— Our Challenges

Our challenges are real business questions predominantly from the field of Personalised Healthcare (PHC) that need to be answered to do now what patients need next. PHC describes the vision of Roche to ensure that the screening, diagnosis, treatment and prevention of diseases will more quickly and effectively transform the lives of people around the globe – enabling the right treatment for the right patient at the right time. Therefore, it is key to bring together a unique understanding of human biology with new ways to analyse health data.

Stay curious: We will back with new challenges in October 2022. In the meantime, please feel free to share your own ideas with us via our Greenfield Challenge or meet us at the Bits & Pretzels HealthTech Conference from 29-30 June 2022 at ICM Munich.

Greenfield Challenge

You have an idea to solve crucial healthcare questions through data know-how? You are looking for Roche as an industry partner to put your idea into practice? Then share it with us and we will come back to you if and how we can collaborate on your idea.

share it!

Stay curious

— our new challenges will be posted in October 2022!

Advanced methods for signature analysis signature metascoring using annotated genesets_Roche_9848

Apply until 19 April 2022 / Xplorers Camp on 29 April 2022

Advanced methods for signature analysis: signature metascoring using annotated gene sets

Gene set analysis is crucial for interpreting the results of RNASeq experiments. However, most signatures do not get used because of poor annotation.

Algorithms for Liquid-Chromatography Optimization_Roche_4976

Apply until 19 April 2022 / Xplorers Camp on 27 April 2022

Algorithms for liquid-chromatography optimization

Let’s seek powerful and flexible algorithms for computer-assisted high-throughput liquid-chromatography (HPLC).

Machine-readable Clinical Practice Guidelines in Oncology_Roche_35875

Apply until 19 April 2022 / Xplorers Camp on 5 May 2022

Machine-readable clinical practice guidelines in oncology

Artificial Intelligence (AI) is divided into probabilistic and logics-based approaches. Machine-readable clinical practice guidelines form a prime use case for bringing these two approaches together. Only combined AI approaches enable us to understand, explain, and trust the hints and paths provided by the system which ultimately leads to better outcomes for patients.

Greenfield Challenge

You have an idea to solve crucial healthcare questions through data know-how? You are looking for Roche as an industry partner to put your idea into practice? Then share it with us and we will come back to you if and how we can collaborate on your idea.

share it!

For students and PhDs

Participating is really easy: have a look at our challenges, select the one you want to tackle and submit your idea (3 to 5 PPT slides). Or do you have another great idea which you would like to put into practice with Roche as a partner? Our Greenfield Challenge gives you the opportunity to propose a data-driven healthcare project to us.

Any more questions on how it works?

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For universities

If you already have a research team working in the field of one of our challenges, please get in touch with us directly to discuss a potential cooperation. In our Greenfield Challenges, you and your students are invited to share collaboration and research ideas to solve crucial healthcare questions through data know-how.

More questions on how to become a university partner?

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Stay up to date

Please send me updates on new challenges.

I agree that Roche Diagnostics GmbH may process the personal data provided by me for sending a newsletter. I am informed about the revocability of my consent for the future at healthcare.xplorers@roche.com. For further information, please refer to the privacy policy.

Stay up to date

Please send me updates on new challenges.

I agree that Roche Diagnostics GmbH may process the personal data provided by me for sending a newsletter. I am informed about the revocability of my consent for the future at healthcare.xplorers@roche.com. For further information, please refer to the privacy policy.