Clinical Data Scientist

🕒 6 days ago

🇺🇸 United States – Remote

💵 $129k - $145k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

🦅 H1B Visa Sponsor

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Viz.ai

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2016

🏥 Healthcare

🤖 Artificial Intelligence

☁️ SaaS

💰 Venture Round - Viz on 2023-12

Healthcare • Artificial Intelligence • SaaS

<Viz. ai> Viz. ai is an AI-driven healthcare software company that provides an enterprise care-coordination platform and clinical workflow tools powered by over 50 FDA-cleared algorithms. Its platform analyzes medical imaging (CT scans, EKGs, echocardiograms, etc. ) and other clinical data to auto-detect suspected diseases across neurology, cardiology, vascular, oncology, trauma, and radiology, delivering real-time alerts and automated assessments to accelerate diagnosis, streamline workflows, and improve patient outcomes. Viz. ai also partners with life sciences and medical device companies to build customized solutions and supports clinical research, deployment, and integration with cloud and hospital systems.

📋 Description

• Design and maintain version-controlled Python/SQL pipelines transforming raw EHR extracts into structured, EDC-ready datasets • Handle field mapping, unit harmonization, deduplication, and complex derivation logic • Reconcile disparate data models and adapt to site-specific EHR variability, mapping constraints, and schema changes • Apply LLM and NLP techniques to extract structured clinical variables from clinical notes, pathology reports, radiology reports, and discharge summaries • Validate extracted clinical data accuracy • Drive end-to-end data management for Evidence Generation studies from ingestion through cleaning, quality control, and data lock • Implement automated QC workflows for anomaly detection, field-mapping validation, query generation, and audit-trail checks • Build and maintain data dictionaries, EDC forms, and eCRF specifications • Maintain inspection-ready documentation, data provenance, and compliance throughout the dataset lifecycle • Partner with site IT/informatics and internal teams to develop feasible study data-capture plans • Author and maintain DMPs, SOPs, runbooks, and transformation/mapping specifications • Guide internal teams on process optimization and best practices for real-world health datasets • Collaborate with Israel-based engineering and AI teams on technical operations and pipeline development • Build and validate a raw-EHR-to-EDC pipeline for at least one care pathway within the first 90 days

🎯 Requirements

• 5+ years in clinical research, real-world evidence (RWE), or health informatics • Proven ownership of research database builds, including cleaning, QC, and data lock • Strong SQL and Python skills for automated ETL pipelines, transformations, and programmatic QC checks • Hands-on experience transforming raw EHR extracts (FHIR, HL7v2, or flat-file exports) into structured, EDC-ready datasets • Familiarity with clinical terminologies and coding systems, including ICD-10, CPT, LOINC, and RxNorm • Experience handling data model variations across different health systems • Experience writing and maintaining Data Management Plans (DMPs), SOPs, runbooks, and mapping specifications • Working knowledge of version control and reproducible-pipeline practices such as Git • Familiarity with LLM/NLP tools for extracting structured variables from unstructured clinical text • Familiarity with regulated-data requirements including GCP, 21 CFR Part 11, and HIPAA • Must be authorized to work in the US without requiring sponsorship, now or in the future • Preferred: Hands-on experience with REDCap, Castor, or Veeva • Preferred: Familiarity with OMOP CDM, CDISC SDTM/ADaM, or PCORnet • Preferred: Understanding of FHIR resource structure and EHR data export

🏖️ Benefits

• Equity • Performance-based bonuses • Medical insurance • Dental insurance • Vision insurance • 401(k) • Generous vacation • Additional benefits for full-time employees • Remote-first work arrangement • Flexible hybrid model for employees in Israel • Cibus meal allowance for employees in Israel • Meals at the office for employees in Israel