This role supports the delivery of life sciences research solutions on IQVIA data collection platforms within the Real World Evidence domain
Job Summary
This role supports the delivery of life sciences research solutions on IQVIA data collection platforms within the Real World Evidence domain.
The position requires translating complex life sciences protocols into clear, testable system requirements while ensuring adherence to HIPAA and GDPR regulations.
Candidates will collaborate with engineering teams, product managers, and epidemiology partners to validate solutions and minimize rework during build phases.
Matching Summary
This role supports the delivery of life sciences research solutions on IQVIA data collection platforms within the Real World Evidence domain.
Skills & Requirements
Must-have
Real World Evidence study designs
Healthcare data standards HL7 FHIR OMOP
End-to-end business and systems analysis
HIPAA GDPR compliance knowledge
Jira Confluence proficiency
Nice-to-have
SQL JSON or Python scripting skills
Experience with decentralized research platforms
Strong AI skillset
Familiarity with SNOMED ICD LOINC coding
Global cross-regional team collaboration
Key Requirements
Bachelor's degree in Computer Science Health Sciences or related field
6+ years experience in business or systems analysis
Hands-on experience delivering healthcare or life sciences data systems
Working knowledge of Real World Evidence study designs