Research Assistant in Digital Health Technologies — ETH Zürich

NewCHF 73'500 - 111'500

ETH Zürich · Zurich (ZH)

Categoria: Ricerca Contratto: fixed-term Salario: CHF 73'500 - 111'500

SalaryCHF 73'500 - 111'500

Research Assistant in Digital Health Technologies

80%-100%, Zurich, fixed-term print Drucken

Research Assistant in Digital Health Technologies
80%-100%, Zurich, fixed-term print Drucken
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

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 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

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.

80%-100%, Zurich, fixed-term
The anticipated start date is August 1, 2026. Project background
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.
Research Collaboration: Work closely with the PhD researcher to support all aspects of the project
You are fluent in German (written and spoken) and confident communicating in English
Learn from experienced researchers and clinicians while contributing to an active research project
Working, teaching and research at ETH Zurich We value diversity and sustainability
In line with our values , ETH Zurich encourages an inclusive culture.

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