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Biologist, Chemist, Chemical Engineer, Plant Agronomist as Scientific worker for Process Analytical Applications (f/m)

Scientific worker for Process Analytical Applications (f/m), KWS SAAT SE, Einbeck

KWS is one of the most innovative and long established plant breeding/seed companies worldwide. For more than 150 years we have been breeding and marketing high performance varieties for the modern farmer. Our key crops are sugar beet, corn and cereals as well as oil seed crops and potatoes. Our core markets are in the temperate climate zones of Europe, North and South America as well as China.
We are seeking to recruit at the earliest opportunity a

Scientific worker for Process Analytical Applications (f/m)

on a permanent and full time basis. The position is in the chemistry team, which is located in Research and Development Department of KWS in Einbeck, Lower Saxony, Germany.

Your tasks:

  • Chemometric data analysis and calibration of Near Infrared Spectroscopic (NIRS) applications on harvesters in the field and on stationary devices in the lab; including further development of our chemometric analysis portfolio
  • Provide end-user support and troubleshooting via phone, email, web and in-person for the analytical equipment including calibration, validation, database management and standard operating procedures
  • Development, implementation, validation and improvement of optical and spectral measurement applications for internal projects in breeding, production and sales.
  • The position will be responsible for the further development and maintenance of the data management systems for our NIRS applications

Your profile:

  • University degree in Biology, Chemistry, Analytical Chemistry, Biology, Chemical Engineering, Plant Agronomy or comparable degree in natural science
  • Demonstrated experience in optical spectroscopy with an emphasis in NIR
  • At least 2 years’ experience in optical measurement systems and their application in process analysis
  • Preferred candidates have experience in spectral data analysis and multivariate classification and regression methods. Significant hands-on experience in statistical analysis of spectral data such as e.g. PCA and PLS, is highly desired. Unscrambler or MATLAB processing experiences are a strong plus
  • Experience in agronomy or plant breeding is of an advantage
  • Basic knowledge in data base management is preferable
  • Must be able to work in a high performing team including multiple disciplines
  • Goal oriented self-starter with good organization, business / technical writing and time management skills
  • High degree of cooperation skills and excellent team working capability
  • Professional written and spoken German and English is mandatory, language skills in French are of an advantage
Interested? Then please send your detailed job application including your salary expectations, quoting the job posting number, to jobs@kws.com job posting number: 259 C
KWS Services Deutschland GmbH Human Resources,
Arne Graf P.O. 1463, 37555 Einbeck; Germany
Tel. + 49 5561 311-714

While applying for the job please refer on jobvector and use the following reference number: 259 C