Bayer Crop Science would like to accelerate lab & greenhouse discovery processes with the help of advanced digital and data science technologies. For that purpose, we have created the G4Ag program, located at Bayer’s LifeHub Lyon, which aims to build collaboration with startups. We invite you today to apply to explore and develop with us innovative proof of concepts in digital and data science areas.
Startups or entrepreneurs with a focus on digital and data science
What it’s about
You are developing an innovative image analysis solution or a new unconventional type of sensor applicable to digitalization & analysis process,
You are specialist in data acquisition flow from multiple lab sources and are able to push excellence to facilitate data entry in digital systems,
You have excellent ideas to shorten small molecule discovery cycle using digital technology (artificial intelligence for new drug design and/or predictive toxicology, natural language processing, …)
Or you know how to empower scientists to transcend lab/greenhouse workflow…
Naturally, the list is not exhaustive. Your original and imaginative ideas can be scanned and supported, feel free to approach us.
We offer
A free co-working space for about 6 months (extensible) in the Bayer Life Hub Lyon, which is part of a R&D Bayer center, with independent access
A collaboration with Bayer around real business challenges
The concepts you develop are applied to actual research challenges with unique exciting and stimulating interactions with the Bayer scientists community.
A help in the IP generation and filing (redaction, ownership, maintenance, …), if any
A structured mentoring program and interactions with senior managers able to provide guidance from their perspective on various aspects of your business
Information to submit
When you submit your innovative project, please provide a high-level project plan including descriptions of:
The problem(s) you intend to solve and your suggested innovative solution
How this would enable you to collaborate with Bayer on our challenges
Existing solutions in the market and how your project is different
Your team skills (if relevant)
Please send us only non-confidential information
Timeline
Deadline for submission: November 18, 2018
Selection announced: early December 2018
Catherine Sirven
Senior Scientist Computational Life Science Portfolio