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The Position

As part of the global technical development organization, we are responsible for the research and development of the drug substance solid state as well as oral dosage forms, at the Roche Basel site. The Particle Design group is the center of excellence for the design of drug substance particles with tailor-made solid-state properties to facilitate downstream processing to the drug product. This includes the development and optimization of the processes on laboratory scale, as well as scale-up of the corresponding manufacturing processes in close collaboration with the production sites. Our responsibilities also include the evaluation and implementation of new strategies to obtain particles with the desired properties.

The Opportunity:

You will support Pharmaceutical R & D (Research and Development) by improving the workflow for solubility prediction, crystal habit prediction and crystal structure prediction. This project is intended to further evolve existing software solutions in the realms of solubility prediction, morphology prediction and crystal structure prediction. The project goal includes conducting literature research on new approaches and testing of these in small subprojects.

Who you are:

You are a student ( or you graduated within 12 months prior to the start date ) preferably in the subject of chemistry, chemical or process engineering, pharmacy, pharmaceutical sciences, pharmaceutical technology, or physics and have an interest and experience in crystallization and solid-state characterization. Furthermore, you are interested in using and sharing your knowledge as part of your Internship in a modern working environment. Your further profile for this position:

• Reliable and accurate working style in a non-GMP environment
• Team-oriented and decision-making personality
• Self-sufficient, problem solving-oriented work habits
• Good knowledge of MS-Office (Word, Excel, PowerPoint) & Google equivalents (gSheets, gDocs, gSlides)
• Good knowledge of python programming
• Basic knowledge of pandas, scikit-learn, XGBoost and Random forest regression models and hyperparameter tuning
• Basic knowledge of Jupyter Notebooks
• Basic knowledge of computational chemistry tool
• Basic knowledge of Density Functional Theory, Hartree-Fock, Molecular Mechanics or semiempirical computational chemistry calculations techniques
• Ideally experience with Linux and Windows OS
• Proficient in English, German is a plus

This internship opportunity is one of a number of positions we offer in the department per semester and is not suitable for writing a Bachelor/Master/Diploma thesis.

The interviews will take place on an interview day with all considered candidates and the whole department.

Your complete application includes the following documents:

• A Current CV and a Motivation Letter
• A certificate of enrollment (if you are currently studying)
• For Non-EU/EFTA citizens: Due to regulations, you must provide a certificate issued by your university stating that an internship is mandatory for your studies and you must be enrolled during the entire duration of the internship
• The RiSM task (see below)

Application Process

The application deadline is 24.08.2025. All successful final candidates will be invited to a virtual interview day which will take place on 15.10.2025.

The Internship will start in 2026 for 9-12 months, please indicate your preferred start date and duration in your application.

More information about the Roche Internship program in Synthetic Molecules (RiSM) and other opportunities within this program you can find here.

Are you ready to apply? We are looking for someone who thinks beyond the job offered - someone who knows that this position can be a rare springboard to many other opportunities.

RiSM task

Artificial intelligence (AI) is rapidly transforming various aspects of life. Its applications span from ubiquitous uses such as virtual assistants and recommendation systems to complex domains including healthcare and scientific research. Assume that you are writing your own grant application for a 12-months internship that leverages AI within your chosen field of study or in a domain relevant to your academic background. We anticipate receiving your proposal (maximum of 3 slides, PDF format) alongside your application.

Who we are

A healthier future drives us to innovate. Together, more than 100’000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact.

Let’s build a healthier future, together.

Roche is an Equal Opportunity Employer.