How do I apply for the Intern position at Roche and track my application?

We provide a direct link to the official application portal. You can apply directly here . Additionally, you can easily track this and other applications by clicking the bookmark icon to save it to your YGI Kanban board .

Is the internship at Roche paid and what compensation can candidates expect?

Yes, this is a paid internship opportunity. Exact compensation details are typically finalized during the company interview process.

What are the working arrangements and expected duration for the Intern role?

This position is a full-time, structured as a not disclosed role, with an expected duration of 6 months.

What educational background or degree level is required for the Intern at Roche?

Candidates are generally expected to be holding or pursuing the following degree levels: Master.

Does Roche provide visa sponsorship or assistance for international applicants?

Regarding visa assistance and sponsorship for this role, the official status is currently listed as: Not disclosed.

Intern

Roche

Found 1 month ago

Location

Mannheim, Germany

Duration (Months)

6 Months

Time

Full-time

Work Mode

Not disclosed

Salary

2,268 Euro per month

Visa Help

Not disclosed

Last Verified

1 month ago

Education

Master

Skills & Qualifications

Technical Skills

Machine Learning
Python
R
scikit-learn
XGBoost
Data Analysis
Regression Frameworks

Soft Skills

Scientific Rigor
Meticulous attention to detail
Communication Skills
Collaborative
High-tech environment

Job Description

Screening of patents, literature, and clinical studies relevant to the project. Conduct analysis of the data from wearables using complex regression frameworks. Providing regular updates to cross-functional team of clinical scientists, biomarker experts, data scientists, and IVD experts.

Requirements

Currently enrolled in a Master’s program in Computer Science, Data Science, Physics, or Engineering, with a heavy emphasis on Machine Learning.
A deep technical understanding of how digital wearables detect, filter, and transmit physiological metrics.
Hands-on experience handling large, time-stamped datasets.
You excel at transforming noisy, raw sensor data into high-quality features for regression analysis.
Proficient in Python or R for predictive modeling.
Experience with scikit-learn and XGBoost.
Meticulous attention to detail in writing technical reports, and documentation.
Fluent in English.
this thesis internship is aimed at students (m/f/d) who are currently enrolled for the entire period of the internship.

AI & Machine Learning

Applied Machine Learning

Languages

English

Nice to Haves

Sensor Domain Expertise
Time-Series Proficiency

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21Open Positions

Intern

Education

Skills & Qualifications

Technical Skills

Soft Skills

Job Description

Requirements

Related Field

Related Subfield

Languages

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