Post Doctorate Scientist - Clinical Imaging and Generative AI

Roche fosters diversity, equity and inclusion, representing the communities we serve. When dealing with healthcare on a global scale, diversity is an essential ingredient to success. We believe that inclusion is key to understanding people’s varied healthcare needs. Together, we embrace individuality and share a passion for exceptional care. Join Roche, where every voice matters.

The Position

A healthier future. It’s what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That’s what makes us Roche. 
 

The Opportunity

As a Postdoctoral Fellow in the Roche Pharma Research and Early Development Data and Analytics Department, you will develop state of the art imaging and artificial intelligence algorithms to support scalable applications across Roche's portfolio. 

This position is sponsored by the Roche Postdoctoral Fellowship Programme (RPF). The RPF  has the ambition to build and maintain the Scientific Leadership of the future and to provide leading Roche scientists with the opportunity to collaborate with talented postdoctoral researchers, and leading academic research groups, from around the world. One of the key aims is to advance basic science and technologies that will be published in top-rated, peer-reviewed scientific journals, if necessary preceded by priority patent applications.

As a postdoctoral fellow you will be supervised by scientists at Roche, as well as an  academic partner.  The duration of the RPF project is initially set for two years, with the possibility of extension for a third year. You will be based in Basel with ad hoc stays with our academic partner (Institut Bergonie, Bordeaux, France).

As a Postdoctoral fellow, you will play a pivotal role in achieving the following objectives:

• Utilize and refine handcrafted and deep radiomics techniques to extract and analyze quantitative features from CT imaging of tumor lesions.  

• Develop, compare, and validate state of the art radiomics models.

•  Harness foundational models in deep learning to advance the discovery of imaging biomarkers.  

• Establish automated pipelines for the extraction and validation of imaging features from clinical trial datasets, enabling scalable applications across Roche's  portfolio.

In this role you will:

• Develop and implement imaging based artificial intelligence algorithms.

• Curate imaging datasets and interact with subject matter experts to generate data insights.

• Form part of a group of computer vision, data science and medical imaging experts.

• Perform statistical analysis and provide meaningful data insights.

• Present results at internal and external scientific venues, conferences, and workshops as well as in high profile scientific journals.

• Write structured, tested, readable and maintainable code.

Who you are

• Possess a PhD in a quantitative field (e.g., Physics, Chemistry, Computer Science, Mathematics, Statistics, Biomedical imaging) with a record of impactful scientific publications.

• Expertise in radiomics, artificial intelligence, or machine learning applications in medical imaging.

• Demonstrated expertise in medical image processing and modern machine learning techniques, and proficiency with Python and a deep learning framework (e.g., TensorFlow-Keras, PyTorch).

• A strong background in oncology and cancer immunology, with experience in imaging modalities, particularly CT scans.

• Strong background in statistics and data analysis.

• Excellent communication and collaboration skills, with proficiency in English, both written and verbal.

When does it start?

This fellowship's start date is April 2025 or on availability. Please clearly indicate your preferred starting date on your motivation letter.

All applications must include a CV, a motivation letter, a publication list, and a copy of your PhD certificate, if available.

More information about the RPF Programme: https://careers.roche.com/global/en/the-roche-postdoctoral-fellowship-programme

Who we are

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

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.

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.

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.

Roche is an Equal Opportunity Employer.