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Job Title: Business Analyst with experience in Pharma R&D imaging systems
Location: San Francisco, CA
Job Mode: Hybrid 3 days a week Onsite must
Shift: General
Business Analyst with experience in Pharma R&D imaging systems, including radiology (DICOM) and digital pathology (non DICOM) platforms. The role focuses on requirements analysis, workflow definition, and validation documentation for image viewing, annotation, and ML enabled imaging solutions used in regulated clinical and research environments.
The Business Analyst acts as a bridge between R&D scientists, data scientists, ML validation specialists, quality teams, and IT, ensuring that business, clinical, and regulatory requirements
Imaging Platform & Business Requirements
Job Title: Business Analyst with experience in Pharma R&D imaging systems
Location: San Francisco, CA
Job Mode: Hybrid 3 days a week Onsite must
Shift: General
Business Analyst with experience in Pharma R&D imaging systems, including radiology (DICOM) and digital pathology (non DICOM) platforms. The role focuses on requirements analysis, workflow definition, and validation documentation for image viewing, annotation, and ML enabled imaging solutions used in regulated clinical and research environments.
The Business Analyst acts as a bridge between R&D scientists, data scientists, ML validation specialists, quality teams, and IT, ensuring that business, clinical, and regulatory requirements
Imaging Platform & Business Requirements
- Lead business and functional requirements gathering for radiology and digital pathology image viewing and annotation platforms used in Pharma R&D.
- Engage with R&D scientists, clinical operations, imaging SMEs, and CROs to understand workflows for image ingestion, review, labeling, and annotation.
- Define end to end requirements for image ingestion, data quality checks, metadata harmonization, viewing, annotation, and downstream analytics.
- Document as is / to be workflows, use cases, functional specifications, and non functional requirements (performance, usability, scalability, compliance).
- Work with Data Scientists and ML Validation Specialists to document business and clinical requirements for ML algorithms applied to imaging data with intended use of ML models in radiology and digital pathology workflows
- Ensure ML requirements align with Google Cloud Platform, FDA, and internal quality standards, without directly performing algorithm testing.
- Manage requirement changes and ensure traceability throughout the delivery and validation lifecycle.
- Prior experience working with Pharma companies or CROs on imaging or R&D data platforms.
- Strong documentation, communication, and cross functional stakeholder management skills.