Sr. Research Systems Analyst

ABOUT FLAGSHIP PIONEERING

Flagship Pioneering is a life sciences innovation enterprise that invents and builds transformative companies. Since its founding in 2000, Flagship has originated more than 100 ventures, including Moderna, and has deployed over $4 billion toward scientific discovery. Our Scientific Cloud team is the connective tissue that powers data and technology infrastructure across Flagship's growing portfolio of companies.

About Scientific Cloud: Scientific Cloud is Flagship Pioneering's portfolio-facing IT organization, responsible for the cloud engineering, data and informatics engineering, research systems, lab systems, and vendor management capabilities that power Flagship's emerging companies. The team operates with a portfolio-first orientation — building durable, shared infrastructure that individual ventures can rely on at every stage of company formation and growth.

THE POSITION

The Senior Research Systems Analyst is a key member of the Scientific Cloud team, managing and optimizing the digital platforms that power scientific research and data management across Pioneering Medicines and Flagship Labs companies. This role is primarily responsible for administering and configuring core research platforms such as Benchling, CDD Vault, Quilt, AWS, Code Ocean, Seqera, etc., translating stakeholder requirements into system configurations, troubleshooting issues, and standing up these systems for Flagship's emerging companies. A meaningful part of the role involves staying current on the AI features available within these platforms and providing researchers with practical use cases and recommendations for using them well. The successful candidate brings hands-on platform expertise, structured thinking, and the ability to translate complex capabilities into practical enablement resources for bench scientists and data consumers alike.

CORE RESPONSIBILITIES

Research Systems Administration & Support

Administer and optimize core research systems including ELN, LIMS, data management platforms, and other scientific tools including Benchling, CDD Vault, Quilt, AWS, Code Ocean, and Seqera, ensuring reliability, performance, and user satisfaction.Collaborate with stakeholders to gather, document, and translate requirements for R&D applications into actionable system configurations and enhancements.Provide Tier 2/3 technical support and troubleshooting for research, scientific, and data management systems, serving as an escalation point for complex issues.Monitor system performance, coordinate with IT infrastructure teams on uptime and capacity, and manage vendor relationships for supported platforms.

Implementation & Portfolio Company Onboarding

Partner directly with Flagship Labs and Pioneering Medicines startups to stand up and configure core research systems, ensuring new companies are up and running quickly on platforms suited to their research needs.Implement system configurations, data structures, and integrations tailored to each company's stage and scientific priorities.Train startup teams on platform best practices and workflows so they can operate independently from day one.Proactively identify opportunities for future integrations and platform enhancements as portfolio companies grow and their needs evolve.

AI Features & Usage

Maintain working knowledge of the AI features available within core research platforms, and stay current as new capabilities are released.Develop practical use cases and recommendations that help researchers and portfolio companies get the most value out of each platform's AI features.Advise on when a platform's native AI features are sufficient versus when a deeper integration may be worth pursuing.

Training, Documentation & User Enablement

• Create high-quality user documentation, training materials, and quick-reference guides for research systems.
• Design and deliver training sessions and onboarding programs that drive system adoption and empower researchers to work effectively with digital tools.
• Develop and maintain a knowledge base that captures best practices, FAQs, and enablement resources for research systems across Pioneering Medicines and Flagship Labs companies.

Continuous Improvement & Innovation

• Stay current with developments in laboratory informatics and cloud-native data management relevant to life sciences research platforms.
• Proactively identify opportunities to improve system usability, data quality, and researcher productivity, and contribute to roadmap planning discussions.