The Paul Scherrer Institute PSI is the largest research institute for natural and engineering sciences within Switzerland.
We perform cutting-edge research in the fields of matter and materials, energy and environment and human health.
By performing fundamental and applied research, we work on sustainable solutions for major challenges facing society, science and economy.
PSI is committed to the training of future generations.
Therefore, about one quarter of our staff are post-docs, post-graduates or apprentices.
Altogether, PSI employs 2200 people.
The Macromolecular Crystallography (MX) team at PSI is responsible for the development and operation of three MX beamlines and a crystallization facility at the Swiss Light Source (SLS) and for serial crystallography at both large research infrastructures SLS and SwissFEL.
The MX team is a multi-disciplinary group of around twenty-five people from diverse backgrounds in natural, computer, and engineering sciences.
The MX Data group delivers software solutions for MX applications and development, including data management, data acquisition, processing, analysis and archiving.
To lead this group and develop a cutting-edge yet sustainable software framework, we are looking for a Group Leader for the Data Group in Macromolecular Crystallography
- Lead the development of data-driven macromolecular crystallography (MX) at all three MX beamlines of the SLS / SLS 2.0, and serial crystallography at SwissFEL - Team leadership in all aspects, including science, staff, and budget responsibility - Actively collaborate with beamline scientists, engineers and other expert, groups to deliver upgrades, new techniques and commission new instruments and methods at the beamlines
You will be qualified to PhD level in natural science or related field, with experience in the Software Development Lifecycle, using a modern high-level language (including Python), and with an understanding of good software design principles and design for usability.
You will have good communication, interpersonal and analytical skills, with a personal interest or experience in working at the boundary between computing and science.
You are fluent in English (spoken and written).
Working knowledge of German would be advantageous.
Our institution is based on an interdisciplinary, innovative and dynamic collaboration.
You will profit from a systematic training on the job, in addition to personal development possibilities and our pronounced vocational training culture.
If you wish to optimally combine work and family life or other personal interests, we are able to support you with our modern employment conditions and the on-site infrastructure.
This is a Tenure Track position.
The employment contract will initially be limited to 3 years.
In your application, please refer to myScience and reference JobID 57934.
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