DATA ANALYST - DR. MURACA (TEMPORARY/CASUAL)

Job Title                            Data Analyst

Interim Job Code            INT017 

Pay Grid                            Temporary

Pay Grade                        Level 3

Dates                                March 2023 - March 2024

Hours                                Approximately 10 weekly (casual)

About the Faculty:

McMaster University's Faculty of Health Sciences trains physicians, nurses, physiotherapists, occupational therapists, health care researchers, physician assistants and midwives to work together in teams, providing the finest patient care. Our pioneering education advances and our excellence in world-class research has consistently placed McMaster among the top 50 universities in the world for health and medicine.

About the Department:

The McMaster University Department of Obstetrics and Gynecology is a large multi-site department with over 100 Geographic full-time, part-time clinical and adjunct faculty located at two fully-affiliated teaching hospitals, community teaching hospitals and other distributed education sites. We are committed to providing excellent educational programs, leading edge basic science and health-care research and the highest quality in patient care. Our mission is education, research and effective care for women. We believe operating in a service-oriented and support model

About the Role:

The Data Analyst is responsible for the analysis and reporting of quantitative data for research projects using statistics, programming, and visualization techniques under the direction of a Principal Investigator.

Job Summary:

Perform data linkages and statistical/epidemiologic analyses using population-based datasets and preparation/presentation of those analyses in different formats (tables, graphs, reports, slides).

Accountabilities:

1.         Create analytical study cohorts using statistical software to link, clean, analyze and interpret large administrative health datasets (CIHI Datasets: e.g., DAD, NACRS; Provincial perinatal registries: e.g., BORN Ontario, BC Perinatal Database; Statistics Canada data holdings: e.g., Census data, T1FF).

2.         Extract, reformat and perform quantitative analysis using data from open-source repositories (e.g., US NCHS Birth Cohort Linked Birth – Infant Death Data Files).

3.         Summarize descriptive statistics of study cohorts in manuscript-quality tables.

4.         Identify, analyze, and interpret trends and patterns in complex data sets. Visualize and present findings to the research team.

5.         Build statistical/epidemiologic models under the direction of the Principal Investigator with the application of a variety of methods, for e.g., regression (linear, logistic, log-binomial, modified Poisson, etc.), ecologic models survival analysis, matching methods, time-series analysis, propensity score methods, additive and multiplicative interaction (e.g. RERI), quantitative bias analysis, mediation analysis, etc.

6.         Report/tabulate results from epidemiologic models (absolute and relative measures of association) required for the preparation of scientific papers and abstracts.

7.         Familiarity with statistical programming resources to support the application of novel methods.

8.         Collaborate with research team members to support grant applications, research project proposals and data requests with sample size/power calculations, preliminary data analyses, and clarifying data elements needed for research projects.

9.         Ensure all processes for storing and sharing research material are handled in accordance with established protocols, policies and procedures.

10.       Ensure accurate and detailed documentation concerning how and why analysis decisions are made throughout the course of a research project and maintaining/organizing analysis outputs.

11.       Perform other related duties as assigned by supervisor.

Qualifications:

Education: Completed a graduate degree in epidemiology, biostatistics, data science, or a relevant graduate degree. 

Experience: Minimum of 2 years’ experience. 

Assets:

State the skills and/or knowledge that a successful candidate would possess. 

•           Experience with CIHI Datasets: e.g. DAD, NACRS; Provincial datasets: e.g., BORN Ontario, BC Perinatal Database.

•           Experience working with Statistics Canada data at a Research Data Centre.

•           Experience with US NCHS Birth Cohort Linked Birth – Infant Death Data Files.

•           Familiarity/previous application of a variety of statistical methods such as regression (linear, logistic, log-binomial, modified Poisson), survival analysis, time-series analysis, propensity score methods, ecological models, quantitative bias analysis, additive and multiplicative interaction (RERI), mediation analysis, spline functions.

Additional Information:

The successful candidate will be joining a vibrant and highly productive research team and contributing to projects with direct impact on improving the health and well-being of pregnant individuals and babies. 

The successful candidate will be working within a fast-paced, multi-tasking, busy office environment. The ability to make quick decisions, exercise tact, diplomacy and exceptional judgement skills are a necessity for success in this role.

Please note that we will only communicate with candidates who are chosen for a preselection test or for an interview. We will ONLY be considering applications who upload their Cover Letter and Resume through the McMaster Careers website.

Additional supporting documentation is welcomed. Please note this is the only channel we will be accepting applications through; your application will not beconsidered if you apply through external job boards.