Lead Applications Engineer - Veeva

Lead Applications Engineer

It's More Than a Career, It's a Mission.

Our people are the foundation of our success. By joining our growing team at Sarah Cannon Research Institute (SCRI), a subsidiary of McKesson, you will have the opportunity to become part of one of the largest community-based cancer programs to advance oncology treatments and improve outcomes for cancer patients across the globe. We look for mission-driven candidates who have a desire to advance the fight against cancer and make a difference in the lives of patients diagnosed with cancer every day.

The Lead Applications Engineer serves as the technical authority and solution architect for complex systems and application ecosystems. This role leads the design, integration, validation, and optimization of scalable, compliant solutions that transform manual processes into automated systems, ensuring alignment with technical, regulatory, schedule, and budgetary requirements. The Lead Applications Engineer provides technical leadership across cross-functional teams, mentors engineers, and drives innovation through AI-enabled capabilities.

Key Responsibilities:

System Design & Integration:

• Lead the deployment of enterprise and clinical engineering solutions that convert manual business processes into automated, validated systems.
• Architect, integrate, and validate complex application ecosystems, with primary accountability for Veeva Clinical Operations and related Veeva platforms.
• Ensure system designs meet performance, reliability, scalability, security, and regulatory requirements (e.g., GxP, Part 11).
• Translate product and business requirements into cohesive end-to-end system solutions across multiple platforms.
• Establish and enforce engineering standards, design patterns, and integration approaches.
• Partner with support teams to improve reliability, monitoring, and operational maturity.

Technical Leadership:

• Serve as the technical lead for cross-functional delivery teams, providing architectural direction and technical decision-making.
• Mentor and develop junior and senior engineers, promoting engineering excellence, best practices, and continuous improvement.

Analysis & Problem Solving:

• Perform functional, timeline, and trade-off analyses to evaluate solution options and recommend optimal approaches.
• Independently resolve highly complex technical issues requiring advanced judgment, creativity, and systems thinking.
• Balance cost, risk, supportability, and compliance in all technical decisions.

Program Management:

• Partner with Project and Program Managers to oversee the full solution lifecycle from requirements through implementation and post-go-live support.
• Coordinate internal and external technical resources, including vendors and platform partners.

Innovation & Development:

• Leverage Artificial Intelligence (AI) to enhance system capabilities, automate processes, and improve decision-making.
• Contribute to the development of innovative architectural patterns integrating AI into clinical and enterprise systems.
• Continuously identify opportunities to apply emerging technologies to improve efficiency, scalability, and data quality.

Required Qualifications:

• Bachelor's or Master's degree in Systems Engineering, Electrical Engineering, Computer Science, or a related field.
• Proven experience (10+ years) in systems engineering, with a track record of leading complex projects.
• Extensive knowledge of advanced engineering principles, theories, and concepts.
• Strong analytical and problem-solving skills with the ability to address complex challenges.
• Excellent leadership and communication skills, with experience mentoring and guiding teams.
• Proficiency in system design tools and methodologies.

Skills Required:

• Advanced application and systems engineering principles.
• Clinical research systems and regulated environments.
• Veeva platform architecture, configuration, and integration (required).
• Software development lifecycle (SDLC), validation, and compliance standards.
• Proficiency with Veeva Systems, particularly Veeva Clinical Operations (required) and Veeva Vault modules for document and regulatory management.
• Experience with clinical system interoperability and data exchange.
• Cloud platform experience (AWS, Azure, or GCP).
• Agile and DevOps delivery methodologies.
• Ability to manage multiple initiatives in a fast-paced environment.
• Strong collaboration skills within cross-functional technical teams.
• Solution and system architecture design.
• Complex system integration and troubleshooting.
• Technical leadership and mentoring.
• Stakeholder communication and influence.
• AI-enabled solution design and automation.

About Sarah Cannon Research Institute

Sarah Cannon Research Institute (SCRI) is one of the world's leading oncology research organizations conducting community-based clinical trials. Focused on advancing therapies for patients over the last three decades, SCRI is a leader in drug development. In 2022, SCRI formed a joint venture with former US Oncology Research to expand clinical trial access across the country. It has conducted more than 850 first-in-human clinical trials since its inception and contributed to pivotal research that has led to the majority of new cancer therapies approved by the FDA in the past decade. SCRI's research network brings together more than 1,300 physicians who are enrolling patients into clinical trials at more than 200 locations in 20+ states across the U.S.

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