Phenotyping Data Scientist - Frankfurt am Main, Deutschland - Bayer
Beschreibung
At Bayer we're visionaries, driven to solve the world's toughest challenges and striving for a world where ,Health for all, Hunger for none' is no longer a dream, but a real possibility. We're doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining 'impossible'. There are so many reasons to join us. If you're hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there's only one choice.
Phenotyping Data Scientist (M/F/d)(M/F/d)
YOUR TASKS AND RESPONSIBILITIES
- Build, lead and drive the implementation of the digital transformation of the global small molecules organization as well as enable and promote databased decisionmaking
- Generate hypotheses in collaboration with domain experts based on analysis of phenotyping and biological data as well as create innovative predictive models to advance the R&D pipeline
- Collaborate with wet lab scientists to develop models and pipelines to analyze phenotypic and image data to enable better and faster decisionmaking
- Work closely with data engineers to put the models and tools you will develop into production
- Identify and evaluate novel digital phenotyping technologies and data science methodologies
- Play an active role in the Crop Science R&D phenotyping community
- Work in hybrid environment with global project teams and stakeholders
WHO YOU ARE
- University degree or PhD in the computational or natural sciences in a field such as computer science, data science, robotics, remote sensing, mathematics, bioinformatics, physics, statistics, computational biology, computer vision or similar field
- Programming or scripting experience in languages such as Python, R, C++, or Java
- Experience in developing models to analyze biological, image, or phenotypic data as well as experience in using high performance computing or cloud computing environments
- Motivated to lead and engage teams through transformation
- Excellent selforganization, problemsolving and stakeholder management skills
- Strong scientific and analytical thinking skills
- Highly developed soft skills and potential for leadership
- Ability to manage complexity and to work collaboratively as part of an interdisciplinary team
- Able to present complex issues clearly and convincingly to crossfunctional teams
- Fluent in English, both written and spoken
Maintaining a healthy work-life balance is important to us. We support flexible working time models and the option of working from home within Germany.
LI-DE
YOUR APPLICATION
This is your opportunity to tackle the world's biggest challenges with us: Maintaining our health, feeding growing populations and slowing the rate of climate change.
Location:
Germany : Hessen : Frankfurt a.
M.
Division:
Crop Science
Reference Code:789819
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