Roche
Internship in Computational Biology: CVRM Genetics(m/w/x)
Full-timeInternshipOn-site
Basel
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RORoche
Internship for physical activity monitoring in obesity(m/w/x)
Basel
Full-timeInternshipOn-site
Data Science
Nejo AI Summary
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
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Roche and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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RORoche
Internship for physical activity monitoring in obesity(m/w/x)
Basel
Full-timeInternshipOn-site
Data Science
Nejo AI Summary
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
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Roche and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
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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