Digital Biomarkers Researcher: Unleashing the Power of Wearable Data
vor 4 Stunden
The CSS Health Lab at the University of St. Gallen is a leading research institution in the field of digital health, focusing on developing innovative biomarkers for disease management.
Salary and BenefitsWe offer an attractive compensation package based on the guidelines of HSG, with an estimated salary range of CHF 55,000 - CHF 65,000 per year.
About the JobAs a Research Assistant, you will work under the supervision of Mia Jovanova, PhD, Scientific Director of the CSS Health Lab, to develop novel digital monitoring biomarkers for diabetes management using wearable data and smartphones.
You will take direct project responsibility and lead machine learning pipelines for feature engineering and algorithm development and validation using time series data.
Your tasks will include pre-processing longitudinal, time series data from wearables and statistically modeling time series data using machine learning methods.
You will work in a highly interdisciplinary team at the intersection of computer science, behavioral medicine, clinical psychology, and business innovation.
Required Skills and Qualifications- Strong expertise in pre-processing and modeling time series data from wearables using machine learning.
- Proficiency in Python, R, or similar software languages and ability to independently run pre-processing and machine learning pipelines for wearable data.
- A master's degree in computer science or engineering, with a GPA of at least 5.0 (or equivalent), and strong experience in wearables and biosensor technology.
- Strong interest in metabolic health, healthy longevity, health economics, and technology-based innovation.
- Interest in applied research projects, start-ups, or venture capital, as well as prior work experience in the digital health industry is advantageous.
- Self-confident appearance and high conceptual and communication skills, especially regarding presenting research results to a broad and interdisciplinary audience.
- Proficient knowledge of English and German (written/oral).
Employment conditions are attractive and based on the guidelines of HSG. The average duration for obtaining a Ph.D. is 3.5-4 years.
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