Is working in a molecular laboratory your passion? Would you like to innovate and contribute to advances in genome editing in crops?
Come join us as Technical Assistant (m/f/d) Genome Editing at KWS SAAT SE & Co. KGaA. As a member of our international team, you will work on a permanent and full-time basis at our research facilities in Einbeck, Germany. You will work in a dynamic and innovative environment, and across teams and locations to perform transformation and genome editing experiments, particularly in sugarbeet.

WHAT YOU CAN LOOK FORWARD TO:

• Our team is very international and you will find open and honest communication with each other to ensure that all opinions are important and taken into account.
• As a family-run company, we live by the values of closeness, reliability, vision and independence - a culture that is also lived out in practice, e.g. through an open and friendly working atmosphere.
• Freely following the motto: “Make yourself grow!” we promote individual professional and personal development.
• As a basis, we offer excellent work equipment (e.g., the latest laboratory equipment), flexible working hours, a fully subsidized canteen, and sufficient free parking at the site.
• We create the appropriate framework conditions for you: capital-forming benefits, Christmas and vacation pay, childcare allowance, job wheel.
• Health and safety are very important to us, which is why we have a company doctor, a company fire department / paramedic (with time credit) and company sports.
  Seed your career by submitting your application today! We are looking forward to your application using our online application system SuccessFactors

• Apply and conduct molecular biology techniques for the analysis of plant material.
• Plan and carry out transient transformation experiments to support our genome editing activities.
• In-vitro reproduction and cultivation of sugar beet.
• May assist colleagues with other tissue culture and molecular operations and lab processes.
• Acquire know-how and evaluate results using in-house bioinformatic pipelines.
• Accurately record data and document experiments in electronic notebooks and in the KWS laboratory databases.