Clinical Data Scientist

Viz.ai

. Configure and maintain EDC forms and eCRF specifications for ingestion and downstream analysis .

Posted 10/9/2026full-timeRemote • United StatesMid-LevelSenior💰 $129,000 - $145,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in clinical research data management, including EHR data transformation and database maintenance. Proficient in SQL and Python for building reproducible data pipelines and ensuring data quality through rigorous cleaning and QC processes.

Highest-signal resume keywords

SQL Data TransformationPython ProgrammingEHR Data ManagementDMP and SOP DevelopmentStatistical Analysis

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data CleaningETL Pipeline DevelopmentData ValidationVersion ControlData ModelingStatistical AnalysisData ProfilingData TransformationAPI IntegrationAudit-Ready Documentation

Soft Skills

CollaborationTrainingStakeholder Engagement

Tools & Technologies

Medidata RaveREDCapCastorVeevaAWS Data WarehousesGit

Industry Keywords

Clinical ResearchReal-World EvidenceICD-10CPTLOINCCDISCFHIRHL7v2Data GovernanceData Quality

Tech Stack

Tools & technologies

AWSETLPythonSQL

About the role

Key responsibilities & impact

Configure and maintain EDC forms and eCRF specifications for ingestion and downstream analysis
Own end-to-end data management for Evidence Generation studies from ingestion through cleaning, QC, and data lock
Build, validate, and maintain research databases
Develop and run data-cleaning workflows, including queries, reconciliation, and audit trails
Pull, parse, and profile EHR data pulls from FHIR bundles, HL7v2 messages, and flat-file/CSV extracts
Build Python/SQL transformation pipelines that clean, standardize, and reshape raw EHR extracts into validated EDC-ready datasets
Implement field mapping, unit harmonization, deduplication, and derivation logic
Maintain repeatable, version-controlled transformation code
Design and operate data models for automated EHR-to-EDC ingestion
Work with APIs/integration endpoints and unify disparate data models
Partner with site IT/informatics and Product teams on EHR constraints, extract structures, and change management
Translate EHR data realities into study data capture and monitoring plans
Create and maintain DMPs, SAPs, SOPs, runbooks, transformation/mapping specifications, and training materials
Perform descriptive, comparative, and time-to-event statistical analyses
Apply data-science techniques to derive features/cohorts, conduct exploratory analysis, and score data quality
Collaborate with stakeholders and train teammates through SOPs, runbooks, and templates
Improve EHR-to-Viz-to-EDC auto-import pipelines and support sponsor-ready reporting

Requirements

What you’ll need

5–7+ years in clinical research/RWE data management with hands-on database build and cleaning/QC ownership
SQL and Python (or R) for data transformation, ETL pipeline development, QC checks, and reproducible pipelines
Hands-on experience transforming raw EHR extracts (FHIR, HL7v2, or flat-file exports) into structured, analysis/EDC-ready datasets
Experience with EHR or EHR-derived datasets
Understanding of ICD-10, CPT, and LOINC; RxNorm preferred
Familiarity with API-based ingestion and integrating multiple data sources/models
Experience building/owning DMPs, SOPs, and runbooks
Audit-ready documentation experience
Working knowledge of version control and reproducible-pipeline practices, such as Git
Familiarity with integrating leading AI techniques into work products
Experience with EDC platforms such as Medidata Rave, REDCap, Castor, or Veeva preferred
CDISC familiarity (SDTM/ADaM) or equivalent standardization experience preferred
Statistical experience in real-world/implementation studies preferred
Experience with pipeline orchestration/data engineering tooling and AWS data warehouses preferred
Ability to work in the United States without requiring sponsorship, now or in the future

Benefits

Comp & perks

Equity
Performance-based bonus
Medical insurance
Dental insurance
Vision insurance
401(k)
Generous vacation
Additional benefits for full-time employees
Flexible remote work arrangement