Research Engineer

VHIR-RRHH-FOR-003_vs02_

TheVall d'Hebron Research Institute

(VHIR) is a public sector institution that

promotes and develops the research,

innovation and biosanitary teaching of the

Vall d’Hebron University Hospital. Through

the excellence of our research, we identify

problems of society and we contribute to

spread them around the world.

In April 2015, the **Vall d’Hebron**

**Research Institute (VHIR) **obtained

the recognition of the European

Commission **HR Excellence.**

This recognition proves that VHIR

endorses the general principles of the

European Charter for Researchers and

a Code of Conduct for the Recruitment

of Researchers **(Charter & Code)**.

**VHIR embraces Equality and**

**Diversity. As reflected in our values**

**we work toward ensuring inclusion**

**and equal opportunity in**

**recruitment, hiring, training, and**

**management for all staff within the**

**organization, regardless of gender,**

**civil status, family status, sexual**

**orientation, gender identity and**

**expression, religion, age, functional**

**diversity or ethnicity.**

**Research Engineer (Medical Image & AI)**

**Stroke Research**

We are looking for an engineer with a biomedical/computer science profile with an interest in medical image

setting. We are a research team with a majority of clinicians, with several engineers (one senior medical

image engineer) and active medical image processing projects. You will have supervision and support of a

medical image research engineer.

Our projects include translational research with deep learning vision algorithms (e.g., CNNs, ViT) and graph

neural networks, mainly focused on improving stroke care by introducing advanced processing onto pre
- interventional medical imaging (i.e., CT) to derive powerful decision support for endovascular treatment in

stroke.

Our strengths reside in wide availability of data (internal and external sources through strong collaborations),

close contact with clinicians (you will always be designing solutions aimed at solving a specific need) and full

pipeline for development and deployment (there will exists the necessary infrastructure and support for

deployment of developed solutions).

You will also be communicating with the IT department within the hospital when integrating the solutions

within the hospital infrastructure, and you will have to collaborate with external entities in the designing

process of related solutions such as the Visiocat project, aimed at creating a platform for image visualization

at a regional level.

Adequate projects for Master's thesis and prospects of doing a PhD.
- VHIR-RRHH-FOR-003_vs02_

TheVall d'Hebron Research Institute

(VHIR) is a public sector institution that

promotes and develops the research,

innovation and biosanitary teaching of the

Vall d’Hebron University Hospital. Through

the excellence of our research, we identify

problems of society and we contribute to

spread them around the world.

In April 2015, the **Vall d’Hebron**

**Research Institute (VHIR) **obtained

the recognition of the European

Commission **HR Excellence.**

This recognition proves that VHIR

endorses the general principles of the

European Charter for Researchers and

a Code of Conduct for the Recruitment

of Researchers **(Charter & Code)**.

**VHIR embraces Equality and**

**Diversity. As reflected in our values**

**we work toward ensuring inclusion**

**and equal opportunity in**

**recruitment, hiring, training, and**

**management for all staff within the**

**organization, regardless of gender,**

**civil status, family status, sexual**

**orientation, gender identity and**

**expression, religion, age, functional**

**diversity or ethnicity.**

**JOB DESCRIPTION**

**Education and qualifications**:
**Required**:

- Bachelor’s degree in Biomedical Engineering, Computer Science, Data Science, Mathematics, Physics or

related field.
- Fluency in Python (minimum: PyTorch, Numpy, Pandas).
- Comfortable with git, ssh.
- Fluency in English (minimum B2/C1 preferred).

**Desired**:

- Master's degree in a related field (finished or for Master's thesis).
- Validated experience in medical image/deep learning projects (any publication record will be valued).
- MongoDB.
- Familiarity with medical imaging modalities (e.g., CT, MRI, DSA, etc.) and image formats (DICOM, NIFTI).
- Experience in training, testing and/or deploying deep learning solutions (models developed in PyTorch).

**Main responsibilities and duties**:

- Lead engineering projects in the medical image context from beginning to end. Curated databases are readily

available.
- Write state-of-the-art reviews in relevant medical image processing algorithms in preparation for translational

projects.
- Turn your engineering projects into clinical and technical publications.
- Assist collaboration with external entities to overview data entry processes and design of solutions.
- Residual participation in smaller projects as a