Senior Business Analyst

The Senior Business Analyst within our Real World Evidence (RWE) supports the delivery of life sciences research solutions on IQVIA data collection platforms.

This role serves as a key analysis and delivery lead on protocoldriven regulated healthcare studies including observational registry and directtoparticipant research.

This position can be based anywhere in Australia.

12 month fixed term contract

Key Responsibilities

• Perform endtoend business and systems analysis for HRSbased RWE studies translating life sciences protocols into clear testable system requirements.
• Support study initiation and delivery by contributing to scope definition feasibility discussions configuration decisions and risk identification under guidance from senior leadership.
• Apply domain knowledge of Real World Evidence study designs participant data collection and scientific data workflows to inform system design and delivery decisions.
• Support configuration activities of data managers including ensuring alignment to product capabilities. Integrate configuration documents with requirements documentation. Assess analyze and document requirements for custom development using appropriate techniques for highly configurable projects (e.g. protocol review workshop output analysis document analysis review with product team client approvals).
• Produce highquality requirements artifacts leveraging reusable and single sourced content including business requirements user stories acceptance criteria process flows and data flows.
• Support the data managers to convey configuration and integration needs to the technical teams aligned with HRS platform capabilities and product standards.
• Support engineering teams throughout build and test phases by clarifying configuration and requirements validating solutions and minimizing rework.
• Apply good data management practices to ensure data integrity privacy and compliance with HIPAA GDPR and other applicable research regulations.
• Identify risks issues and dependencies within assigned studies and escalate appropriately with recommended mitigations.
• Support audits inspections and internal reviews by maintaining accurate complete and compliant documentation.
• Work closely with Project Managers to support delivery planning milestone tracking and change management activities.
• Collaborate with Product Engineering Epidemiology and Data Management partners to ensure requirements align with scientific objectives and platform capabilities.
• Communicate clearly with internal stakeholders and external clients to explain system functionality requirements decisions and delivery impacts.
• Support user acceptance testing and deployment activities.
• Provide informal mentoring and peer review support to Business Analysts promoting consistent analysis quality and adherence to standards.
• Contribute to reusable templates documentation standards and best practices for HRS life sciences delivery.
• Continuously build domain and technical expertise in real world evidence healthcare data standards and regulated system delivery.

Required Education & Experience

• Bachelors degree in Computer Science Health Sciences Biotechnology Business Administration or a related field (or equivalent experience).
• Typically 6 years of experience in business or systems analysis including handson experience delivering healthcare or life sciences data systems.
• Working knowledge of Real World Evidence study designs.
• Practical experience applying healthcare data standards and models (e.g. HL7 FHIR OMOP).
• Understanding of data management considerations for scientific datasets including longitudinal and participantreported data.
• Strong analytical and problemsolving skills with the ability to independently resolve moderately complex system and delivery issues.
• Proficiency with business analysis and collaboration tools (e.g. Jira Confluence Excel PowerPoint diagramming tools).
• Ability to produce clear accurate and auditready documentation.
• Strong written and verbal communication skills with the ability to engage effectively with crossfunctional teams.

Preferred Experience

• Experience supporting observational registry clinical research or other human subjects research studies.
• Experience working with decentralized directtoparticipant or digital health research platforms including Health Research Space.
• Familiarity with healthcare coding systems (e.g. SNOMED ICD LOINC).
• Exposure to SQL JSON or scripting languages (e.g. Python R SAS).
• Experience working with global or crossregional delivery teams.
• Strong AI skillset.

If you are interested please apply with your resume and a member of the talent acquisition team will be in touch via email.

IQVIA is a leading global provider of clinical research services commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at

IQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements misrepresentations or material omissions during the recruitment process will result in immediate disqualification of your application or termination of employment if discovered later in accordance with applicable law. We appreciate your honesty and professionalism.