Scientific Computing and AI Engineer; m​/w​/d) in Dortmund

Scientific Computing and AI Engineer (m/w/d) in Dortmund

Location
Dortmund

As a member of our team, you will have a unique position asa link between academic and industrial research. Our goal isto contribute to the development of medicines that improve the lives of millions of people.

We believe that meaningful work is an important building block for a satisfied life. Cohesion, respect, flat hierarchiesand an atmosphere that encourages innovation are amongour core corporate values.

• Administration, monitoring and support of our on-premises Linux server infrastructure, including GPU systems dedicated to AI workloads.
• Operation and troubleshooting of our containerised services and maintenance of our internal scientific web applications and databases, encompassing corrections to application code.
• Automation of infrastructure setup and configuration, and authorship of standard operating procedures ensuring reproducibility and auditability.
• Computational support for scientists in the company, including analysis and development of software and workflows.
• Close and continuous collaboration with our research staff: consultation on the effective use of the platforms, support in the implementation of reproducible scientific workflows, and the translation of scientific requirements into dependable technical solutions.
• Subject to background and interest, contribution in research projects and modelling.

• An advanced university degree in computer science, bioinformatics, chemistry, biology or a related discipline, or an equivalent combination of education, training and professional experience.
• A minimum of [3-5] years of experience in the administration of Linux servers in a production environment.
• Sound knowledge of programming fundamentals with demonstrated experience in building software for users. Knowledge of Python is an advantage, together with routine use of version control.
• Demonstrated experience with containerised deployments; familiarity with infrastructure automation and database administration is considered a significant advantage.
• Domain knowledge in chemistry or biology, acquired through academic training, research experience or prior employment in the life sciences, is strongly preferred; genuine interest in drug discovery is a prerequisite.
• A pronounced ability and willingness to collaborate closely with experts in medicinal chemistry, biology, assay development and proteomics, to understand their scientific requirements, and to translate them into dependable technical solutions.
• Good communication skills and fluency in English.

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