Research Assistant - Computational Localization of Cellular Lipotypes: Universal Applications in Health (Ongoing)

This project explores the innovative concept of cellular lipotypes to map the anatomical distribution of primary brain cell types using high-resolution mass spectrometry imaging (MALDI-MSI). By defining unique lipotypic spectral signatures for neurons, astrocytes, oligodendrocytes, microglia, and choroid plexus cells, this approach provides a non- invasive alternative to traditional marker-based localization methods such as protein or genotyping. By combining computational algorithms with lipidomics, the study aims to reconstruct cell type distributions in healthy and impaired brain tissue. This methodology offers transformative potential to unravel cellular diversity and lipid specialization across tissues, paving the way for breakthroughs in understanding health and disease mechanisms. The project also explores the ability of this approach to identify dynamic changes in cell-specific lipids during pathological conditions, further enhancing its utility in disease modelling. By integrating advanced computational tools and lipidomic techniques, it is possible to generate highly detailed anatomical maps of cellular lipotypes, facilitating comparisons between healthy and altered states. The results include refined diagnostic tools, deeper insights into the role of lipids at the cellular level, and the development of a framework for studying lipid-based cellular mechanisms in health and disease, addressing critical gaps in biomedical research and therapeutic innovation.

Python, Machine Learning, Deep Learning. Preferable: Front-end and Back-end programming.

• Estimated annual gross salary: Salary is commensurate with qualifications and consistent with our pay scales
• Target start date: 2025/10/15

We provide a highly stimulating research environment, and unique professional career development opportunities.

We offer and promote a diverse and inclusive environment and welcomes applicants regardless of age, disability, gender, nationality, ethnicity, religion, sexual orientation or gender identity.

https://bcb.eus/

Interested candidates should submit an updated CV and a brief statement of interest to the following application email below. 

Reference letters are welcome but not indispensable.

The reference of the specific opening to which the candidate is applying should be stated in the subject line, and the application must be received before the application deadline.

Although candidates are welcome to contact the project supervisors to know further details about the proposed research activity, please be aware that the application will be evaluated only if it is submitted directly to the email address listed below as application email.

• Reference: 2025/53
• Application deadline: 2025/09/02
• Application email: jobs.research@dipc.org

Applications received by the deadline will be evaluated by a Committee designed by the DIPC board on the basis of the following criteria:

• CV of the candidate (60%)
• Adequacy of the candidate’s scientific background to the project (20%)
• Reference letters (10%)
• Other: Diversity in gender, race, nationality, etc. (10%)

Evaluation results will be communicated to the candidates soon after. Positions will only be filled if qualified candidates are found.

The DIPC may revoke its decision if the candidate fails to join by the appointed time, in which case the position will be awarded to the candidate with the next highest score, provided it is above 50 (out of 100).

However, the selected candidate may keep the position if, in the opinion of the Selection Committee, the candidate duly justifies the reasons why he or she cannot join before the specified deadline, and as long as the project allows it.