-driven solutions for healthcare applications with a focus on neurological conditions such as spinal cord injury (SCI), lower back pain, neuro-degenerative disorders and neurological tumors.
- At the core of our research is the collaboration across disciplines spanning expertise in medicine, biology, computer and data science.
- We are seeking a research assistant to join this growing team and contribute to current research studies.
- The anticipated start date is August 1, 2026.
- Project background Low back pain (LBP) is amongst the leading causes of disability worldwide and its effective treatment is challenging.
- Lumbar steroid injections are a common therapy for LBP, irrespective of the underlying cause.
- However, its effectiveness shows high variability across patients.
- There is a need for a more personalized approach to the treatment of LBP with injection therapy.
Additional details
- We will then conduct an observational study and collect data to predict injection treatment outcome using machine learning methods with the goal to include these models as a personalized prediction tool in the smartphone application.
- Learn from experienced researchers and clinicians while contributing to an active research project chevron_right Working, teaching and research at ETH Zurich We value diversity and sustainability In line with our values , ETH Zurich encourages an inclusive culture.
Notes and original content
- Job description
- We promote equal
