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.

Requirements

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.

Benefits

medical
dental
vision
401(k)
generous vacation

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

SQLPythonRdata cleaningdata managementstatistical analysisdata transformationAPI integrationEHR data managementCDISC standards

Soft Skills

communicationcollaborationproblem-solvingattention to detailorganizational skillsadaptabilityproject managementtrainingchange managementanalytical thinking