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Chemical Data Scientist (m/f/d)
  • Machine Learning
  • Excel
  • Modeling
Bayer
Monheim
192 days ago

YOUR TASKS AND RESPONSIBILITIES


  • Lead projects in the Computational Life Science (CLS) Small Molecules Technology Function team and closely collaborate with colleagues in Small Molecules Technologies and Formulation Technology
  • Identify, drive and realize value generation by new Data Science opportunities within Crop Science Small Molecules Technologies and Formulation Technology, with a special focus on the interface between Chemistry and Data Science
  • Work in close collaboration with experimental units to generate and test Data-Science-based hypotheses using various sources of relevant information for creating insights that advance R&D
  • Gather, analyze and model data to develop quantitative and qualitative insights via statistics, artificial intelligence, machine learning, or other data-driven or mechanistical modeling approaches covering dimensions from single molecule chemical processes up to purely physical processes during large scale production
  • Drive continuous improvement in methodology and processes through own expertise and experience, and by collaborating with other internal/external scientists
  • Communicate learnings and successes, and train colleagues from other domains in modeling and Data Science
  • Propel the use of Data Science for decision making within Crop Science R&D and promote an understanding of what Data Science can and cannot deliver
  • Build trustful, sustainable and impactful collaborations between CLS and experimental functions (Small Molecules Technologies and Formulation Technology)


WHO YOU ARE


  • PhD in computational or natural sciences (e.g. chemistry), mathematics, engineering or an equivalent qualification
  • Background knowledge or degree in Chemistry; Understanding of Colloid, Phys-Chem, Food or Process Chemistry is a plus
  • Understanding of LifeScience-R&D and product development is a plus
  • Experience in Data Science, modeling and Computational Life Science
  • Willingness and curiosity to learn experimental set-ups and challenges, as well as to dig into CropScience-R&D
  • Ability to work in interdisciplinary teams with excellent interpersonal and communication skill
  • Capability of presenting complex issues clearly and convincingly to cross-functional project teams
  • Strong analytical thinking with scientific rigor, willingness to challenge status-quo
  • Desire to make a difference by translating scientific results into tangible decisions and actions
  • High level of English communication skills, both verbal and written


#LI-DE

Your application

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.

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