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ClosedPosted 11 days ago

SR Business Analyst

Catalyx23 open roles

Where
Spring House, Pennsylvania, United States

This posting closed on 2026-10-23. 23 other Catalyx postings are live.

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Still open, like this oneLive
  1. PCS Hardware Engineer21h agoCatalyx · Frederick, Maryland, United States
  2. Ingénieur(e) principal(e) de procedes3d agoCatalyx · Montreal North South, Quebec, Canada
  3. Technical Service Engineer3d agoCatalyx · Newtown, Pennsylvania, United States
  4. Senior Financial Accountant3d agoCatalyx · Newtown, Pennsylvania, United States

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The clock on this job

Early applications get read.

12.1% of postings close within 7 days. Measured by our own scanner across the market. Catalyx postings stay open a median of 2 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.1%7 days
  4. 19.1%14 days
  5. 35.6%30 days
  6. 52.7%60 days
This job: posted 11 days ago

Catalyx median: 2 days open

The posting

Catalyx is seeking a Senior Business Analyst will lead requirements definition and support the integration of IT systems, data platforms, and AI technologies within a complex project environment. This role will work closely with project teams and system integrators to ensure technical solutions align with business needs, system architecture, and integration requirements. Key Responsibilities · Define and document requirements for network architecture and segmentation, LIMS/SDMS/ELN platforms, the Scientific Layer, Digital Twin capabilities, AI/ML use cases, and AI integration frameworks. · Review system integrator deliverables, including interface documents, functional specifications, and system configurations. · Collaborate with IT, data, and technical stakeholders to ensure alignment across systems, interfaces, and integration solutions. · Serve as the primary point of contact for system integrators on IT systems, coordinating requirements, resolving issues, and supporting integration activities. Requirements · Significant experience in business analysis, IT systems integration, and technical requirements management. · Familiarity with network architecture, data platforms, and laboratory systems such as LIMS, SDMS, and ELN. · Understanding of AI/ML applications, digital twin technologies, and enterprise AI integration frameworks. · Ability to review technical specifications, interface documentation, and system configurations. · Strong communication, stakeholder management, and problem-solving skills. · Experience supporting complex technical projects within regulated or life sciences environments is preferred.

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