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Scientific Data Engineer
hace 4 meses
**Reference**
2023-FIX-35
**Deadline**
28/06/2024
**Division**
Computing
- Institution
- ALBA is the Spanish synchrotron light source, a large research infrastructure operating ten beamlines, complementary facilities, and an Electron Microscopy Center, this last in partnership with other institutions. Currently constructing multiple more beamlines, expanding the Electron Microscopy Center, and integrating advanced data analytics, it sums up a wide range of infrastructures geared toward finding solutions to societal challenges.
Located in Cerdanyola del Vallès (Barcelona, Catalonia, Spain), it is funded by the Spanish Government (Ministerio de Ciencia e Innovación) and the Catalan Government (Generalitat de Catalunya, Departament de Recerca i Universitats). The synchrotron light produced by 3 GeV electrons is used by thousands of researchers to analyse and understand the properties and functionality of matter, spanning a wide variety of fields, such as catalytic research, health, energy production/storage, environmental research, communication technologies, or cultural heritage.
Our highly motivated staff works in a multidisciplinary work environment with an atmosphere formed by lived diversity, inclusion and respect for our colleagues. Located close to Barcelona in a natural park and well connected by car and public transportation, with excellent connectivity to the world and an employer who understands the importance of life-work balance.
Facing an upgrade to ALBA II, a 4th generation facility, which will increase dramatically brightness and coherent flux, ALBA is in a phase of growth and dynamics. Being a part of the ALBA team will promote your career and will give you the opportunities to explore new territories.
For more information, you can take a look on our history watching this video:
- Tasks
- The Scientific Data Management (SDM) section addresses the needs in scientific data processing and management, guarantees the data compliance of future implementations and ensures that they are aligned with current data policy and FAIR principles. This is accomplished in close collaboration with other groups of the Computing Division responsible for beamline control, data acquisition, databases and IT systems infrastructure administration. The section is strongly oriented to give close support to Experiments Division (without limiting occasional support to other Divisions) in the following aspects:
- Scientific data processing/analysis software.
- Data pipelines development and optimization.
- Data formats, data analysis, data reduction after experiment acquisition.
- Post-processing visualization tools and workflow engines.
- Data and metadata management.
The Scientific Data engineer reports to the SDM Section head. He/she will develop software related to data processing for the different ALBA user communities and will work in synergy with scientists and other members of the Computing Division to ensure proper processing, storage and provision of data and metadata generated in the different beamlines. Certain tasks will take part in European collaborative projects, which aim at shaping the data management landscape among the different European photon and neutron sources.
The position offers a unique opportunity for professional development in a highly collaborative, international and stimulating work environment.
- RequirementsApplications that do not present the aforementioned or required documentation during the selection procedure will not be accepted.
****Form****al Education****:
- C1 English level required
****Experience****:
- 2 years of work experience as a software developer in Python, including software testing, version control, clean code practices and participation in multi-developer software projects.
- 2 years of work experience developing data processing pipelines for scientific analysis, involving macromolecular X-ray crystallography.
- 1 year of work experience in data management at a research infrastructure, showcasing expertise in scientific data catalogues (for example ICAT or SciCat) and data formats and standards (for example NeXus / HDF5).
- Selection Process Development
- The selection will be carried out through the competition-opposition system.
As a first phase, an analysis of the curriculum will be carried out (assessment of previous experience and / or scientific history, degree, training and other professional information relevant to the position). Career breaks or variations in the chronological order of CVs will be regarded as an evolution of a career, and consequently, as a contribution to the professional development.
The assessment of the CV in the competition phase will be scored up to 40 points, which will consider the following aspects:
- Master or PhD in Computer Engineering or Science (5 points)
- Additional experience (5 points per skill with 3+ years of working experience, maximum 35 points):
- High Performance
