Job Description:

We are looking to hire a Researcher to work on the project EASIER-COHORT: ExtrAction of Symptoms from electronIc hEalth Records to create automatic COHORTs funded by the SHAPE-Med@Lyon initiative. The candidate will have a contract with the Université Claude Bernard Lyon-1, and he/she will spend his/her time between the LIRIS and the CERP research laboratories.

Creating cohorts of patients in the health care domain is expensive and is time-consuming. Many data are available in the electronic health records (EHR) of each patient, especially in free-text field sections written by the medical staff. The EASIER-COHORT project aims at developing Natural Language Processing (NLP) techniques to retrieve automatically unstructured information, such as symptoms and comorbidities, to address epidemiological questions.

Role:

As a part of the role, you will:

• Design, develop, and test text-mining algorithms for the detection of symptoms and comorbidities in unstructured text.
• Apply the algorithms to obtain symptoms and comorbidities in a structured table, on retrospective EHR of patients from the Hospices Civils de Lyon positively tested to influenza.
• Address epidemiological questions with the help of experts from the CERP, using machine learning algorithms for classification and feature selection.
• Write research papers, technical reports and project deliverables.
• Attend academic conferences or project meetings to present your findings and serve as a representative for the project team.

Requirements:

• A PhD in Computer Science, preferably on Data Systems, Natural Language Processing, Digital Health, Artificial Intelligence, or related topics.
• Fluency in at least one programming language, e.g., Python/R, Java, C++, Rust.
• Fluency in the French language is desirable, in order to develop NLP tailored for French documents.
• Curiosity and passion for research and learning in general.
• Previous experience in the healthcare domain is a plus.

Application

To apply, send an email to Marta Nunes (marta.nunes@univ-lyon1.fr) and Andrea Mauri (andrea.mauri@univ-lyon1.fr) with:

• Cover letter in which you describe your motivation and qualifications for the position
• Curriculum vitae, including a list of your publications and the contact information of references

Interested candidates can contact us to know more about the position before sending the application.