Healthcare Data Specialist / Spécialiste des données de santé

IQVIA Argentina; Toronto; On-site; CAD 75,000 - 95,000; Full time

Job summary

A global healthcare data company in Toronto is seeking a Healthcare Data Specialist to assist in the design and maintenance of healthcare data systems. The role involves ensuring data integrity, managing data standards, and collaborating with cross-functional teams. Candidates should have a bachelor's degree, 3+ years of experience in healthcare data, and strong problem-solving skills. This position offers a unique opportunity to impact healthcare data practices in a robust environment.

Qualifications

• Bachelor’s degree in a related field.
• 3+ years in healthcare data systems.
• Experience with HL7 FHIR, OMOP, data modeling, and integration.
• Strong problem-solving, communication, and documentation skills.
• Familiarity with U.S. healthcare data structures and standards.
• English language requirement.

Responsibilities

• Assist in delivering healthcare data systems on time and within scope.
• Develop scalable, maintainable systems for complex healthcare data needs.
• Model and analyze relational/non-relational data; Apply standards (e.g., HL7 FHIR, OMOP).
• Troubleshoot data system issues; Stay current with evolving healthcare data standards.
• Create clear technical documentation and diagrams; Communicate effectively.
• Work with cross-functional teams and stakeholders.

Job description

Overview

This position assists in the end-to-end design, development, implementation, deployment, and maintenance of robust healthcare data collection and processing systems. These systems are intended for and support critical observational studies, including population health, disease monitoring, clinical trials, and health surveillance.

The Healthcare Data Specialist supports the entire lifecycle of these systems, from conception to ongoing maintenance, with a primary emphasis on ensuring data integrity, quality, and adherence to U.S. healthcare standards. The goal is to deliver solutions that are well-architected, scalable, maintainable, and meet stakeholder needs.

Key Responsibilities

• Project Support: Assist in delivering healthcare data systems on time and within scope.
• Solution Design: Develop scalable, maintainable systems for complex healthcare data needs.
• Data Management: Model and analyze relational/non-relational data; Apply standards (e.g., HL7 FHIR, OMOP); Convert diverse data into standardized formats; Ensure HIPAA compliance and data integrity.
• Technical Expertise: Troubleshoot data system issues; Stay current with evolving healthcare data standards.
• Documentation & Communication: Create clear technical documentation and diagrams (e.g., ERDs, workflows); Communicate effectively with technical and non-technical audiences.
• Collaboration: Work with cross-functional teams and stakeholders.

Required Qualifications

• Bachelor’s degree in a related field.
• 3+ years in healthcare data systems.
• Experience with HL7 FHIR, OMOP, data modeling, and integration.
• Strong problem-solving, communication, and documentation skills.
• Familiarity with U.S. healthcare data structures and standards.
• English language requirement.

Preferred Qualifications

• Degree in Health Information, Biology, Psychology, or a quantitative field with research exposure.
• Proficiency in HL7 FHIR, SNOMED, ICD, LOINC.
• Experience with Python, R, SAS, SQL, Git.
• Certifications in healthcare data standards.
• Experience with longitudinal human subjects research.

IQVIA is a global provider of clinical research services, commercial insights and healthcare information. For more information, visit https://jobs.iqvia.com

IQVIA is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, marital status, or any other status protected by applicable law. Accommodations for applicants with disabilities are available in all aspects of the recruitment process upon request. If you require an accommodation, please contact our Talent Acquisition Team at [e-mail].

Please note that AI may be used in processing applications to assist the recruitment team, not to replace human decision-making.

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