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Job Opportunity - Public Health Data Analyst or Epidemiologist, University of Victoria
Job Title: Public Health Data Analyst or Epidemiologist
Location: remote, anywhere in Canada; asset if able to work in-person at UVic campus, Victoria, BC
Hours: The position is full-time (35 to 37.5 hours/week). Generally, work hours are flexible, but you
would be expected to be available for co-working time and a few meetings per week during regular
business hours (9am-5pm PST) Monday to Friday.
Term: Flexible start, but ideally as soon as possible (March 30, 2023). The maximum allowable contract
length at UVic is one year, with possibility of renewal.
Pay range: Your hourly rate would be $28-$33/hour depending on your level of training and years of
work experience.
Description: Reporting to Dr. Nathan Lachowsky (me), with day-to-day supervision by Stephanie Arthur
(Data Analyst Lead), you would provide population health research data management and analysis
support for numerous quantitative projects under development and being implemented. You would be
responsible for ongoing management and analysis of research data, obtained from participant surveys
and biological specimen testing. You will enhance and implement analytic protocols as well as analyze
these data from conceptualization through written presentation for academic, policy/government, and
community audiences. You must be knowledgeable of quantitative study design, data analysis
methodology, and statistics as well as proficient with analytical software (Stata/R/SAS/SPSS, Excel).
As an Associate Professor in the School of Public Health and Social Policy, I have a vibrant and dynamic
program of research focused on community-based health equity research. Our team focuses on
empowerment of and social justice for marginalized communities such as 2SLGBTQ+ people, Indigenous
and ethnoracialized minorities, and those living with and affected by HIV, Hep C, and STIs. We’re looking
to support enthusiastic folks from the diverse communities that we work with. We believe that no
research about these communities should be developed without the communities in question being
involved every step of the way. “Nothing about us, without us”. As a research environment, the
University, our Faculty and our School espouse values for social justice, Indigenous knowledges,
interdisciplinarity, health equity, and ethical professional conduct. Our team also works closely with the
Community Based Research Centre (www.cbrc.net) and we encourage applicants to review
their core pillars and activities.
Job Description: Recognizing that no single person may possess all these skills and experience,
you will provide support to Dr. Lachowsky, the Community-based Health Equity Research
analyst team, and partners (e.g., collaborating faculty, community partner agencies, staff,
postdoctoral fellows, students) with the following tasks:
• Provide analytical support for research by using quantitative data analysis (descriptive
and analytic statistical methodologies). This includes synthesizing results into
meaningful outputs for research collaborators, including dynamic data visualizations.
• Perform data cleaning and linkage (e.g. follow-up surveys, biological measures).
• Design, write, test, debug, document and maintain program code for data management, data
cleaning, and statistical analysis.
• Contribute to the writing of reports and research papers. This includes providing statistical
results, writing methods and result sections, and preparing tables and figures as required.
• Collaborate on epidemiological and health research grant proposals (e.g., proofing proposals,
conducting power and sample size calculations, drafting analysis plans).
• Uphold privacy and confidentiality standards in storage and organization of research data and
associated files.
• Assist in the development of study protocols, questionnaires, and data collection tools.
• Program and test survey data collection tools (e.g. Qualtrics, REDCap).
• Participate in Community-based Health Equity Research group meetings and co-working hours.
• Act as a resource on study design and statistical methodology.
Qualifications:
A mix of education and work experience will be considered. The candidate should have a Bachelor’s
degree in any relevant field (e.g., public health, sociology, health sciences, statistics) and ideally
professional experience applying relevant skills in practice or a Master’s degree in Public Health,
Epidemiology, Population Health, Sociology, Applied Statistics, or any other relevant field.
Other preferred requirements:
• Strong attention to detail and sense of ethics;
• Knowledge of quantitative research designs and methods;
• Extensive experience with at least one statistical software (e.g. Stata, R, SAS, SPSS) is required;
• Experience conducting data cleaning and linkage as well as programming online surveys;
• Experience working with a variety of data files, including large and complex files, and being able
to transform raw data into finished products;
• Experience writing statistical analysis plans and reports is essential;
• Ability to synthesize and present results effectively to both technical and lay audiences;
• Ability to perform statistical analyses with an understanding of assumptions made, and the
extent of inference possible based on the design of study;
• Passionate for social change to address health inequities for the communities we work with;
• Understanding of and commitment to community-engaged research;
• Ability to exercise tact, discretion and safeguard confidentiality;
• Proficient with electronic technology (hardware, software), especially Microsoft Office software
(i.e., Outlook, Word, Excel, PowerPoint);
• Ability to work independently and in a remote collaborative environment;
• Experience working in a research environment.
If you are interested in a position, please send a cover letter and your resume/curriculum
vitae as individual PDF documents to Anya Slater at anyaslater@uvic.ca. References are not
needed at this stage. If you have questions, feel free to write to me at nlachowsky@uvic.ca
or call at +1(250)472-5739.
We will start reviewing applications March 13, 2023, but the posting will remain open until
filled.
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