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Business Systems Analyst, Scientific Systems

RA Capital Management - Boston, MA, United States - Hybrid - posted 2026-10-23

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Salary: USD 90,000 - 150,000 / annual

RA Capital Management, a leading venture capital and investment firm with $10B+ under management, is seeking a Business Systems Analyst to support its Raven and Venture teams. You will report to the Technology Business Partner and work at the intersection of science, operations, and technology. In this hands-on role, you will partner with scientists, company builders, and business stakeholders to translate research and operational workflows into practical technology solutions. You will own projects from discovery through deployment and ongoing support, combining business analysis, scientific platform administration, and software implementation. Key responsibilities include: - Mapping current and future workflows with scientists and stakeholders; gathering requirements and translating them into user stories, acceptance criteria, and technical specifications - Administering business and scientific systems, particularly CDD Vault (LIMS/ELN), managing configurations, permissions, templates, and access - Configuring and maintaining registration tables and workflows for compound registration, sample management, and reagent management - Developing and maintaining scripts and API integrations to connect systems and automate workflows; using SQL to query and validate data - Deploying and managing Notion Teamspaces, project templates, and integrations supporting venture projects - Using AI-assisted development tools to accelerate delivery while independently reviewing, testing, and validating generated code - Supporting vendor evaluation and implementation; coordinating technical partners and troubleshooting issues - Planning and conducting system and user acceptance testing; maintaining documentation and training users through rollout - Managing smaller projects and workstreams, communicating scope, milestones, dependencies, and risks You will work on a hybrid schedule in the Boston office and collaborate daily with investors, founders, scientists, engineers, and business leaders who think in systems and act with urgency. Requirements: - Bachelor's degree in biology, chemistry, bioengineering, computer science, or related scientific/technical field - 2–5 years of experience in solutions engineering, scientific software implementation, business systems analysis, or related role, ideally with a life sciences software provider or biotech organization - Hands-on experience supporting, configuring, and administering scientific or clinical data management platforms (LIMS, Electronic Data Capture, etc.) in life sciences, biotech, or health tech - Practical programming experience: ability to independently read, write, debug, test, and validate code; experience with REST APIs - Foundational SQL skills including joins, parameterized queries, and data validation - Ability to evaluate and troubleshoot AI-generated code using independent programming knowledge and judgment - Experience working directly with scientific/clinical users to learn research workflows and translate needs into technical solutions - Strong requirements-gathering, process mapping, and documentation skills with close attention to detail - Clear communication with technical and non-technical colleagues; sound judgment and willingness to collaborate when requirements are uncertain - Must be authorized to work in the United States without sponsorship; no visa sponsorship available Preferred qualifications: - Direct administration or implementation experience with CDD Vault, Benchling, Revvity Signals, or similar scientific platforms - Experience implementing software across multiple customers, research teams, or organizations - Experience configuring Notion workspaces, teamspaces, templates, integrations, and automations - Experience with AI-assisted development tools such as Claude Code or Codex - Working knowledge of data platforms or cloud environments (Databricks, Snowflake, AWS, GCP) - Familiarity with Confluence, Smartsheet, Jira, or Agile methodologies

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