Beamline Data Scientist - Hiring in process/Finished, not possible to apply

Your Team
You will join the Scientific Data Group of the Technical Division. We provide the beamlines with a high-rate data acquisition system from cutting edge detectors. We also support online and offline data processing and visualisation pipelines that let users preview the final results of their X-ray scattering, imaging or spectroscopy analyses. We deal with high data rates (GB/s) and “big data” volumes. To strengthen the support we can offer to the beamlines and their users, we are looking for a Beamline Data Scientist to improve the data analysis experience within the MAX IV computing environments.

The successful candidate will contribute to developing and supporting the overall software ecosystem for data analysis within the MAX IV edge-cloud environment while at the same time directly assisting beamlines in developing their own analysis tools and frameworks. This can range from collaborating with the IT infrastructure group to enhance platforms such as JupyterHub, to implementing custom tools and GUIs for specific data processing tasks together with MAX IV scientists. Responsibilities involve building full stack web applications for data access, visualisation, and interpretation. Active engagement in major research software initiatives is encouraged, including contributions via pull requests, publications, and presentations at conferences and workshops.

Your primary responsibilities will include

• Develop and support reusable/extendable analysis codes that may be applied in multiple scenarios in post-acquisition data processing at the beamline.
• Develop and provide custom analysis support for the beamlines, as required during or post beamtime, by combining a data scientist's general expertise of handling big data sets with a scientific insight to the analysis objective.
• Develop and provide operational support for scientific software and services within the MAX IV edge-cloud environment, with a focus on web-based data analysis tools, particularly within the Jupyter ecosystem.
• Participation in related experiments.

To be successful in this role you need to have the following qualifications

• A degree in (Bio)Physics, Natural Sciences, Mathematics, Computer Science, or Engineering, or demonstrably equivalent qualifications and experience
• Minimum three years’ experience in a data intensive discipline demonstrating a proven role in a data science capacity
• Proficiency with Python, C++, Julia, Rust, or other major programming language. 

Below are seen as merits

• Advanced degree (PhD) in a relevant field
• Scientific expertise in designing and building research environments, particularly those supporting data-intensive workflows
• A documented significant contribution to the development of a scientific software during the last three years
• Working experience at synchrotrons or other large-scale experimental research facilities
• Experience with Photon and Neutron (PaN) data analysis
• Knowledge of X-ray scattering, imaging or spectroscopy techniques
• Demonstrated proficiency in developing web applications using modern frameworks
• Familiarity with Continuous Integration/Continuous Deployment (CI/CD) practices
• Familiarity with containerisation technologies and Kubernetes for software and service deployment
• Experience with developing AI-powered applications that integrate external data sources and scientific application systems

As a person you

• Have strong communication skills and the ability to collaborate effectively with colleagues across all levels, both within and outside the organisation
• Are a self-starter with a passion for learning new technologies
• Take initiative to solve problems
• Are creative, flexible and performance oriented
• Have an ability to cooperate and work with others as part of a multi-disciplinary team
  
  

What we offer
When you join our MAX IV team, you step into a world of front edge science. We make the invisible visible by supporting scientists from all over the world, generating scientific results for the benefit of society. We offer you a multicultural work environment with great opportunities for personal development with respect for a healthy work-life balance.

Would you like to work in a challenging and supporting environment? Then join us and take the opportunity to make a real difference!

For further information, please visit:
https://www.lunduniversity.lu.se/about-lund-university/work-lund-university
www.sweden.se
https://www.maxiv.lu.se/about-us/careers/compensation-benefits/