Sr. Business Systems Analyst

New
Based in United StatesFull-TimeSenior
Salary not disclosed
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Job Details

Experience
5+ years
Required Skills
AgileJiraConfluenceGenerative AIHIPAA

Requirements

  • Bachelor’s degree in Life Sciences, Biomedical Engineering, Computer Science, Business, or related field (Master’s preferred)
  • 5+ years of experience in product management or business systems analysis within healthcare or life sciences technology
  • Experience with digital pathology (IMS/WSI), radiology systems (PACS/RIS), or laboratory information systems (LIMS)
  • Strong understanding of AI/ML-driven workflow design, including human-in-the-loop systems
  • Experience working in Agile environments using tools such as Jira and Confluence
  • Knowledge of healthcare regulatory frameworks including CLIA, CAP, and HIPAA
  • Ability to translate complex clinical workflows into structured system and product requirements
  • Strong analytical skills with ability to use data to define KPIs and guide decision-making
  • Clinical empathy and understanding of high-pressure diagnostic environments
  • Excellent communication and collaboration skills across technical and non-technical stakeholders

Responsibilities

  • Define and evolve internal generative AI and digital pathology workflow systems, ensuring alignment with clinical and operational goals
  • Partner with pathologists, medical directors, and innovation teams to identify workflow inefficiencies and automation opportunities
  • Translate clinical and operational requirements into detailed user stories, technical specifications, and prioritized engineering backlogs
  • Lead the design and rollout of AI-assisted tools such as case triage, reporting support, and quality control automation
  • Collaborate with QA, regulatory, and compliance teams to ensure systems meet CLIA, CAP, HIPAA, and related standards
  • Define and track product KPIs such as turnaround time reduction, adoption rates, and diagnostic accuracy improvements
  • Support continuous improvement of AI-powered workflows through data-driven insights and user feedback loops
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