Automated Greenhouse Expert - Phenotyping & Data Analysis (all genders)

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.

Automated Greenhouse Expert - Phenotyping & Data Analysis (all genders) 

YOUR TASKS AND RESPONSIBILITIES

• You implement ad hoc data analyses including visualization and POC models for image analysis
• You drive evaluation and application of new tools and methodologies to improve trial quality, sensor-based plant phenotyping and data analysis
• You support hands-on the execution of greenhouse experiments in an automated environment, including planning, application, trouble shooting of automation and evaluation of trials
• Together with the Team, you drive adaption and development of automation and digitalization for increased efficiency and quality of trials and data
• You partner with various engineering disciplines, customers, and vendors/suppliers to ensure successful day-to-day operation

WHO YOU ARE

• Degree in Plant Science, Agriculture, Horticulture or similar, with either Master degree, Bachelor degree with technical education and several years of relevant experience
• Experience in trial planning and data analysis, including experimental design, statistical analysis, and data visualization is a plus
• Experience with both standard MS Office, computer and/or software systems used in scientific data analysis, with ability to quickly learn new software programs and tools like R, Python, Spotfire
• Hands-on mentality with technical aptitude and interest to work practically in the greenhouse (experience with greenhouse automation)
• Excellent organizational skills, highly developed problem-solving skills, and effective execution of operational strategies with a “can do” attitude
• Demonstrated ability to manage ambiguity and high level of complexity very well, high degree of self-motivation, ownership, proactivity and ability to take/drive decisions
• High degree of social competence, strong communication skills and stakeholder management as part of a team and across functions in a dynamic, highly collaborative work environment
• Willingness to occasionally work on weekends to secure automation flow
• Fluent in German and English, both written and spoken

Our benefits package is flexible, appreciative, and tailored to your lifestyle, because: What matters to you, matters to us! 
 

• We ensure your financial stability through a competitive compensation package, consisting of an attractive base pay and our annual bonus
• We support your professional growth by providing access to learning and development opportunities, training programs through the Bayer Learning Academy, development dialogues, as well as coaching and mentoring programs
• We promote health awareness and opportunities for selfcare through various measures, such as free health checks with the company doctor and our health platform #machtfit
• We embrace diversity by providing an inclusive work environment in which you are welcomed, supported, and encouraged to bring your whole self to work

Be you. Be Bayer.

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. You have a voice, ideas and perspectives and we want to hear them. Because our success begins with you. Be part of something big. Be Bayer.

Bayer welcomes applications from all individuals, regardless of race, national origin, gender, age, physical characteristics, social origin, disability, union membership, religion, family status, pregnancy, sexual orientation, gender identity, gender expression or any unlawful criterion under applicable law. We are committed to treating all applicants fairly and avoiding discrimination.
 

Location:           ​​ ​   Frankfurt a.M.​

​​Division: ​               Crop Science​

Reference Code:  815642​