Clinical Data Engineer

The posting, as Viz.ai wrote it

ABOUT VIZ.AI

Viz.ai is the leader in building and deploying AI-powered Care Pathways and helping doctors do their work. The Viz Platform is deployed in 2,000 hospitals across the United States and trusted by many of the leading life sciences companies. The platform uniquely combines real-time, multimodal clinical data with deep clinician engagement to detect disease earlier, coordinate care teams, and help ensure patients receive the right treatment faster. Viz.ai was the first company to be awarded CMS reimbursement for AI and is ranked the #1 Healthcare AI Platform by hospitals and health systems in the Black Book Research survey. For more information, visit Viz.ai.

ROLE OVERVIEW

Viz.ai http://Viz.ai’s AI-powered care coordination platform helps care teams get patients to the right treatment faster. Our Evidence Generation team shows, with rigorous real-world data, how that translates into better outcomes for patients, providers, health systems, and sponsors.

You will build the data foundation for that evidence. You’ll design automated pipelines that turn raw, messy EHR data into clean, audit-ready research datasets, and you’ll own the quality of those datasets from first ingest through data lock. If you like solving hard data-mapping problems and care that the answer is provably correct, this is a rare chance to do it where the results reach real patients.

KEY RESPONSIBILITIES

HEALTH DATA ENGINEERING & AUTOMATED PIPELINES

• Design and maintain version-controlled Python/SQL pipelines that transform raw EHR extracts (FHIR bundles, HL7v2 messages, flat files) into structured, EDC-ready datasets, handling field mapping, unit harmonization, deduplication, and complex derivation logic.
• Reconcile disparate data models, adapting to site-specific EHR variability, mapping constraints, and schema changes.
• Apply LLM and NLP techniques to extract structured clinical variables from unstructured sources (clinical notes, pathology and radiology reports, discharge summaries), and validate their accuracy.

CLINICAL DATA MANAGEMENT (CDM) & QUALITY CONTROL

• Drive end-to-end data management for Evidence Generation studies, spanning data ingestion, cleaning, quality control (QC), and data lock.
• Implement programmatic QC workflows to perform automated anomaly detection, field mapping validation, query generation, and audit trail checks, significantly reducing manual review burden.
• Build and maintain data dictionaries, EDC forms, and eCRF specifications that support standardized ingestion and downstream analytics.
• Ensure inspection-ready documentation, maintaining strict data provenance and compliance throughout the dataset lifecycle.

SITE STRATEGY, GOVERNANCE, & ENABLEMENT

• Partner with site IT/informatics and internal teams to navigate EHR system constraints and translate complex site data realities into feasible study data capture plans.
• Author and maintain foundational clinical governance documents, includ

[…]
in use, and data dictionaries and eCRFs are built (or updated) for active studies. An agreed SDV/QA approach is documented.

• By 90 days: A first raw-EHR-to-EDC pipeline is built and validated for at least one care pathway, with clear audit trails and reproducible outputs.

WHY SHOULD YOU JOIN US?

• If you are looking to make an impact, we are mission-driven and are making a difference in peoples’ lives every day.
• If you want to be a part of an amazing team , our people are the heart of everything we do.
• If you are a self-starter and naturally motivated, our work is driven by curiosity, innovation and team collaboration which allows us to leverage our skills immeasurably.

We are a remote-first company across the U.S. and EU, with a team in Tel Aviv operating in a flexible hybrid model, conveniently located near a train line.

Viz.ai http://Viz.ai is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided.

In the U.S., Viz offers competitive benefits, including medical, dental, vision, 401(k), generous vacation, and additional benefits to full-time employees. Viz.ai http://Viz.ai is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics, or any other basis prohibited by federal, state, or local law.

Employees in Israel are offered a comprehensive benefits package, including, among others: dental insurance, performance-based bonuses, a Cibus meal allowance, meals at the office, and more.

If you’re applying for a position in San Francisco, please review the San Francisco Fair Chance Ordinance guidelines https://www.sf.gov/information--fair-chance-ordinance applicable in your area.

#LI: GH1

#LI: remote