Sr. Research Systems Analyst

Role: Senior Research Systems Analyst managing and optimizing scientific research platforms within Flagship Pioneering's Scientific Cloud team. Key objectives include administering core systems like Benchling, CDD Vault, Quilt, AWS, Code Ocean, and Seqera, supporting research workflows, and onboarding portfolio startups. Responsibilities encompass system configuration, troubleshooting, stakeholder collaboration, and integrating AI features into platforms to enhance research capabilities. The role involves developing user documentation, delivering training, and driving continuous improvements aligned with evolving scientific and technological needs. Qualifications: Bachelor’s in IT, Computer Science, Bioinformatics, or related field; at least 5 years supporting laboratory or data management systems in life sciences; hands-on experience with research platforms; familiarity with AI/ML concepts; strong communication and problem-solving skills. Preferred: knowledge of prompt engineering, scientific programming (Python, SQL), cloud data platforms (AWS S3, Glue, Athena), and biotech industry experience. HighValue: Focus on biotech/pharma research tools, cloud-native data management, AI integration, and supporting innovative ventures across preclinical to early clinical stages. Work setup: Role specifics not detailed, but involves cross-functional collaboration across research and IT teams.