Research Assistant 1

at  McGill University

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Position Summary:
The position will support research investigating the impact of urban environment on human behaviors. The successful applicant will work in the intersection of health geography, epidemiology, and data science to measure human activities and urban environmental drivers of health using large digital data generated by research participants.

Under the supervision of Dr. Hiroshi Mamiya, the successful applicant assistant will be responsible for:

• Cleaning and linking geospatial, health, and behavioral data stored in database.
• Applying statistical modeling and machine learning algorithms to capture physical activity and dietary patterns from consumer transaction and wearable device data.
• Performing literature review about the impact of urban environment on physical activity and diets
• Assisting manuscript preparation
• Performing other related duties as required.

Qualifications:

• MSc in Epidemiology, (Bio)statistics, Public Health, Health Geography, Computer Science, or a related field. M.Sc and Ph.D in progress are acceptable, provided that the qualifications below are met.
• Proficiency in R statistical software and/or Python.
• Knowledge in statistical modeling.
• Excellent analytical and written and oral communication skills.
• Motivation to learn new analytical skills and applied public health research.

Hourly Salary:
$29.21
Hours per Week:
20 (Part time)
Location:
McGill College 2001
Supervisor:
Assistant Professor
Position Start Date:
2024-09-03
Position End Date:
2025-05-04
Deadline to Apply:
2024-08-18
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,
accessibilityrequest.hr@mcgill.ca

• Cleaning and linking geospatial, health, and behavioral data stored in database.
• Applying statistical modeling and machine learning algorithms to capture physical activity and dietary patterns from consumer transaction and wearable device data.
• Performing literature review about the impact of urban environment on physical activity and diets
• Assisting manuscript preparation
• Performing other related duties as required