Senior Clinical Informatics Specialist – Hybrid

University of California- Davis Health; California; Hybrid; USD 100,000 - 198,000; Full time

Benefits offered by this job

Health plans

Retirement plans

Paid time off

Job summary

UC Davis Health seeks a Clinical Informatics Specialist to advance data products for the Emergency Medicine DSU. You will gather requirements, retrieve data from multiple sources, ensure data quality and build scalable analytics solutions.

The role involves semantic curation, data architecture and transformation, plus collaboration on strategic data initiatives and tools across clinical, operational, research, and academic domains.

Qualifications

• Bachelor's degree or equivalent in a health informatics related field.
• Minimum 8 years of experience analyzing and managing clinical data.
• Experience with cloud/data platforms for scalable analytics solutions.
• Experience with data ingestion, transformation and quality frameworks for reliable pipelines.
• Proficiency in SQL and Python for data workflows and modeling.
• Familiarity with BI tools (Tableau/Power BI) for reporting.
• Knowledge of healthcare data standards and source systems.

Responsibilities

• 60% data acquisition, curation and analysis across enterprise sources.
• 30% system design and maintenance of data platforms and pipelines.
• 10% business development and strategic data initiatives.

Skills

SQL

Python

Data transformation

Data modeling

Data quality

Statistical data validation

Communication

Version control

Cloud data platforms

Education

Bachelor's degree in Health Informatics / related field

Master's degree preferred

Tools

Databricks

Snowflake

AWS

Azure

Fivetran

dbt

Monte Carlo

Tableau

Power BI

Epic Clarity/Caboodle

OMOP

Dagster

Apache Airflow

Job description

UC Davis Health seeks a Clinical Informatics Specialist to advance data products for the Emergency Medicine DSU. You will gather requirements, retrieve data from multiple sources, ensure data quality and build scalable analytics solutions.

The role involves semantic curation, data architecture and transformation, plus collaboration on strategic data initiatives and tools across clinical, operational, research, and academic domains.