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Hiring Unit:
Department of Surgery, Division of Surgical and Interventional SciencesCourse Title:
Statistics for Surgical ResearchCourse Code:
EXSU 606Estimated Number of Positions:
1Total Hours of Work per Term:
60Position Summary:
Assist with organization of course materials on myCourses. Grade assignments and draft feedback. Assist students with statistical softwares. Aid students on conceptual clarification and communicate areas of confusion to the instructor.
Qualifications:
Only Current Masters or Doctoral students registered at McGill are eligible to apply as Teaching Assistant. Preferably Students in Surgical and Interventional Sciences.
Preferably Students in Public Health, Epidemiology, Experimental Medicine, Computer Science, or a related field are also eligible.
Graduate-level training in biostatistics, epidemiology, or a related field.
Strong knowledge of statistical methods, including probability, confidence intervals, hypothesis testing, sample-size calculation, logistic regression, and survival analysis
Proficiency in SPSS and other statistical software (example R, SAS, etc)
Experience with data collection, management, analysis, visualization, and interpretation.
Ability to select appropriate biostatistical methods and critically evaluate study methodology and medical literature.
Strong analytical, teaching, and communication skills.
Successful completion of EXSU 606 with a final grade of A.
Must be eligible to work in Canada.
Who are External and Internal Candidates?
External Candidates:
Current McGill Graduate Student that has held previous jobs/contracts at the university and currently does not have an active job in Workday > applies as an External Candidate
Note: Review the information found here before you apply as external https://www.mcgill.ca/hr/files/hr/workday_guide_for_applying_to_ta_positions.pdf
Internal Candidates:
Current McGill Graduate Student with an active job(s)/contract(s) in Workday > applies as an Internal Candidate
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Before applying, please note that to work at McGill University, you must be both authorized to work in Canada and willing to work in the province of Quebec at the campus where the position is based / located.
McGill University is an English-language university where most teaching and research activities are conducted in the English language, thereby requiring English communication both verbally and in writing.
Hourly Salary:
Position Start Date:
Position End Date:
Deadline to Apply:
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, [email protected].
Skills Required
- Must be a current master's or doctoral student registered at McGill University
- Graduate-level training in biostatistics, epidemiology, or a related field
- Strong knowledge of probability, confidence intervals, hypothesis testing, sample-size calculation, logistic regression, and survival analysis
- Proficiency in SPSS and other statistical software such as R or SAS
- Experience with data collection, management, analysis, visualization, and interpretation
- Ability to select appropriate biostatistical methods and critically evaluate study methodology and medical literature
- Strong analytical, teaching, and communication skills
- Successful completion of EXSU 606 with a final grade of A
- Must be eligible to work in Canada
- Preferably a student in Surgical and Interventional Sciences
- Students in Public Health, Epidemiology, Experimental Medicine, Computer Science, or a related field are also preferred
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