[Remote] Clinical Data Manager

Note: The job is a remote job and is open to candidates in USA. Viz.ai is the leader in building and deploying AI-powered Care Pathways and helping doctors do their work. They are seeking a Clinical Data Manager who will manage the data life-cycle for clinical research and quality improvement studies, focusing on building research databases and ensuring data integrity.

Responsibilities

• Configure/maintain EDC forms and eCRF specifications as needed to support ingestion and downstream analysis, focusing on scalability and standardization
• Own end-to-end Data Management for Evidence Generation studies: build, validate, and maintain research databases from ingest → cleaning → QC → data lock
• Develop and run data cleaning workflows (queries, reconciliation, audit trails), and ensure inspection-ready documentation
• Design and operate data model strategy for automated ingestion of EHR-level RWE into the EDC
• Work hands-on with APIs/integration endpoints and unify disparate data models (site/EHR variability, mapping logic, versioning, schema evolution)
• Partner with site IT/informatics and the Product team to understand EHR constraints, extract structures, and change management
• Translate EHR data realities into feasible study data capture and monitoring plans
• Create and maintain DMPs, SAPs, SOPs, runbooks, and training materials that operationalize the above processes across care pathways
• Perform statistical analyses on cleaned datasets (descriptive, comparative, time-to-event where appropriate) and support evidence packages and reporting

Skills

• 5–7+ years in clinical research/RWE data management with hands-on database build + cleaning/QC ownership
• SQL + Python (or R) for data transformation, QC checks, and reproducible pipelines
• Experience with EHR or EHR-derived datasets and understanding of common structures/coding systems (ICD-10, CPT, LOINC, RxNorm preferred)
• Practical familiarity with API-based ingestion and integrating multiple data sources/models
• Experience building/owning DMPs/SOPs/runbooks and maintaining audit-ready documentation
• Familiarity with integrating leading AI techniques into your work product
• Experience with EDC platforms (Medidata Rave, REDCap, Castor, Veeva, etc.)
• CDISC familiarity (SDTM/ADaM) or strong equivalent standardization experience
• Stats experience in real-world/implementation studies (propensity methods, time-to-event, mixed models) — not required to be a PhD biostatistician

Benefits

• Offers Equity
• Offers Bonus
• Medical
• Dental
• Vision
• 401(k)
• Generous vacation
• Additional benefits to full-time employees
• Comprehensive benefits package, including, among others: dental insurance, performance-based bonuses, a Cibus meal allowance, meals at the office, and more

Company Overview