Business Analyst - Pharma R&D - Imaging

Coforge; San Francisco (CA); On-site; USD 110,000 - 150,000; Full time

Job summary

Talantir is seeking a Business Analyst with Pharma R&D imaging systems experience, focusing on requirements analysis, workflow definition, and validation documentation for image viewing, annotation, and ML-enabled imaging solutions used in regulated clinical and research environments.

You will bridge R&D scientists, data scientists, ML validation, quality, and IT to ensure business, clinical, and regulatory requirements are captured and traceable throughout the delivery lifecycle.

Qualifications

• Pharma R&D imaging experience is required.
• Experience with radiology and digital pathology workflows.
• Ability to document end-to-end requirements and non-functional needs.

Responsibilities

• Lead requirements gathering for image viewing and annotation platforms in Pharma R&D.
• Coordinate with scientists, ML validation specialists, QA, and IT to capture workflows.
• Define ingestion, labeling, validation, and downstream analytics requirements.
• Document as-is and to-be workflows, use cases, and functional specifications.
• Ensure alignment with GCP, FDA, and internal quality standards; maintain traceability.

Skills

Requirements analysis

Workflow definition

Regulatory compliance

Stakeholder liaison

Tools

DICOM

Digital pathology platforms

Job description

Role Overview

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

Job Description

• 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 GCP, FDA, and internal quality standards, without directly performing algorithm testing.
• Manage requirement changes and ensure traceability throughout the delivery and validation lifecycle.