USDM Subject Matter Expert

Job Description: We are seeking a highly skilled Programmer and USDM (Unified Study Definitions Model) Subject Matter Expert to provide significant domain expertise, drive data mapping between standards, and help define data mapping processes. This role will be critical in supporting the design and implementation of processes that transform study protocols into USDM-compliant representations, enabling interoperability across CTMS, FHIR (both Verily’s FHIR model and other industry implementations) and sponsor systems. Key Responsibilities Protocol Ingestion & Transformation • Support the transformation of protocol data into USDM-compliant representations that can be consumed by pharma sponsors. • Ensure accurate mapping across CTMS, FHIR (Verily and industry), and sponsor systems. Sponsor-Ready Deliverables • Validate completeness and accuracy of USDM outputs against protocol source documents. Package and deliver USDM representations in formats directly usable by pharma companies. • Act as a subject matter expert in explaining how sponsor protocols map into USDM. Data Model Mapping • Lead efforts to map internal CTMS models → FHIR → USDM, ensuring interoperability. • Build robust pipelines that maintain traceability from PDF protocol → FHIR → USDM. • Define standards, templates, and validation checks to ensure consistency across studies. Standards & Process Leadership • Serve as the internal authority on USDM concepts (elements, metadata, best practices, processes). • Guide prioritization of protocol concepts most critical to sponsors and regulators. • Collaborate with Product, Engineering, and other cross-functional stakeholders to align protocol digitization workflows with regulatory and industry standards. Required Qualifications: • 5–7 years of experience in clinical data standards, data management, or programming within pharma/biotech/clinical research. • 2–3 years of hands-on experience with USDM / • • • MUST BE EXPERT LEVEL • • • • Hands-on experience with CTMS systems and FHIR standards, including data model mapping. • Practical experience in document parsing, text mining, or NLP/AI for unstructured data ingestion. • Strong communication skills, with ability to interface directly with pharma sponsors and explain technical mappings • Experience validating structured outputs against sponsor and regulatory requirements. • Knowledge of clinical data interoperability frameworks and submission standards. • Strong Expertise in CDISC standards (SDTM, ADaM) and regulatory expectations for protocol data. Preferred Qualifications: • Experience with protocol digitization initiatives in pharma/biotech/clinical research. • Strong programming background (Python, SQL, or equivalent) with experience in ETL pipelines and data transformations.