Recherche d'emploi > Montréal, QC > Temps partiel > Data analyst

Research data analyst (Research Institute)

Research Institute of the McGill University Health Centre
Montréal, CA
48.5K $-90.1K $ / an
Temporaire
Temps partiel

Do you want to work for a world-renowned research institute that pushes the boundaries of biomedical science and health research?

Right here in Montreal! At the Research Institute of the McGill University Health Centre (RI-MUHC), you can be part of an organization focused on scientific discovery and innovation in patient-centered medicine.

Join us today and make a difference!

Job Description

RESEARCH INSTITUTE OF THE MUHC

The Research Institute of the McGill University Health Centre (RI-MUHC) is a world-renowned biomedical and hospital research centre.

Located in Montreal, Quebec, the Institute is the research arm of the McGill University Health Centre (MUHC) affiliated with the Faculty of Medicine at McGill University.

The RI-MUHC is supported in part by the Fonds de recherche du Québec - Santé (FRQS).

Position summary

We are currently seeking a highly motivated, organized, enthusiastic individual to join our dynamic team. Under the immediate supervision of the Principal Investigator, the incumbent will ensure effective management and analysis of the team’s data collection.

General Duties

Under the supervision of Dr. Abhinav Sharma, the incumbent will perform the following tasks :

  • Conducts statistical analysis for the different projects of the research team,
  • Supports the research team in the use of appropriate statistical methods,
  • Prepares statistical reports on the quality of the harmonized data,
  • Participates in the redaction of scientific papers and reports.

Website of the organization

Education / Experience

Education : Doctorate Degree

Field of Study : Biostatistics, bioinformatics, computational biology.

Work Experience : 1 year

Professional Membership : Yes No

Other Requirements :

  • Proficiency in using R statistical software (and other statistical software),
  • Familiarity with data analysis relating to proteomic data sets would be an asset,
  • Experience in harmonizing, integrating, and analyzing data from multiple datasets would be an asset,
  • Conversant with co-analysis methods ( meta-analysis, integrative data analysis, pooled analysis, etc.) would be an asset,
  • Excellent communication (verbal and written) and interpersonal skills,
  • Good organization skills, time management skills and ability to prioritize,
  • Experience in writing scientific papers or reports and communication of research results,
  • Experience with REDCap and / or r-language would be desirable.
  • Il y a plus de 30 jours
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