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  • Location: Munich
  • Salary: €50000 - €70000 per annum, Benefits: plus bonus, equity and benefits
  • Job Type:Permanent

Posted about 1 month ago

  • Sector: Informatics
  • Contact: Alex Butcher
  • Contact Email:
  • Contact Phone: 01403 216216
  • Start Date: 2023-10-23
  • Job Ref: V-49851
Are you looking to break into the scientific software space or perhaps you already have, and you are seeking your next challenge?

If you enjoy making sense of large data sets using Excel or Python, or have a passion for the latest generation of scientific platforms this is an excellent opportunity for you!

Our client partner has developed an Enterprise-class cloud solution for modern global R&D organizations that enables modernization of R&D workflows, greater data visualization tools, and adds predictive capabilities for end-users due to their patented machine learning algorithms. With offices in the US and Germany, they are now looking to expand their implementation team.

This role is open to those who are keen to develop a career in lab digitization as well as individuals with direct experience in the implementation of scientific R&D platforms. Once you have undergone the necessary training and development you will support customers with new implementation and support implementation of new customers. You will also be responsible for restructuring and contextualizing large data sets, designing implementation data structures, and configuring the platform. This is a fast-paced, project-oriented, customer and engineering facing role that requires a passion for data and science, strong communication and time management skills, and the ability to communicate with a wide range of stakeholders within the R&D space.

Qualifications/Experience required:
• Scientific Degree qualification subject such as biology, biotechnology, chemical engineering, chemistry, materials science or related subject
• Familiarity with data analysis and/or restructuring/ manipulation of large data sets using Excel or Python
• Strong English & German language skills required.

Onsite (Munich) or hybrid working considered.