Senior Health Tech Support Engineer & Data Ops

Health Data Innovations, Inc.; United States; Hybrid; USD 90,000 - 130,000; Full time

Job summary

Health Data Innovations, Inc. is seeking a hybrid support specialist to balance rapid Tier 1 responses with deep Tier 2 investigations. You will build dashboards, leverage investigation tooling, and deploy AI-assisted agents to autonomously resolve most tickets, reducing engineering and product dependencies.

You will investigate data discrepancies across EHR ingestion, HL7/FHIR interfaces, and trial data pipelines, driving root-cause analysis and continuous improvement in support processes.

Qualifications

• Bachelor's degree or equivalent in health informatics, life sciences, CS, or related field.
• 6-9 years in technical support, data ops, or client-facing tech role in health tech.
• Knowledge of clinical research ops: IRB, CRF, EDC, site workflows.
• Hands-on SQL to trace data flow and validate outputs.
• Familiarity with HL7 (SIU, ADT), FHIR, file-based ETL, interface monitoring.
• HIPAA compliance and handling PHI in tech context.
• Proficiency with Zendesk; configuration and reporting.

Responsibilities

• Triage inbound support tickets from research sites and sponsor teams via Zendesk.
• Investigate data discrepancies across EHR/interface pipelines to determine scope (site vs systemic).
• Develop internal tooling, dashboards, and AI-assisted agents to speed resolution.
• Collaborate with Engineering, Product, and Technical Services; produce clear root cause summaries.

Skills

SQL

Zendesk

Dashboards

Root cause analysis

Python

Education

Bachelor's degree or equivalent experience

Tools

HL7

FHIR

ETL

Job description

Health Data Innovations, Inc. is seeking a hybrid support specialist to balance rapid Tier 1 responses with deep Tier 2 investigations. You will build dashboards, leverage investigation tooling, and deploy AI-assisted agents to autonomously resolve most tickets, reducing engineering and product dependencies.

You will investigate data discrepancies across EHR ingestion, HL7/FHIR interfaces, and trial data pipelines, driving root-cause analysis and continuous improvement in support processes.