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Internship for physical activity monitoring in obesity(m/w/x)
Evaluating clinical-digital mapping for physical activity monitoring in obesity. Master's program enrollment in a relevant field, strong Python skills, and analytical mindset required. Longitudinal modeling and sensitivity analysis experience a plus.
Requirements
- Master’s program enrollment in Biomedical Engineering, Health Data Science, Movement Science, Biostatistics, or similar field
- Strong Python skills for time-series data handling
- Analytical mindset for understanding biological drivers
- Solid statistical foundation in longitudinal modeling
- Solid statistical foundation in sensitivity analysis
- Experience with time series (plus)
- Communication of digital signal processing concepts to clinical stakeholders
- Knowledge of obesity and cardiovascular and metabolic diseases (plus)
- Professional fluency in English, written and verbal
Tasks
- Evaluate clinical-digital mapping
- Determine impact of signal processing parameters
- Conduct longitudinal sensitivity analyses
- Identify responsive digital markers
- Drive phenotype discovery
- Identify parameter configurations for subgroups
- Translate statistical findings into biomedical insights
- Interpret digital feature changes
- Explore cross-indication movement signatures
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- Python
- time-series data
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- RocheFull-timeInternshipOn-siteBasel
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Internship for physical activity monitoring in obesity(m/w/x)
Evaluating clinical-digital mapping for physical activity monitoring in obesity. Master's program enrollment in a relevant field, strong Python skills, and analytical mindset required. Longitudinal modeling and sensitivity analysis experience a plus.
Requirements
- Master’s program enrollment in Biomedical Engineering, Health Data Science, Movement Science, Biostatistics, or similar field
- Strong Python skills for time-series data handling
- Analytical mindset for understanding biological drivers
- Solid statistical foundation in longitudinal modeling
- Solid statistical foundation in sensitivity analysis
- Experience with time series (plus)
- Communication of digital signal processing concepts to clinical stakeholders
- Knowledge of obesity and cardiovascular and metabolic diseases (plus)
- Professional fluency in English, written and verbal
Tasks
- Evaluate clinical-digital mapping
- Determine impact of signal processing parameters
- Conduct longitudinal sensitivity analyses
- Identify responsive digital markers
- Drive phenotype discovery
- Identify parameter configurations for subgroups
- Translate statistical findings into biomedical insights
- Interpret digital feature changes
- Explore cross-indication movement signatures
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- Python
- time-series data
About the Company
Roche
Industry
Pharmaceuticals
Description
The company is dedicated to advancing science and ensuring access to healthcare for everyone.
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