How do I apply for the Internship in Instrumental Analytics - Material Analytics (m/f/d) 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 Internship in Instrumental Analytics - Material Analytics (m/f/d) 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 Internship in Instrumental Analytics - Material Analytics (m/f/d) at Roche?

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

Internship in Instrumental Analytics - Material Analytics (m/f/d)

Roche

Found 1 month ago

Location

Mannheim, Germany

Duration (Months)

6 Months

Time

Full-time

Work Mode

Not disclosed

Salary

2268 € per month

Visa Help

Not disclosed

Last Verified

1 month ago

Education

Bachelor
Master

Skills & Qualifications

Technical Skills

spectroscopy
statistical analysis
documentation techniques

Soft Skills

Curious mindset
Can-Do attitude

Job Description

Experiments involving light absorbtion and microscopy Screening of patents, literature, and clinical studies relevant to the project Documentation of experiments Providing support to regular updates to cross-functional team of scientists and relevant stakeholders

Requirements

Highly motivated student, currently pursuing bachelor's or master’s degree in natural sciences/engineering sciences/data driven discipline
High interest and thorough technical knowledge of spectroscopy
Good knowledge of statistical analysis
Curious mindset
Can-Do attitude
Skilled in documentation techniques (reports, documentation, SOPs)
Fluent in English

AI & Machine Learning

AI Research

Languages

English

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