Planning, execution and leadership of projects in thearea of data analysis, process performance improvement, advancedprocess control and process optimization for Bayer's productsupply
Identifying performance improvement potential
Deriving process models both data-driven andphenomenological for batch and continuous processes
Supporting the implementation of projects includingproject costing and the preparation of scope-documents
Working on innovation topics in data analysis, monitoringand process control
Trend scouting for new technology platforms andevaluating the benefits for process control, data analysis anddigitalization
Cooperating and coordinating with partners and experts inother fields
Who you are
Master’s degree in the field of process systemsengineering, chemical or biological engineering, life scienceengineering, pharmaceutical engineering or similar, PhD possible;
knowledge in chemical and process engineeringis mandatory
Open to graduates and professionals (m / f / d)
Preferably knowledge in the area of advanced processcontrol, (dynamic) process simulation and process modelling forchemical and pharmaceutical processes
Knowledge in process control and advanced analytics(data-driven models, data science, statistics) and programming arean advantage
Knowledge in the field of energy-efficient production andenergy management is helpful
Very good analytical and conceptual skills as well as ahigh degree of initiative and commitment
Excellent communication skills and the ability to developsolutions that meet customer expectations
Keen to tackle constantly changing challenges and to workas part of a team
Fluent in German and English, both written andspoken
Are you looking for a new challenge where you can show your passion for innovation? Are you interested in working as part of a global team to improve people’s lives?
Then send us your online application including cover letter, CV and references.
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.