Internship in Epidemiology/Biostat./Data Science/Bioinformatics (Master student) - SFDT1MSQ -GF1022

1A-B, rue Thomas Edison, Strassen L-1445, Luxembourg
07/10/2022 08:55:07
Background

People with type 1 diabetes have a higher risk of musculoskeletal disorders with a much higher risk of fracture events than those without diabetes. In musculoskeletal diseases, there is a decrease in trabeculae and trabecular thicknesses. The consequence is a reduced quality of life and disability for people suffering from this disease. The role of continuous glucose monitoring derived variables in developing musculoskeletal disorders is unclear. The analysis will use machine learning techniques and a traditional frequentist statistical approach.

Objectives

This project aims to study the prevalence of musculoskeletal conditions in a population of people with type 1 diabetes and their associations with a series of clinical, demographic, socioeconomic, behavioural and metabolic parameters, including continuous glucose monitoring.


Training and research environment

The intern will be supervised by Dr. Guy Fagherazzi and Dr Gloria Aguayo (“Deep Digital Phenotyping Research Unit”) from the Department of Precision Health. The Master’s student will lead a project on the analysis of CGM data to propose a prediction model of musculoskeletal diseases and to create a CGM-derived metric for the identification of people with type 1 diabetes at risk of musculoskeletal diseases.
He/She will have to take charge of the literature review, the pre-processing of the data, the data analysis, and the preparation of a scientific article.


What we offer

     Students will have the opportunity to work in an interactive and international scientific environment, prepare a scientific publication and present their own work during lab meetings.

      They will receive training in digital epidemiology research and data science and will have the opportunity to gain skills in data analysis.


KEY SKILLS, EXPERIENCE AND QUALIFICATIONS

        Master level in Statistics, Data Science, Bioinformatics, Health IT or equivalent required 

        Flexibility, adaptability, autonomy

        Ability to work with different profiles and people from different experiences and cultural backgrounds

        Language skills:

        Fluency in English is mandatory, with written skills in English. Any other language in use in Luxembourg would also be an asset.

        Applicants must be affiliated with their own university.

In short:

  • Contract type:   6-month fixed-term contract
  • Work hours:        Full time- 40h/week
  • Location:             Luxembourg
  • Start date:         January - April 2023
  • Ref:                      JF/INTSFDT1MSQ/GF/DDP


How to apply

Applications including a cover letter and a  curriculum vitae should be sent before January 2023 through our website via the apply button below. Please apply ONLINE formally through this web page. Applications by email will not be considered.