INTERNSHIP - ADVANCED DATA ANALYTICS OF HEALTHCARE RECORDS

INTERNSHIP - ADVANCED DATA ANALYTICS OF HEALTHCARE RECORDS

INTERNSHIP - ADVANCED DATA ANALYTICS OF HEALTHCARE RECORDS

INTERNSHIP - ADVANCED DATA ANALYTICS OF HEALTHCARE RECORDS

Fondazione Bruno Kessler

Forschung

Hub

  • Art der Anstellung: Studierende
  • Vor Ort
  • Aktiv auf der Suche

INTERNSHIP - ADVANCED DATA ANALYTICS OF HEALTHCARE RECORDS

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Über diesen Job

The Bruno Kessler Foundation is a research and innovation institution based in Trento. The Foundation operates in a plurality of disciplinary fields and aims to achieve excellence in science and technology through 2 science clusters, one dedicated to technology and innovation and one to humanities and social sciences, organized in 12 Research Centers, and with more than 450 researchers. For more information visit https://www.fbk.eu/it/chi-siamo/ .
In this context, the Intelligent Digital Agents Unit focuses on the study and development of flexible technologies and prototypes of digital assistants in the sector of prevention and mental well-being.
More information about IDA at https://ida.fbk.eu/home .

Planned activities
The IDA Unit of the Digital Health and Well Being Center is looking for a motivated student (Bachelor’s, third year or higher, or Master’s level) with an interest in data analysis, particularly involving administrative healthcare data. The ideal candidate is a proactive and dynamic young person with good organizational and interpersonal skills, with a propensity for teamwork, motivated to undertake a training experience in an international context.
The intern will work with the Research Unit staff to support the following activities related to an administrative healthcare dataset:
  • Data cleaning, transformation, visualization using SQL and Python/R.
  • Exploratory analysis of healthcare service utilization.
  • Apply clustering algorithms (e.g. K-Means, DBSCAN) to cluster patients based on service utilization, and evaluate quality of clusters.
  • Model sequence of a patient healthcare events using techniques such as recurrent neural networks (RNN) to predict next likely service.
  • Develop predictive models for hospital readmission risk using patient history, and evaluate different approaches such as logistic regression, random forest, gradient boosting.

Requirements
  • Currently enrolled in at least 3rd year of Bachelor’s program or pursuing a Master’s degree in Computer Science, Data Science, or a related field. Familiarity with the healthcare domain is a plus, but not required.
  • Working knowledge of SQL and at least one of the following programming languages: Python or R.
  • Proficiency in English, as the internship will be conducted in English.
  • Good relational and teamwork skills.
  • Good organizational skills and analytical thinking.
Internship Information
  • Internship start date: as soon as the suitable candidate is found
  • Internship experience duration: 4 months
  • The internship experience will take place at the FBK facilities in Povo
  • We offer support in finding accommodation at affiliated facilities, in the case of off-site candidates
  • We offer the possibility to use the internal canteen service
  • Possible recognition of participation allowance
  • Possibility of linking the internship with bachelor or master thesis

How to Apply
All interested parties are asked to fill out the online form by clicking on "Apply Online" in the "Internship opportunities" section, attaching the following documents in PDF format:
  • curriculum vitae
  • motivational letter
For any details about the internship activity, please contact: Marina Andric ( mandric@fbk.eu ), Mauro Dragoni (dragoni@fbk.eu).

For any further information, please contact the Human Resources Department at: jobs@fbk.eu

Application deadline: the notice will be withdrawn when the desired applications are reached.

Unternehmens-Details

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Fondazione Bruno Kessler

Forschung

Povo, Italien

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