Functions
Contribute to the technical design, development and operation of analysis facilities supporting scalable and reproducible scientific analysis workflows.
Design and implement Virtual Research Environments (VREs) combining data management, workflow execution, software distribution and analysis services.
Contribute to federated scientific data infrastructures, including data lake concepts, distributed data management and large-scale data access.
Support and coordinate technical activities with scientific communities involved in open science data challenges, including particle physics and external research infrastructures, and contribute to the technical coordination role in the ESCAPE collaboration.
Develop and maintain software components, service integrations and operational tooling for scientific computing services, including cloud-native deployments and automation.
Promote common solutions and best practices across communities, contributing to competence centres, working groups and collaborative technical forums.
Work with research infrastructures and scientific domains such as particle physics, astronomy, astroparticle physics, among others to translate requirements into robust computing solutions.
Qualifications
Master's Degree or PhD or equivalent relevant experience in the field of Software Engineering, Physics or a related field.
Experience
Development and operation of scientific computing platforms or research services.
Analysis facilities, distributed analysis environments or interactive scientific workflows.
Large-scale data management, data lake architectures or federated infrastructures.
Integration of research data services, repositories, workflow platforms or authentication and authorisation systems.
Technical collaboration with scientific communities or international research infrastructures.
Familiarity with open science, FAIR data principles, research repositories or EOSC-related services would be an advantage.
Experience in a coordinating role in distributed scientific communities around data analysis and data management would be an asset.
Experience with tools such as Rucio, REANA, CVMFS, Notebook technology (e.g. JupyterLab), or Zenodo/InvenioRDM would be an asset.
Technical Competencies
Knowledge of programming techniques and languages: for scientific computing services, particularly in Python, with familiarity in web technologies such as JavaScript and React.
Architecture and design of ICT systems: design, deployment and operation of distributed systems and cloud-native applications.
Knowledge of operating systems: containerisation and orchestration technologies such as Kubernetes and Helm.
Data-intensive computing, data management and federated data access.
Experience with analysis platforms, workflow systems or Virtual Research Environments.
Behavioural Competencies
Demonstrating Accountability: taking responsibility for own actions and decisions.
Working in Teams: cooperating constructively with others in the pursuit of team goals; balancing personal goals with team goals.
Communicating Effectively: checking to ensure that the message has been well understood.
Solving Problems: addressing complex problems by breaking them down into manageable components.
Achieving Results: driving work / projects along and seeing them through to their conclusion.
Language Skills
Spoken and written English, with a commitment to learn French.
Eligibility and Closing Date No later than 21.07.2026 at 23:59 CEST.
Diversity has been an integral part of CERN's mission since its foundation and is an established value of the Organization. Employing a diverse workforce is central to our success. We welcome applications from all Member States and Associate Member States.
Employment Conditions
Contract type: Limited duration contract (5 years). Subject to certain conditions, holders of limited-duration contracts may apply for an indefinite position.
Working Hours: 40 hours per week
Job Flexibility: Hybrid
This position involves:
Work during nights, Sundays and official holidays, when required by the needs of the Organization.
Stand‑by duty, when required by the needs of the Organization.
Job Grade and Reference Job grade: 6-7
Job reference: IT-CA-IR-2026-139-LD
Field of work: Software Engineering and IT
Benchmark Job Title: Computing Engineer
Global Benefits
A competitive salary (tax free), increasing in line with your years of relevant experience.
30 days of paid leave per year plus 2 weeks annual closure.
Coverage by CERN's comprehensive health insurance scheme (for yourself, your spouse and children) and membership of the CERN Pension Fund.
Family, child and infant monthly allowances depending on your individual circumstances.
A relocation package (installation grant, removal, travel expenses) depending on your individual circumstances.
Possibility to extend your contract up to 8 years and eligibility for indefinite contract tenure.
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Contribute to the technical design, development and operation of analysis facilities supporting scalable and reproducible scientific analysis workflows.
Design and implement Virtual Research Environments (VREs) combining data management, workflow execution, software distribution and analysis services.
Contribute to federated scientific data infrastructures, including data lake concepts, distributed data management and large-scale data access.
Support and coordinate technical activities with scientific communities involved in open science data challenges, including particle physics and external research infrastructures, and contribute to the technical coordination role in the ESCAPE collaboration.
Develop and maintain software components, service integrations and operational tooling for scientific computing services, including cloud-native deployments and automation.
Promote common solutions and best practices across communities, contributing to competence centres, working groups and collaborative technical forums.
Work with research infrastructures and scientific domains such as particle physics, astronomy, astroparticle physics, among others to translate requirements into robust computing solutions.
Qualifications
Master's Degree or PhD or equivalent relevant experience in the field of Software Engineering, Physics or a related field.
Experience
Development and operation of scientific computing platforms or research services.
Analysis facilities, distributed analysis environments or interactive scientific workflows.
Large-scale data management, data lake architectures or federated infrastructures.
Integration of research data services, repositories, workflow platforms or authentication and authorisation systems.
Technical collaboration with scientific communities or international research infrastructures.
Familiarity with open science, FAIR data principles, research repositories or EOSC-related services would be an advantage.
Experience in a coordinating role in distributed scientific communities around data analysis and data management would be an asset.
Experience with tools such as Rucio, REANA, CVMFS, Notebook technology (e.g. JupyterLab), or Zenodo/InvenioRDM would be an asset.
Technical Competencies
Knowledge of programming techniques and languages: for scientific computing services, particularly in Python, with familiarity in web technologies such as JavaScript and React.
Architecture and design of ICT systems: design, deployment and operation of distributed systems and cloud-native applications.
Knowledge of operating systems: containerisation and orchestration technologies such as Kubernetes and Helm.
Data-intensive computing, data management and federated data access.
Experience with analysis platforms, workflow systems or Virtual Research Environments.
Behavioural Competencies
Demonstrating Accountability: taking responsibility for own actions and decisions.
Working in Teams: cooperating constructively with others in the pursuit of team goals; balancing personal goals with team goals.
Communicating Effectively: checking to ensure that the message has been well understood.
Solving Problems: addressing complex problems by breaking them down into manageable components.
Achieving Results: driving work / projects along and seeing them through to their conclusion.
Language Skills
Spoken and written English, with a commitment to learn French.
Eligibility and Closing Date No later than 21.07.2026 at 23:59 CEST.
Diversity has been an integral part of CERN's mission since its foundation and is an established value of the Organization. Employing a diverse workforce is central to our success. We welcome applications from all Member States and Associate Member States.
Employment Conditions
Contract type: Limited duration contract (5 years). Subject to certain conditions, holders of limited-duration contracts may apply for an indefinite position.
Working Hours: 40 hours per week
Job Flexibility: Hybrid
This position involves:
Work during nights, Sundays and official holidays, when required by the needs of the Organization.
Stand‑by duty, when required by the needs of the Organization.
Job Grade and Reference Job grade: 6-7
Job reference: IT-CA-IR-2026-139-LD
Field of work: Software Engineering and IT
Benchmark Job Title: Computing Engineer
Global Benefits
A competitive salary (tax free), increasing in line with your years of relevant experience.
30 days of paid leave per year plus 2 weeks annual closure.
Coverage by CERN's comprehensive health insurance scheme (for yourself, your spouse and children) and membership of the CERN Pension Fund.
Family, child and infant monthly allowances depending on your individual circumstances.
A relocation package (installation grant, removal, travel expenses) depending on your individual circumstances.
Possibility to extend your contract up to 8 years and eligibility for indefinite contract tenure.
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Computer Scientist - Open Science/Analysis Facilities (IT-CA-IR-2026-139-LD) Arbeitgeber: Physics World
CERN ist ein herausragender Arbeitgeber, der Ihnen die Möglichkeit bietet, an einem innovativen Projekt wie RADNEXT 2030 teilzunehmen, das den Zugang zu hochmodernen Strahlungstest-Einrichtungen in Europa koordiniert. Mit einem starken Fokus auf Mitarbeiterentwicklung und einer internationalen Arbeitsumgebung fördert CERN eine Kultur der Zusammenarbeit und des Wissensaustauschs, während Sie von attraktiven Vorteilen wie einem steuerfreien Gehalt, umfassender Gesundheitsversorgung und großzügigen Urlaubsregelungen profitieren. Hier haben Sie die Chance, Ihre Fähigkeiten in der angewandten Physik weiterzuentwickeln und aktiv zur Forschungsgemeinschaft beizutragen.
