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As part of the global technical development organization, 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.

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As an Intern in the particle design group you will be working on the following project-area:

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• Ab-initio solubility prediction enhanced by machine learning

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Improvement of the already established workflow for the solubility computation by a machine-learning module. This includes an experimental part (70% laboratory work including sample preparation, solubility measurements and solid residue analysis) as well as a computational part: The remaining 30% will be dedicated to data preparation, model training and evaluation of different machine learning models.

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You are an enrolled student in the subject of chemistry, chemical or process engineering, pharmacy, pharmaceutical sciences, pharmaceutical technology, physics or a related field (preferably with a bachelor\\\'s degree) 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 a 6-12 months internship in a modern working environment.

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Your further profile for one of the positions:

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• General:

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  • Team-oriented and decision-making personality

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  • Problem solving-oriented work habits

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  • Good knowledge of MS-Office (Word, Excel, PowerPoint) & Google equivalents (gSheets, gDocs, gSlides)

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  • Proficient in English, German is a plus

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  • Experience working in a lab-environment.

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• Specific for project area: Ab-initio solubility prediction enhanced by machine learning

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  • Good knowledge of python programming

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  • Basic knowledge of pandas, scikit-learn, XGBoost and Random forest regression models and hyperparameter tuning

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  • Basic knowledge of Jupyter Notebooks

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  • Ideally experience with Linux and Windows OS

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  • Ideally first experience with solid state characterization techniques: e.g. PXRD, DSC, TGA

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Your complete application includes the following documents

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• A Current CV and a Motivation Letter

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• A certificate of enrollment (if you are currently studying). If you want to use this opportunity to do a Master\\xe2\\x80\\x99s or Diploma thesis, please highlight this in your application

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• 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

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The Internship will start in 2024 for 6-12 month, please indicate your preferred start date and duration in your application.

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

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Roche embraces diversity and equal opportunity in a serious way. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our work will be.

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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

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At Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we\\xe2\\x80\\x99ve become one of the world\\xe2\\x80\\x99s leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.

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Basel is the headquarters of the Roche Group and one of its most important centres of pharmaceutical research. Over 10,700 employees from over 100 countries come together at our Basel/Kaiseraugst site, which is one of Roche`s largest sites. Read more.

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Besides extensive development and training opportunities, we offer flexible working options, 18 weeks of maternity leave and 10 weeks of gender independent partnership leave. Our employees also benefit from multiple services on site such as child-care facilities, medical services, restaurants and cafeterias, as well as various employee events.

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We believe in the power of diversity and inclusion, and strive to identify and create opportunities that enable all people to bring their unique selves to Roche.

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Roche is an Equal Opportunity Employer.

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