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
Viz.ai is the leader in building and deploying AI-powered Care Pathways and helping doctors do their work. It was founded in 2016, and is headquartered in San Francisco, California, USA, with a workforce of 201-500 employees. Its website is http://www.viz.ai.