Postodc Recruitment- IA and Global Health

Postdoc Recruitment : Département Médicaments et santé des populations, Faculté
de Pharmacie, Université de Montréal

Details

This postdoc recruitment is part of a project supported by OBVIA and entitled:
A.I. “solutions” to global health challenges: an inter-disciplinary case study to evaluate
the development and implementation of an artificial intelligence based tool for
diagnosing tuberculosis, the world’s leading infectious killer.

The general objective of this project is to analyze the design and use of diagnostic
algorithms based on Computer Assisted Diagnosis using artificial intelligence (CAD / AI)
using a health equity approach.

While a quantitative segment will make it possible to analyze questions of representativeness, bias and efficiency with statistical tools, a qualitative segment aims to ask health equity questions in a more global way, in particular by focusing on:
i) the conception and design of algorithms (literature review, document analysis
and interviews in Montreal),

ii) their use in the context of care and their effects on health systems and health
policies on three fieldwork sites (a priori Pakistan, a country in Africa to be
determined and a country in South-East Asia to be determined)

iii) regulating them by standard-setting bodies such as the WHO, in particular by
observing brainstorming meetings on this subject and interviewing the experts
involved; anonymously and confidentially. The integration of these recommendations into the national guidelines will then be documented and analysed based on the ethnographic fieldwork from this study. Through these different means of data collection, the research will make it possible to
contrast and understand the different levels of health equity needing to be considered in
the use of CAD / AI in the context of global health.

Postdoc researcher will be co-supervised by Pierre-Marie DAVID at the faculty of
Pharmacy (Université de Montréal) and Faiz Ahmad Khan (McGill University). Both
researchers are OBVIA members.

Experience:
– PhD in social sciences, public health or any other relevant field for the project
(health law, data management and governance, …)
– Experience in the health field is an advantage
– Openness to mixed quantitative and qualitative methods

Offer:
45 000$/ year, 12 to 18 months.
To apply:
Send CV and cover letter to pierre-marie.david@umontreal.ca
Deadline March14, 2021

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The International Observatory on the Societal Impacts of AI and Digital Technology is made possible by the support of the Fonds de recherche du Québec.