— How it works

After a succesful batch 1 in 2020, we will publish the next round of challenges for batch 2 in March 2021. You will then have time until end of April to share your idea with us.

Participating is really easy: Just select the challenge that sparks your interest the most and best fits your skill set. Have a look at our challenges and select the one you want to tackle – we will give you a hint as to which challenges might be the perfect match for you. Good to know: Some of our challenges are also for teams!

Any questions on how to start?

read more

Stay

curious

— our next
challenges will
be posted in
March 2021…

Stay

curious

— our next challenges will be posted in March 2021…

Personalised
Healthcare (PHC)

We are bringing together a unique understanding of human biology with new ways to analyse health data. Our vision is to ensure that the screening, diagnosis, treatment and even 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.

— Our challenges

Working on diverse biomedical data sets to derive new insights that have the potential to shape the future of medicine. Does that sound great to you? In this area you will work on algorithms around various data types ranging from Next Generation Sequencing data, public-omics data sets, unstructured text, Real World Data to imaging.

— Mentors

Dr. Franziska Braun
Senior Data Scientist, Roche Diagnostics GmbH

Dr. Markus Bundschus
Head Data Office, Roche Diagnostics GmbH

Dr. Lars Hummerich
Head of Oncology Innovations, Roche Diagnostics Deutschland GmbH

Jan Rieckmann
Group Lead Data Insights,
Roche Diagnostics GmbH

Personalised
Healthcare (PHC)

We are bringing together a unique understanding of human biology with new ways to analyse health data. Our vision is to ensure that the screening, diagnosis, treatment and even 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.

— Our challenges

Working on diverse biomedical data sets to derive new insights that have the potential to shape the future of medicine. Does that sound great to you? In this area you will work on algorithms around various data types ranging from Next Generation Sequencing data, public-omics data sets, unstructured text, Real World Data to imaging.

— Mentors

Dr. Franziska Braun
Senior Data Scientist, Roche Diagnostics GmbH

Dr. Markus Bundschus
Head Data Office, Roche Diagnostics GmbH

Dr. Lars Hummerich
Head of Oncology Innovations,
Roche Diagnostics Deutschland GmbH

Jan Rieckmann
Group Lead Data Insights,
Roche Diagnostics GmbH

Impact of checkpoint inhibitor therapies on a patients’ immunogenicity status

Apply until Nov 30, 2020 / Xplorers Camp on Dec 4, 2020 

Impact of checkpoint inhibitor therapies on a patients’ immunogenicity status

— Quest Lover

Are you curious about cancer immunotherapy everyone in the oncology world is talking about? Do you love using and advancing your skills to analyze complex data and shedding light on current research questions?

let’s go!
Computational deconvolution for patient stratification in the context of non-small cell lung cancer

Apply until Nov 30, 2020 / Xplorers Camp on Dec 11, 2020 

Computational deconvolution for patient stratification in the context of non-small cell lung cancer

— Puzzle Freak

Computational methods can help to unravel the complexity of the tumor microenvironment of individual patients. We ask for your help to assess such methods to enhance our understanding of cancer heterogeneity and to improve patient classification.

let’s go!

Apply until Nov 30, 2020 / Xplorers Camp on Dec 10, 2020 

Development of a digital companion for breast cancer patients

— Quest Lover

Cancer patients often do not know what to do when they get their initial diagnosis and are often overwhelmed with the situation. We are curious to learn from your ideas how to enable patients to navigate through the jungle of information, challenges and hurdles, so that they can be in the driver’s seat of their patient journey inside the healthcare system.

let’s go!

Apply until Nov 30, 2020 / Xplorers Camp on Dec 8, 2020 

Incorporating Natural Language Processing (NLP) Workflows into an open-source genomics cancer portal

— Quest Lover / Teams welcome

Support clinicians in decision-making processes through easy access of mutation dependent targeted therapy options by using NLP.

let’s go!
Greenfield Challenge

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 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.