Data Acquisition Engineer

S27a; Paris; Hybride; EUR 65 000 - 90 000; Plein temps

Avantages offerts par ce poste

Equity options

25 days paid time off per year

Partial remote work

Résumé du poste

Karavela in Paris is seeking a Research Scientist/Engineer to own MRI data processing and QA/QC pipelines, from raw acquisitions to curated datasets for downstream use. You will monitor data across imaging centres, investigate quality issues and work with acquisition teams to continuously improve collection processes.

As new MRI sequences are introduced, you will adapt pipelines and validate deployments across sites, collaborating closely with MRI physicists, CRAs and the model development team.

Qualifications

• Degree in MRI physics, medical imaging, biomedical engineering, neuroscience, signal processing, computer science or a related field.
• Hands-on experience with MRI or fMRI data and understanding of MRI acquisition and data quality.
• Experience developing scientific data-processing, signal-processing or QA/QC pipelines.
• Strong programming skills, particularly in Python.
• Excellent problem-solving and collaboration skills.

Responsabilités

• Own MRI data processing and QA/QC pipelines from raw acquisitions to curated datasets.
• Monitor incoming acquisitions across imaging centres and investigate data-quality issues.
• Work with acquisition teams to continuously improve data collection processes.
• As new MRI sequences are introduced, adapt processing, QA/QC pipelines and validate deployment across sites.
• Collaborate with MRI physicists, CRAs and the model development team to implement updates.

Connaissances

MRI/fMRI data handling

Python programming

Data-processing pipelines

Collaborative work

Problem solving

Formation

Degree in MRI physics / related field

Description du poste

Context

Karavela is a neuroscience research company established in 2025 and currently based in Paris, France. We build a foundation model of the human brain relying on next-generation magnetic resonance imaging. To do so, Karavela is collecting a very large MRI dataset from healthy volunteers listening to naturalistic stimuli such as audiobooks, podcasts and radio programmes. This dataset is then used to train deep learning models that can reconstruct the stimuli from recorded brain activity. The goal is to leverage the representations learnt by these models in downstream applications, in particular by providing biomarkers for neurological and psychiatric diseases in clinical trials. Karavela is currently organised into 3 teams focusing on data acquisition, model development and clinical applications.

Position summary

Karavela is scaling the acquisition of a large MRI dataset across multiple scanners and imaging centres in France and abroad. We are looking for a Research Scientist/Engineer to own the processing and technical quality of the MRI data collected by Karavela, from raw acquisitions to quality-controlled datasets ready for downstream use. You will build and maintain MRI processing and QA/QC pipelines, monitor incoming acquisitions across our imaging centres, investigate data-quality issues, and work with acquisition teams to continuously improve data collection. As new MRI sequences and protocols are introduced, you will work closely with our MRI physicist, CRAs running the experiments and model development team to adapt processing, QA/QC pipelines and validate their deployment across acquisition sites.

Qualifications

The ideal candidate will have:

• a degree in MRI physics, medical imaging, biomedical engineering, neuroscience, signal processing, computer science or a related field;
• hands‑on experience working with MRI or fMRI data with a good understanding of MRI acquisition and data quality;
• experience developing scientific data-processing, signal-processing or QA/QC pipelines;
• strong programming skills, particularly in Python;
• excellent problem‑solving skills and ability to work in a collaborative environment;

Benefits

This position offers:

• open-ended contract (CDI) ;
• competitive compensation, depending on experience ;
• equity options ;
• 25 days of paid time off per year ;
• full-time position in Paris, partial remote work is possible