Business Systems Analyst, Market Access Platforms

Vertex Pharmaceuticals; Boston (MA); On-site; USD 104,000 - 156,000; Full time

Job summary

Vertex Pharmaceuticals in Boston is seeking an early-career software professional to support Model N-based pricing, contracting, and revenue management platforms. You will learn the domain, configure software, support enhancements, troubleshoot issues, and ensure compliant operation across the SDLC.

Candidates typically hold a technical degree and 2–4 years in software or a related field, with knowledge of AI concepts and how agentic AI can boost development, testing, and documentation.

Qualifications

• Bachelor's degree in a technical discipline; 2–4 years in software or related field.
• Experience with SDLC, configuration, testing, release management, and production support.
• Exposure to enterprise software platforms and data-management processes is preferred.

Responsibilities

• Serve as a technical resource for Market Access and revenue management systems including Model N and related platforms.
• Execute hands-on software configuration changes, enhancements, defects, data updates, testing support, and release activities across platforms.
• Learn pricing, contracting, market access, revenue management, rebates, and chargebacks in life sciences.
• Translate requirements and defects into technical configuration, test scenarios, and documentation.
• Support the full software development lifecycle from requirements to post‑release support.
• Collaborate with internal teams, vendors, QA, compliance, and validation partners to deliver changes safely.

Skills

SDLC knowledge

Software configuration

Problem solving

Communication skills

AI concepts

Education

Bachelor's degree in computer science or related field

Tools

Model N

Job description

Job Summary

This early‑career technical position supports Model N software used across pricing, contracting, market access, government spend transparency reporting, gross‑to‑net, revenue management, rebates, and chargeback processing. Responsibilities include learning the functional and technical domain, executing software configuration changes, supporting platform enhancements, troubleshooting issues, and ensuring reliable system operation in compliance with the software development lifecycle and change management standards.

Ideal candidate has a technical degree, 2‑4 years of experience in software or a related technical discipline, strong understanding of the software development lifecycle, and working knowledge of how AI and agentic AI can improve software delivery, testing, documentation, and operational support.

Key Responsibilities

• Serve as a technical resource for Market Access and revenue management systems, including sell‑side contracting software, Model N, global pricing management, government spend transparency reporting, gross‑to‑net, rebates, and chargeback processing 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, including 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.

Knowledge, Skills, And Abilities

• Strong understanding of the software development lifecycle (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.
• Ability to 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 an 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.
• Ability to work effectively with technical teams, vendors, managed service providers, QA, compliance, validation, and support teams.
• Clear written and verbal communication skills, with the ability to document technical changes, issues, test results, and release activities in a concise and accurate manner.
• Comfort operating in a fast‑paced environment where priorities, systems, and business processes continue to evolve.

Education And Experience

• Bachelor’s degree in computer science, information systems, engineering, data science, or another technical discipline; equivalent technical experience may be considered.
• Typically requires 2–4 years of experience in software development, enterprise systems, technical configuration, systems analysis, data, or a related technical discipline.
• Experience working within the software development lifecycle, 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 Model N, sell‑side contracting, government spend transparency reporting, gross‑to‑net, revenue management, rebates, or chargeback processing is preferred but not required.
• Interest in life sciences commercial operations, market access technology, regulated systems, and the technical platforms that support revenue management processes.
• Demonstrated understanding of AI and agentic AI concepts and how they can be applied to improve software development, testing, documentation, support, and delivery efficiency.

Pay Range

$104,000 - $156,000

Disclosed Salary Information

The range provided is based on what we believe is a reasonable estimate for the base salary pay range for this job at the time of posting. This role is eligible for an annual bonus and annual equity awards. Some roles may also be eligible for overtime pay, in accordance with federal and state requirements. Actual base salary pay will be based on a number of factors, including skills, competencies, experience, and other job‑related factors permitted by law.

Flex Designation

Hybrid‑Eligible Or On‑Site Eligible

Flex Eligibility Status

In this Hybrid‑Eligible role, you can choose to be designated as:

• Hybrid: work remotely up to two days per week; or select
• On‑Site: work five days per week on‑site with ad hoc flexibility.

EEO Statement

Vertex is committed to equal employment opportunity and non‑discrimination for all employees and qualified applicants without regard to a person's race, color, sex, gender identity or expression, age, religion, national origin, ancestry, ethnicity, disability, veteran status, genetic information, sexual orientation, marital status, or any characteristic protected under applicable law. Vertex is an E‑Verify Employer in the United States. Vertex will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law.