[Filed position] Post-doctoral Recruitment
The Sciences Po médialab is looking for a post-doc in computational social sciences on the "genomic" turn in oncology as part of the ESPADON (Data landscapes and actionability in precision oncology) project funded by INCA.
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About the project
This position is part of a research project funded by INCa in partnership with SESSTIM (Aix-Marseille), CSI (Mines Paristech) and the Department of Social Studies of Medicine (McGill University).
Oncology has recently evolved from an organ-based approach to a precision oncology focused on molecular alterations, becoming a "data-centric" field. The objective of this post-doc is to understand how the "molecularization" of patients and their cancers is transforming the relationships between physicians, researchers, industry, organizations and patients. The project combines qualitative and quantitative methods to characterize the transformations that are taking place in the way circulation flow and actors interact
The originality of the project is to articulate advanced methods of automatic language processing, network analysis and sociological interviews to investigate the subject. Our first "field" of inquiry consists of a community of several thousands of individuals who are concerned by these transformations. Other fields will be tackled later, among others, we are interested in the dynamics of knowledge production within research communities.
The candidate will be part of an interdisciplinary team of researchers, engineers and designers of the medialab, and will collaborate with the members of the project consortium.
Missions
The candidate will be in charge of the implementation of surveys and analysis protocols in the above-mentioned field. The aim will be to implement digital corpus analysis techniques (several millions tweets) to account for interactions between actors over a period of more than 10 years
More precisely, we are both interested in the analysis of the content of the tweets, the coding of the descriptions of the actors, and the analysis of their interaction and affiliation networks. This quantitative analysis will be complemented by a close reading of the coprus: examination of singular individual trajectories and interviews with actors of interest.
Experiences and skills required
The candidate is expected to have an excellent knowledge of numerical data analysis methods as well as experience in the social sciences. These methodological skills may have been attested to by a PhD in a discipline such as computer science, applied mathematics or physics, or by an extensive practice of "data science". More generally, mixed profiles (digital humanities, computational social sciences, quantitative sociology) are welcome.
The project will use various quantitative methodologies in complex network analysis, automatic language processing, or machine learning. A thorough knowledge of one of these three fields is welcome but not mandatory.
The practice of programming languages such as Python or R is required. Good knowledge of visualization solutions is a plus.
Work environment
The successful candidate will be integrated into the SciencesPo Medialab, in the 7th arrondissement of Paris (remote work possible one day a week or more in the context of a pandemic) and will work with the team of researchers, engineers and designers.
The position is open from spring 2022, for a period of 15 months.
The proposed gross salary is around 3000 € / month and may vary slightly depending on experience. The position includes full health coverage, 40 days of paid vacation per year, 5 RTT, 50% of the financing of public transportation and meal tickets.
Sciences Po is an Equal Opportunity employer and academic institution.
To apply
Please send a CV and a cover letter detailing your experience and skills relevant to the position, as well as a link to your recent scientific papers (published or in progress) to the following addresses: