Senior Business Analyst

Role Overview

• Perform end‑to‑end business and systems analysis for HRS‑based 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 high‑quality 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.

Requirements

• Bachelor’s 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 hands‑on 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 participant‑reported data
• Strong analytical and problem‑solving 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 audit‑ready documentation
• Strong written and verbal communication skills, with the ability to engage effectively with cross‑functional teams.
• Experience supporting observational, registry, clinical research, or other human subjects research studies
• Experience working with decentralized, direct‑to‑participant, 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 cross‑regional delivery teams
• Strong AI skillset.

Tech Stack

• Python
• SQL

Benefits

• Competitive salary
• Flexible working hours
• Professional development budget
• Home office setup allowance
• Global team events