Neuroimaging Big Data Intern


Project Overview

MRI is becoming an increasingly powerful tool in the investigation of complex, progressive neurodegenerative diseases such as Alzheimer’s disease, Parkinson’s Disease and Multiple Sclerosis, however, the volume of data generated by scanners is enormous, and managing and processing this data is a highly demanding challenge. Many times the data available is of a retrospective nature (already acquired). Data storage structures, data quality and data acquisition parameters can vary dramatically across subjects, centres or projects. The aim of this internship will be to develop the automated protocols involved in high volume preprocessing, classification, data transfer and quality control.


Dr. David Moreno-Dominguez, Neuroimaging Lead

Goals / Deliverables

The intern will work alongside the scientific engineers at QMENTA to conduct data analysis using a state of the art scientific cloud processing platform.

The intern will develop upload mechanisms for the platform which can organise, classify and characterise the wide spectrum of heterogeneous medical imaging data which users upload to the platform.

The intern will work on the development of a standard procedure to upload neuroimaging metadata in the platform, as well as working on the standardization of the already uploaded neuroimaging metadata.

The intern will help on evaluating QMENTA data value, by extracting statistics from the data found in the platform.

At the end of the project the intern will have developed a strong understanding of neuroimaging data structures and acquisition paradigms and an insight intoworking in a cloud software engineering team.


6 to 9 months

Desired Skills
  • Strong programing skills (Python, Linux bash)
  • Good command of English
Bonus Skills
  • Experience of medical image processing
  • Experience with SQL or databases
  • Background knowledge in neuroscience

To apply for this position, please send a short cover email with your CV to: