Junior Research Analyst – Data science, Mixed Methods

Job title:

Junior Research Analyst – Data science, Mixed Methods

Company

McGill University

Job description

Please refer to the job aid for instructions on how to apply.If you are an active McGill employee (ie: currently in an active contract or position at McGill University), do not apply through this Career Site. Login to your McGill Workday account and apply to this posting using the Find Jobs report (type Find Jobs in the search bar).The Media Ecosystem Observatory at McGill University is seeking applications for a full-time Junior Research Analyst – Data science, Mixed Methods position with expertise in data science and analysis. They will work on the Project on Information Ecosystem Resilience (PIER), an innovative project designed to monitor information ecosystem health, report on information events and incidents as they occur and build social capacity to manage information threats. The candidate will be joining us at a stimulating time of growth and expansion, and will help drive a growing research agenda through analyzing data and sharing research findings publicly.ABOUT US
The Media Ecosystem Observatory (MEO) is an interdisciplinary research initiative dedicated to analyzing the complex web of online harms and digital threats to democracy, while actively working to safeguard against them. MEO runs the Canadian Digital Media Research Network (CDMRN), a pioneering initiative committed to fortifying and fostering resilience within Canada’s unique information ecosystem. Its mission is to understand the dynamics of information production, dissemination, and consumption across digital media with the goal of empowering Canadians to navigate the complexities of the modern digital age.This role will be working on the Project on Information Ecosystem Resilience (PIER) at MEO. For more information about the project, visit us online.This initiative aims to achieve four goals:

• Provide baseline understanding of the information ecosystem conceptualizing information flows, influence, sources and effects of mis/disinformation and interference, and anomalies as it relates to media, public perception and the political discourse
• Monitor and identify information incidents as they occur, provide ongoing updates as an incident evolves, and characterize ripple effects to inform future planning and lessons learned, and
• Improve information ecosystem resilience through (mis)information literacy public education programming.
• PIER is predicated on the vision of research as a service, i.e. transforming the research process so that it can be delivered faster, be easily digestible and grounded in the operational needs of individuals and organizations faced with the information threats.

This work is conducted through a ground-breaking research approach that mixes ongoing public survey (tracking survey) with digital trace efforts that analyzes the information ecosystem through across-platform monitoring and analysis of the top 1% most influential social media accounts in our ecosystem. Qualitative research is also used to supplement some of our findings with interview data and evolve the theoretical landscape of information incident management.Skills & QualificationsThe successful applicant will have experience in:using and structuring research based on established research methodologiesanalyzing data to answer social scientific research questionstranslating and disseminating research knowledge into digestible, accessible and high-utility research products including reports, summaries, and articlescoordinating and openly communicating with team members on investigationsBasic familiarity with the Canadian information ecosystemWorking in small teams to conduct research and perform data analysisCollaborate and coordinate with social media communications team to enable dynamic, simplified research dissemination for the general publicSupport qualitative research activities, e.g., interviewing, qualitative coding, theory generation, etc.The successful applicant may have experience in:SQLmachine learninganalyzing ‘big data’, i.e., datasets that are too large to be held in memoryworking with social media data, or even have published in the area of misinformation, disinformation, and information ecosystem studies, and be familiar with the academic publishing processStatistical analysisSystems or complexity theory; network theoryqualitative methodstranslating research and findings into easy to digestible content suitable for public consumptioncommunicating effectively in FrenchResponsibilitiesUnder the direction of the MEO leadership, the successful candidate will be expected to fulfill the following duties:Analyze data emerging from the Observatory’s social and news media pipeline on an ongoing-basis to detect trends, patterns, anomalies, and facilitate the Observatory’s research projects on the health of the Canadian media ecosystem.Increase support during information events (e.g. elections, natural emergencies, etc.) to conduct “rapid-research” for monitoring, identifying and reporting on information incidents that may occur on a short turnaroundCoordinate the design and implementation of mixed methods research, i.e. collaborating with colleagues conducting qualitative research to build alignment between research approaches and co-create in depth, innovative researchCommunicate findings with team members, receive feedback, and converge on defensible conclusions.Contribute to the writeup of reports and summaries to present conclusions to a wider audience.Support writing and submitting grant applicationsContribute to the development and implementation of a misinformation digital literacy program that spans a variety of media, topics and target audiences ​Education RequiredDegree level:Bachelor-level degree completedSubject-matter expertiseSubject areas may include (but are not exclusive to):Political ScienceMedia studiesCommunications & journalismData ScienceEconomicsStatisticsLOCATION: Montreal, QCJOB TYPE: Fulltime (35-40 hours per week)SALARY: $30-35/hour (salary commensurate based on experience)Hourly Salary: $31.48Hours per Week: 40 (Full time)Location: Sherbrooke 680Supervisor: Assistant Professor (Research)Position Start Date: 2024-08-01Position End Date: 2025-03-31Deadline to Apply:This position is covered by the Association of McGill University Research Employees (AMURE) collective agreement.McGill University hires on the basis of merit and is strongly committed to equity and diversity within its community. We welcome applications from racialized persons/visible minorities, women, Indigenous persons, persons with disabilities, ethnic minorities, and persons of minority sexual orientations and gender identities, as well as from all qualified candidates with the skills and knowledge to productively engage with diverse communities. McGill implements an employment equity program and encourages members of designated groups to self-identify. Persons with disabilities who anticipate needing accommodations for any part of the application process may contact, in confidence, .

Expected salary

$30 – 35 per hour

Location

Sherbrooke, QC

Job date

Thu, 04 Jul 2024 06:26:51 GMT

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