[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.ResponsibilitiesConfigure/maintain EDC forms and eCRF specifications as needed to support ingestion and downstream analysis, focusing on scalability and standardizationOwn end-to-end Data Management for Evidence Generation studies: build, validate, and maintain research databases from ingest → cleaning → QC → data lockDevelop and run data cleaning workflows (queries, reconciliation, audit trails), and ensure inspection-ready documentationDesign and operate data model strategy for automated ingestion of EHR-level RWE into the EDCWork 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 managementTranslate EHR data realities into feasible study data capture and monitoring plansCreate and maintain DMPs, SAPs, SOPs, runbooks, and training materials that operationalize the above processes across care pathwaysPerform statistical analyses on cleaned datasets (descriptive, comparative, time-to-event where appropriate) and support evidence packages and reportingSkills5–7+ years in clinical research/RWE data management with hands-on database build + cleaning/QC ownershipSQL + Python (or R) for data transformation, QC checks, and reproducible pipelinesExperience 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/modelsExperience building/owning DMPs/SOPs/runbooks and maintaining audit-ready documentationFamiliarity with integrating leading AI techniques into your work productExperience with EDC platforms (Medidata Rave, REDCap, Castor, Veeva, etc.)CDISC familiarity (SDTM/ADaM) or strong equivalent standardization experienceStats experience in real-world/implementation studies (propensity methods, time-to-event, mixed models) — not required to be a PhD biostatisticianBenefitsOffers EquityOffers BonusMedicalDentalVision401(k)Generous vacationAdditional benefits to full-time employeesComprehensive benefits package, including, among others: dental insurance, performance-based bonuses, a Cibus meal allowance, meals at the office, and moreCompany OverviewViz.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.