Internship - Data and Digital Enablement (PRLABD)

F. Hoffmann-La Roche AG; Penzberg; On-site; EUR 23,000 - 28,000; Full time

Benefits offered by this job

On-site Standort Penzberg

2268€ brutto/Monat

Kantine -50% Rabatt

Fitnessstudio auf dem Roche Campus

Weiterbildungsmöglichkeiten

Unterbringung im Roche Boardinghaus

Roche-Shuttle nach München

Job summary

Roche in Penzberg bietet ein Praktikum im Bereich Machine Learning für analytische Signale an. Sie entwickeln und bewerten ML-/DL-Methoden für große Datensätze aus Zeitreihen, Spektren und multidimensionalen Messungen.

Sie arbeiten eigenständig an gut definierten Projekten und lernen, wie Messgrößen in der pharmazeutischen Forschung verwendet werden. Voraussetzung ist ein fortgeschrittenes Studium in einer quantitativen oder computergestützten Disziplin.

Qualifications

• Hands-on-Erfahrung mit ML-Ansätzen in Python
• Kenntnisse in Zeitreihen-Analysen und Spektren vorteilhaft
• Interesse an datengetriebenen pharmazeutischen Anwendungen und Teamarbeit

Responsibilities

• Entwicklung und Bewertung von ML-/DL-Methoden für große Datensätze analytischer Signale
• Eigenständige Übernahme definierter Projekte
• Zusammenarbeit mit Forschern aus unterschiedlichen Disziplinen
• Verständnis der Messgrößen und deren Nutzung in der pharmazeutischen Forschung

Skills

Python-ML-Implementierung

Signalverarbeitung

Git

Linux

Teamarbeit

Eigenständiges Arbeiten

Education

Quantitative oder computergestützte Studienrichtung (Bachelor/Master)

Tools

Git

Python

PyTorch/TensorFlow

Job description

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters.

The Position Internship in Machine Learning for Analytical Signal Data

Our Data and Digital Enablement department is part of Large Molecule Research (LMR) within Roche’s Pharma Research and Early Development (pRED) organisation in Penzberg. We develop, implement and operate data-driven software and AI solutions for Process Research & Analytics, including the processing and automated analysis of process and analytical data.

Your internship

You will develop and evaluate machine-learning and deep-learning methods for large datasets of analytical signals, including time series, spectra and multidimensional measurements. Your work will focus on information extraction, representation learning and automated analysis, ranging from benchmarking new approaches to developing robust, usable ML tools. You will take ownership of well-defined projects, supported by your supervisor and scientists from different disciplines. You will also learn how the underlying measurements are generated and used in pharmaceutical research.

What matters to us

• Teamwork: You enjoy exchanging ideas, are open to feedback and contribute your own perspective. You value learning from colleagues while being willing to question established approaches.
• Courage: You take ownership of your work and approach technical and scientific challenges with curiosity. You work independently and try new approaches when the obvious solution does not work.
• Continuous learning: You are motivated to develop your skills, work in a structured and persistent way, and use setbacks to deepen your understanding and improve your approach.

Your profile

This internship is open to students enrolled at a higher education institution throughout the internship. Applicants in a gap year between their Bachelor’s and Master’s degrees are also eligible with written university confirmation that enrollment will resume within the 12‑month gap year. You are preferably at an advanced stage of your studies in a quantitative or computational discipline. Other academic backgrounds are welcome with relevant technical experience. You have hands‑on experience implementing and evaluating ML approaches in Python, whether through coursework, research, internships or personal projects. You are comfortable setting up your own development environment, using Git and managing dependencies. Deep learning experience is a strong advantage. Additional experience with signal processing, scientific computing, software engineering, Linux, GPU computing or laboratory data is highly valued. Knowledge of drug development or biotechnology is a strong advantage. Prior exposure to life sciences or the pharmaceutical industry is a plus, but not required. You are curious about the science behind the data, take initiative and value collaboration and feedback. You communicate comfortably in English; German is a plus.

What we offer:

• Location: Penzberg, on‑site
• Duration: Minimum 6 months, full‑time
• Expected start: February 2027
• 2268€ Vergütung im Monat für ein Vollzeitpraktikum
• Ermäßigte Preise (-50%) in unserer Kantine
• Fitnessstudio auf dem Roche Campus
• Weiterbildungsmöglichkeiten und spannende Gastvorträge
• Option der Unterbringung im Roche Boardinghaus
• Gut organisierte Verkehrsanbindung nach München mit unserem Roche‑Shuttle

Equal Opportunity & Inclusion

Roche is an Equal Opportunity Employer. We believe it’s urgent to deliver medical solutions right now – even as we develop innovations for the future. We are passionate about transforming patients’ lives. We are courageous in both decision and action. And we believe that good business means a better world. That is why we come to work each day. We commit ourselves to scientific rigor, unassailable ethics, and access to medical innovations for all. We do this today to build a better tomorrow. We are proud of who we are, what we do, and how we do it. We are many, working as one across functions, across companies, and across the world. We are Roche.