Senior Research Systems Architect: Cloud Lab Data & AI

Flagship Pioneering, Inc.

Cambridge (MA)

On-site

USD 108,000 - 148,000

Full time

6 days ago

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Benefits offered by this job

Healthcare coverage

Annual incentive program

Retirement benefits

Broad range of benefits

Job summary

Flagship Pioneering is seeking a Senior Research Systems Analyst to manage and optimize digital platforms powering scientific research across Pioneering Medicines and Flagship Labs. You will administer core systems like Benchling, CDD Vault, Quilt, AWS, Code Ocean, and Seqera, translating requirements into configurations and providing expert support.

You will onboard portfolio companies, tailor data structures, train teams, and identify opportunities for platform enhancements while staying

Qualifications

Bachelor's degree in Information Technology, Computer Science, Bioinformatics, or a life sciences-related field.
At least 5 years of experience supporting, configuring, or administering laboratory or data management systems within the life sciences industry.
Hands-on experience with one or more core research platforms (Benchling, CDD Vault, Quilt, AWS, Code Ocean, Seqera, or similar ELN/LIMS/data management tools).
Familiarity with AI/ML concepts and an interest in how AI features are being embedded into enterprise research platforms.
Demonstrated ability to create clear technical documentation, training materials, and user-facing guidance for diverse audiences.
Strong analytical and problem-solving skills, with the ability to assess platform capabilities and translate them into actionable recommendations.
Excellent communication skills with the ability to convey complex technical concepts to non-technical stakeholders.
Proven ability to manage multiple concurrent priorities in a fast-paced, science-driven environment.

Responsibilities

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.
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.
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.
Stay current with AI features and provide practical use cases to researchers and portfolio companies.