Researcher, Epidemiology

Position Summary The position independently performs moderate to complex mathematical modelling and epidemiological analyses, interprets results and supports design and dissemination of research studies under the guidance of the Principal Investigator (PI). Job Responsibilities • Assists with the design of epidemiological studies and translates research questions into appropriate mathematical modelling and analytical approaches. • Designs, codes and runs deterministic, stochastic compartmental and individual-based models describing disease dynamics and the impact of interventions. • Conducts literature reviews, evidence synthesis, meta-analyses and statistical analyses to inform model structure, assumptions and parameters. • Cleans, links, manipulates and analyzes data; assesses data quality and documents limitations and analytical decisions. • Performs sensitivity, uncertainty and scenario analyses and interprets findings in relation to the research question as required. • Maintains reproducible code, model documentation, analysis records, results and visualizations in accordance with team standards. • Contributes to analytical standards, procedures, quality checks and continuous improvement within the team. • Contributes to research plans, grant applications, manuscripts, reports and presentations. • Contributes to the development and maintenance of modelling, and standard operating procedures (SOPs). • Performs other duties as assigned. Education • Bachelor's Degree Experience Bachelor s degree in mathematics, statistics, epidemiology, public health, computer science, data science, or a related quantitative discipline with 3 - 5 years of relevant experience. Prior experience in a healthcare or epidemiological research setting is desirable. Knowledge, Skills and Abilities • Working knowledge of mathematical modelling, epidemiology, statistical analysis and research design. • Proficiency in one or more relevant programming languages or modelling platforms, such as Python, R, MATLAB, Mathematica, C or C++. • Knowledge of model calibration, sensitivity analysis, uncertainty analysis, validation principles and reproducible research practices. • Ability to prepare clear scientific reports, visualizations, manuscripts and presentations. • Attention to detail with the ability to work independently and as a part of a team. • Strong organizational skills and the ability to multi-task. • Proficiency in Microsoft Office Suites including Word, Excel, PowerPoint and Outlook. Licenses and Certifications Working Conditions/Physical Demands