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Research Data Analyst

2 months ago

Toronto, Ontario, Canada Providence Health Care Full time
Research Data Analyst

We are seeking a highly skilled Research Data Analyst to join our team at Providence Health Care. As a Research Data Analyst, you will play a critical role in supporting research projects focused on leveraging data and technology to improve health systems.

Key Responsibilities:

  • Develop and execute SQL queries to extract deidentified data from Electronic Medical Record (EMR) systems in clinical settings, ensuring data meets project and privacy standards.
  • Collaborate with team and external collaborators to develop new processes and solutions to meet their analytics needs.
  • Lead data processing efforts for advanced analytics projects.
  • Pre-process raw data to prepare for analysis, including cleaning and merging data from multiple sources, and understanding overall data quality.
  • Conduct descriptive analyses to answer ad-hoc requests from team members.
  • Conduct exploratory analyses of data to assess feasibility of new data science projects using relevant software/programming language (e.g., R, Python, etc.).
  • Perform inferential statistical analysis in data analyses software (e.g., R and/or Python). Write reports summarizing the analysis.
  • Train machine learning models in Python and/or R with a focus on natural language processing.
  • Validate any output tables, listings or figures generated to ensure accuracy and reliability of analyses.
  • Write reports and contribute to research papers summarizing the analysis, tailored to different end-users (e.g. clinicians, researchers, etc.).
  • Provide technical support with any analytics required for interactive dashboards, and reports with interactive visualizations using libraries.
  • Efficiently debug analytic code.
  • Ensure that all analyses are reproducible.
  • Manage version control of code and documents using tools like git and GitHub.
  • Create and develop data management plans for grant submission and project initialization.
  • Maintain documentation on key datasets and program data requirements.
  • Develop standard operating procedures describing data analysis and error resolution processes.
  • Engage with partners/collaborators to discuss and clarify data requirements.
  • Attend meetings with clinicians, researchers, community, code review, and leadership groups to understand project goals and deliverables.
  • Explain capabilities and limitations of datasets to researchers and other stakeholders.
  • Meet with research community, and leadership groups, as required, to provide overview on using/interpreting statistical data.
  • Perform quality control checks and data cleaning following standard operating procedures to ensure data is accurate and of high quality.
  • Analyze the causes of data errors and work with team members and external stakeholders to ensure errors/issues get resolved.
  • Identify methodological approaches and the data required to answer specific data science questions.
  • Assist with writing project protocols for data analyses, including protocols for: data extraction, data cleaning, and validation and checks for data quality.

Qualifications, Knowledge and Skills:

  • Completions of a Master's degree in Statistics/Biostatistics, Engineering, Epidemiology, Computer Science or recognized equivalent, and/or related discipline, required OR demonstrable equivalent combination of specialized education and experience.
  • 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.
  • Experience in implementing real-world ML/NLP projects.
  • Experience in healthcare is an asset.
  • Fully proficient in the use of relevant programing languages and tools (e.g., SQL, SAS, R, Python, git)
  • Experience in data management and monitoring.
  • 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 analyzing comparative studies and/or clinical trial data is an asset.
  • Experience working with and manipulating large datasets.
  • Experience in research data collection tools: proficiency with REDCap is an asset.
  • 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.

About Providence Health Care:

Providence Health Care is a leading healthcare organization dedicated to providing high-quality patient care and advancing medical research. Our team of experts is committed to delivering exceptional patient experiences and improving health outcomes.

Why Join Our Team:

As a Research Data Analyst at Providence Health Care, you will have the opportunity to work with a talented team of researchers and clinicians to advance medical knowledge and improve patient care. You will be responsible for analyzing complex data sets, developing new processes and solutions, and collaborating with stakeholders to achieve project goals.

What We Offer:

We offer a competitive salary and benefits package, as well as opportunities for professional growth and development. Our team is committed to creating a positive and inclusive work environment that supports the well-being of our employees.

How to Apply:

To apply for this position, please submit your resume and cover letter through our website. We thank all applicants for their interest; however, only those selected for an interview will be contacted.