Roche Diagnostics GmbH
Internship in Instrumental Analytics - Material Analytics(m/w/x)
Full-timeInternshipOn-site
Mannheim
from 2,268 / month
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RORoche Diagnostics GmbH
Intern(m/w/x)
Mannheim
from 2,268 / month
Full-timeInternshipOn-site
AI/ML
Data Science
Nejo AI Summary
Analyzing wearable sensor data and physiological metrics using regression frameworks for clinical studies. Proficiency in Python or R for predictive modeling with scikit-learn or XGBoost required. On-campus sport center, discounted meals, and recognition grant.
Requirements
- Enrollment in Master’s program in Computer Science, Data Science, Physics, or Engineering
- Technical understanding of digital wearables and physiological metrics
- Experience handling large, time-stamped datasets and sensor data transformation
- Proficiency in Python or R for predictive modeling
- Experience with scikit-learn and XGBoost
- Meticulous attention to detail in technical documentation
- Fluency in English
- Student enrollment for the entire internship period
Tasks
- Screen patents, literature, and clinical studies
- Analyze wearable data using complex regression frameworks
- Update cross-functional teams on project progress
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- Python
- R
- scikit-learn
- XGBoost
Benefits
Flexible Working
- Flexible working hours
Additional Allowances
- Attractive recognition grant
Corporate Discounts
- Discounted meal prices
Healthcare & Fitness
- Sport Center on campus
Team Events
- Online and offline networking events
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Roche Diagnostics GmbH 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 Diagnostics GmbH
Intern(m/w/x)
Mannheim
from 2,268 / month
Full-timeInternshipOn-site
AI/ML
Data Science
Nejo AI Summary
Analyzing wearable sensor data and physiological metrics using regression frameworks for clinical studies. Proficiency in Python or R for predictive modeling with scikit-learn or XGBoost required. On-campus sport center, discounted meals, and recognition grant.
Requirements
- Enrollment in Master’s program in Computer Science, Data Science, Physics, or Engineering
- Technical understanding of digital wearables and physiological metrics
- Experience handling large, time-stamped datasets and sensor data transformation
- Proficiency in Python or R for predictive modeling
- Experience with scikit-learn and XGBoost
- Meticulous attention to detail in technical documentation
- Fluency in English
- Student enrollment for the entire internship period
Tasks
- Screen patents, literature, and clinical studies
- Analyze wearable data using complex regression frameworks
- Update cross-functional teams on project progress
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- Python
- R
- scikit-learn
- XGBoost
Benefits
Flexible Working
- Flexible working hours
Additional Allowances
- Attractive recognition grant
Corporate Discounts
- Discounted meal prices
Healthcare & Fitness
- Sport Center on campus
Team Events
- Online and offline networking events
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Roche Diagnostics GmbH 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.
About the Company
Roche Diagnostics GmbH
Industry
Healthcare
Description
Das Unternehmen setzt sich dafür ein, Krankheiten zu verhindern, zu stoppen und zu heilen, und gewährleistet den Zugang zur Gesundheitsversorgung.
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