Job
Description
Act as a Scientific Business Systems Analyst within a Scaled Agile Framework (SAFe) product team, bridging global research informatics and scientists. Manage custom internal platforms, commercial software (COTS), and systems integrations for in vivo study data management. Translate complex scientific and technical requirements into clear, actionable user stories and acceptance criteria, using tools like JIRA. Develop and maintain a product roadmap detailing features, timelines, and milestones. Identify and manage technological risks, scientific validation, and user acceptance challenges. Create documentation, communication, and training plans for end users. Ensure integration of scientific data operations in AI/ML capabilities for research. Maintain operational excellence, cybersecurity, and regulatory compliance. Collaborate effectively with globally dispersed teams across multiple locations. Require experience configuring and administering LIMS/ELN platforms (e.g., Benchling, STARLIMS) and building dashboards in Spotfire, Tableau, or Power BI. Preferred: 5+ years supporting biopharma scientific software, GxP data validation, cloud infrastructure (AWS), AI/ML in drug research, and SAFe Agile processes. Strong soft skills including communication, teamwork, initiative, multitasking, and presentation/public speaking abilities.
