Senior Analyst, Market Access Platforms

Overview

This early‑career technical role supports Model N software used across pricing, contracting, market access, government spend transparency reporting, gross‑to‑net, revenue management, rebates, and chargeback processing. The individual will learn the functional and technical domains, perform configuration changes, support platform enhancements, troubleshoot issues, and ensure reliable system operation in line with software development lifecycle and change management standards.

• Serve as a technical resource for Market Access and revenue management systems, including sell‑side contracting software, ModelN, global pricing management, and associated platforms.
• Execute hands‑on software configuration changes, enhancement requests, defect fixes, data updates, testing support, and release activities across assigned platforms.
• Rapidly learn the functional and technical domain of pricing, contracting, market access, revenue management, rebates, and chargebacks in the life sciences industry.
• Translate documented requirements, user stories, defects, and support needs into technical configuration, system changes, test scenarios, and operational documentation.
• Support the full software development lifecycle: requirements intake, design, configuration, testing, deployment, validation, release management, and post‑release support.
• Work closely with internal technical teams, managed service providers, vendors, QA, compliance, and validation partners to deliver platform changes safely and effectively.
• Troubleshoot system issues, analyze root causes, document findings, and implement approved fixes or configuration changes within established change control processes.
• Maintain technical documentation, configuration records, test evidence, release notes, and support materials required for regulated systems and audit readiness.
• Apply AI and agentic AI concepts to improve software development lifecycle activities, including requirements analysis, configuration support, testing, documentation, issue triage, and operational efficiency.

• Strong understanding of SDLC, including requirements, design, configuration, testing, deployment, release management, change control, and operational support.
• Hands‑on technical aptitude with the ability to learn enterprise software platforms, execute configuration changes, troubleshoot issues, and support system enhancements.
• Rapidly build functional and technical knowledge in pricing, contracting, market access, revenue management, gross‑to‑net, government reporting, rebates, and chargeback processes.
• Working knowledge of AI and agentic AI concepts, with interest in applying them to software delivery, testing, documentation, support, and productivity improvement.
• Strong analytical and problem‑solving skills, with the ability to investigate system behavior, identify root causes, and document clear technical findings.
• Attention to detail and discipline in following system lifecycle, change management, testing, validation, and documentation requirements for regulated systems.
• Excellent written and verbal communication skills; ability to document technical changes, issues, test results, and release activities concisely and accurately.
• Comfort operating in a fast‑paced environment where priorities, systems, and business processes evolve.
• Ability to work effectively with technical teams, vendors, managed service providers, QA, compliance, validation, and support teams.

• Bachelor’s degree in computer science, information systems, engineering, data science, or another technical discipline; equivalent technical experience may be considered.
• 2–4 years of experience in software development, enterprise systems, technical configuration, systems analysis, data, or a related technical discipline.
• Experience working within the SDLC, including requirements, configuration, testing, release management, change control, documentation, and production support.
• Exposure to enterprise software platforms, configuration‑driven applications, integrations, reporting tools, or data management processes is preferred.
• Exposure to ModelN,…