Research Data Analyst Spine Surgery Rsrch Group

Research Data Analyst Spine Surgery Rsrch Group (Job ID: 8860)

The primary responsibility of the Data Analyst includes well defined data management tasks such as writing and executing reproducible code for data cleaning, processing, and for conducting descriptive analyses for data science projects. The Data Analyst will use their specialized technical skills to conduct quality checks, format, validate, and standardize data from multiple complex sources, work collaboratively to problem solve, support administrative tasks, and perform descriptive analyses. They may also act as representative of the program to engage with participating sites and other collaborators including researchers to discuss and clarify data requirements. The Research Data Analyst must be able to interpret applicable regulations to ensure compliance during the conduct of the study.

This position requires on-site work at downtown Toronto. On-site work is essential to ensure seamless collaboration with our team, direct engagement with clients and stakeholders, and adherence to strict data security protocols. One year contract, with possibility of extension.

What responsibilities will you have in this role?

• Lead data processing workflow.
• Conducts exploratory and statistical analysis of data to identify differences in relationships between data;
• Identifies methodological approaches and decides on data required to answer specific questions;
• Applies statistical theories to build/restructures statistical models for data analysis using statistical software, e.g., R, SAS and converts database, as required, to support data analysis;
• Applies statistical theories and appropriate methods to conduct exploratory and statistical analysis/interpretation of data, and tests data, as required, to identify reliability and validity;
• Writes data handling programs, if required, that best facilitates data linkage, transfers and analyses;
• Manipulates datasets for merging, sorting, matching and transforming;
• Completes cleaning/consistency checks and other quality control measures necessary for the final analysis;
• Prepares output of statistical analysis for review, including graphs, tables and written work;
• Acts as a research analyst contact and ensures required protocols for the analysis are met; provides information/guidance to staff involved in the project; prepares and coordinates with internal and external research team members on the distribution of related reports;
• Participates in the production and validation of data visualization dashboards/reports for publication;
• Liaises with other researchers and works with external data sources and relevant bodies in the healthcare system to collect information and/or to keep current with the latest initiatives in the system;
• Respond to ad-hoc requests from team.
• Check (validate) any output tables, listings or figures generated to ensure accuracy and reliability of analyses.
• Write HTML/PDF/Microsoft Word reports summarizing the analysis.
• Other related duties as assigned.

Qualifications:

• Bachelor's degree in Computer Science, Statistics, Biostatistics, Engineering, or a related field is required.
• A Master's degree in a relevant discipline is considered an asset.
• At least 2 years of relevant work experience and computer programming/coding experience in a relevant software/programming/scripting language (R (preferably using tidyverse), Python, or other computer applications. Depending on the unit, the following may be required: experience with ADT and Soarian.
• Experience in healthcare is an asset.
• Fully proficient in the use of relevant programing languages (e.g., R including use of RMarkdown, SAS, LaTeX).
• Data management and/or monitoring experience an asset.
• Demonstrated ability to manage or support statistical programming activities to support research operations (dry, wet, clinical etc.).
• Experience merging and analyzing data coming from multiple sources (e.g., text files, databases, excel etc.).
• Experience using key software and databases such as: Oracle, SQL is an asset.
• Experience working with and manipulating large datasets.
• Must be detail oriented.
• Proficient with MS Office Software (Word, Excel, PowerPoint, Outlook etc.).
• Strong written and verbal communication.
• Ability to adapt to changing priorities and workloads.
• Ability to multi-task and prioritize.
• Demonstrated ability to work effectively with and communicate with individuals of varying levels of statistical and computer expertise.

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Thank you for applying.