Pediatric Data Manager & Harmonization Lead

The Hospital for Sick Children; Toronto; On-site; CAD 70,000 - 100,000; Full time

Benefits offered by this job

Health & dental benefits

1 year contract

Job summary

The Hospital for Sick Children (SickKids) seeks a Data Manager, Specialist to support CHILD's national longitudinal data resources. You will lead day-to-day data management, improve workflows, and ensure data are accurate, well documented and readily available for approved research use.

Reporting to the NCC and program managers, you will harmonize data across sites, maintain data dictionaries, and coordinate data extracts while supporting researchers and site staff with data system standards.

Qualifications

• Master's degree in epidemiology, population health or a related field.
• At least three years of experience managing complex health or research data.
• Experience with longitudinal, cohort, clinical or population-health datasets.
• Strong proficiency in R or Python.
• Experience with data cleaning, validation, harmonization and documentation.
• Experience developing reproducible or automated data workflows.

Responsibilities

• Lead data-management workflow improvements, including automation for cleaning, validation, harmonization and reporting.
• Manage day-to-day data-management processes for ongoing CHILD data collection.
• Develop and maintain data quality standards, structure, naming, and documentation; liaise with study sites.

Skills

Data management

Communication

Problem solving

Reproducible workflows

Team collaboration

Education

Master's degree in epidemiology or related field

Tools

REDCap

OpenSpecimen

Git/Github

SQL/Excel

Job description

The Hospital for Sick Children (SickKids) seeks a Data Manager, Specialist to support CHILD's national longitudinal data resources. You will lead day-to-day data management, improve workflows, and ensure data are accurate, well documented and readily available for approved research use.

Reporting to the NCC and program managers, you will harmonize data across sites, maintain data dictionaries, and coordinate data extracts while supporting researchers and site staff with data system standards.