Internship in Data Science/Bioinformatics/Health IT (Master student) - SFDT1HU - GF1022

1A-B, rue Thomas Edison, Strassen L-1445, Luxembourg
07/10/2022 08:43:25
Background

Hypoglycemia unawareness or impaired hypoglycemia awareness is when a person does not feel or notice hypoglycemia signs (autonomic, neuroglycopenic, or nonspecific symptoms). Frequent hypoglycemic episodes in the past, and diabetes duration, are the two major risk factors for hypoglycemia unawareness. About 40% of people with type 1 diabetes experience hypoglycemia unawareness and it is a significant barrier to obtaining tight diabetes control and is associated with a lower quality of life.

Objectives

The main objective is to create and validate a new CGM-derived metric to identify people with type 1 diabetes at risk of 1) impaired hypoglycemia awareness and 2) severe hypoglycemia based on data from the SFDT1 cohort study that could be used in clinical practice and estimated in an Ambulatory Glucose Profile (AGP) report.


Training and research environment

The intern will be co-supervised by Dr. Guy Fagherazzi and Charline Bour, (“Deep Digital Phenotyping Research Unit” from the Department of Precision Health). The Master's student will lead a project on the analysisof GCM data as time series and images in order to propose a prediction model and to create CGM-derived metric for the identification of people with type 1 diabetes at risk of hypoglycemia unawareness.  

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, AI methods applied applied to audio data. 


KEY SKILLS, EXPERIENCE AND QUALIFICATIONS

        Master level in 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:          February - April 2023
  • Ref:                      JF/INTSFDT1HU/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.