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Omop Data Analyst Jobs in California (NOW HIRING)

UCLA Health

Data Analyst

Los Angeles, CA · On-site

$9.0K - $20K/mo

... Data Systems Analyst plays a key role in supporting clinical research through data integration ... Previous experience with OMOP modelling. * Strong knowledge of Tableau dashboards * Previous ...

Karius

Senior Clinical Data Scientist

Redwood City, CA · On-site +1

... OMOP CDM, CDISC, HL7 FHIR, SNOMED CT, ICD-10, and LOINC. * Experience supporting biostatistics or data science teams with dataset preparation, variable derivation, and analysis-ready data delivery.

Karius

Senior Clinical Data Scientist

Redwood City, CA · On-site +1

... OMOP CDM, CDISC, HL7 FHIR, SNOMED CT, ICD-10, and LOINC. * Experience supporting biostatistics or data science teams with dataset preparation, variable derivation, and analysis-ready data delivery.

Karius

Senior Clinical Data Scientist

Redwood City, CA · On-site +1

... OMOP CDM, CDISC, HL7 FHIR, SNOMED CT, ICD-10, and LOINC. * Experience supporting biostatistics or data science teams with dataset preparation, variable derivation, and analysis-ready data delivery.

Karius

Senior Clinical Data Scientist

Redwood City, CA · On-site

$133.82 - $200.74/hr

Support broader clinical research data analytics across programs, including integrating datasets ... Familiarity with real‑world data standards including OMOP CDM, CDISC, HL7 FHIR, SNOMED CT ...

Tempus

Data Architect, Next Platform

Redwood City, CA · On-site +1

$150K - $200K/yr

Exceptional SQL skills for complex analytical environments and proficiency in Python for data ... Direct experience working with EHR, OMOP, DICOM, genomic data models, or longitudinal patient ...

Stanford University

Biostatistician 2

Stanford, CA · On-site

$115K - $134K/yr

... on data analysis projects, with a focus on bringing demonstrated expertise in electronic health ... with the OMOP common data model (either as a developer or a user) • Validating raw data and ...

Stanford University

Biostatistician 2

Stanford, CA

$115K - $134K/yr

... on data analysis projects, with a focus on bringing demonstrated expertise in electronic health ... OMOP common data model (either as a developer or a user) Validating raw data and assessing its ...

Stanford University

Research Engineer, GUIDE-AI

Stanford, CA · On-site

$240K/yr

Proficiency in Python and SQL, with hands-on experience in data analysis, statistical modeling, and ... OMOP) is strongly preferred. * (Preferred) Experience monitoring deployed AI tools, including ...

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Omop Data Analyst information

What are some common challenges faced by OMOP Data Analysts when standardizing disparate healthcare datasets?

OMOP Data Analysts often encounter challenges in mapping and harmonizing diverse healthcare data sources into the OMOP Common Data Model. Variations in coding systems, data quality, and completeness can make the standardization process complex and time-consuming. Analysts must work closely with clinical experts and data engineers to ensure accurate transformation and validation of data, while also addressing issues like missing values or inconsistent terminologies. Collaboration and attention to detail are essential to maintaining data integrity and supporting reliable downstream analyses.

What are the key skills and qualifications needed to thrive as an OMOP Data Analyst?

To thrive as an OMOP Data Analyst, you need expertise in data analysis, knowledge of the OMOP Common Data Model, and experience with SQL and healthcare data, often supported by a degree in data science, informatics, or a related field. Familiarity with ETL tools, data transformation processes, and analytics platforms like R or Python, as well as experience with OHDSI tools, is essential. Strong problem-solving, attention to detail, and effective communication skills help you interpret complex data and collaborate with multidisciplinary teams. These competencies are crucial to ensure accurate data standardization, actionable insights, and improved decision-making in healthcare research.

What is an OMOP Data Analyst?

OMOP Data Analysts are professionals who specialize in working with healthcare data standardized to the OMOP (Observational Medical Outcomes Partnership) Common Data Model. They analyze, transform, and interpret large datasets from various sources to support research, clinical studies, and healthcare decision-making. Their expertise helps ensure data quality, consistency, and compliance with the OMOP model, enabling meaningful comparisons and insights across disparate healthcare datasets.
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What job categories do people searching Omop Data Analyst jobs in California look for? The top searched job categories for Omop Data Analyst jobs in California are:
What cities in California are hiring for Omop Data Analyst jobs? Cities in California with the most Omop Data Analyst job openings:
Omop Data Analyst jobs near you
Infographic showing various Omop Data Analyst job openings in California as of August 2026, with employment types broken down into 66% Full Time, and 34% Contract. Highlights an 84% In-person, and 16% Remote job distribution.

Data Analyst

UCLA Health

Los Angeles, CA • On-site

$9.0K - $20K/mo

Full-time

Posted 7 days ago

UCLA Health rating

8.7

Company rating: 8.7 out of 10

Based on 137 frontline employees who took The Breakroom Quiz

6th of 887 rated healthcare providers

Job description

General Information
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Work Location: Los Angeles, CA, USA
Onsite or Remote
Flexible Hybrid
Work Schedule
Monday through Friday, 8am - 5pm
Posted Date
08/03/2026
Salary Range: $9075 - 20125 Monthly
Employment Type
2 - Staff: Career
Duration
Indefinite
Job #
32056
Primary Duties and Responsibilities
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Under the direction of the Director and Analytics Manager of the Clinical Research Information Systems (CRIS) team, the Data Systems Analyst plays a key role in supporting clinical research through data integration, analytics, and business intelligence solutions. The incumbent serves as a subject matter expert in modeling, aggregating, and delivering data from multiple sources, including the Cancer Registry, Clinical Research Management System (CRMS), and Electronic Health Record (EHR) systems.
This position supports a variety of clinical research workflows with a focus on data engineering, analytics, and business intelligence, transforming complex data into meaningful insights that support research operations and decision-making. Responsibilities include developing and maintaining reports and dashboards, fulfilling ad hoc data requests, and ensuring the timely delivery of accurate, actionable data to support UCLA Jonsson Comprehensive Cancer Center (JCCC) faculty and staff.
Salary: $9,075 - $20,125 monthly
Job Qualifications
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Required:
  • Bachelor's degree in computer science, or related field; supplemented with a minimum of 7 years of related work/project experience
  • Strong knowledge of ETL process and design/data modeling.
  • Previous experience with BI tools
  • Excellent verbal and written communication skills. Ability to work in a complex, matrix team environment; experience working in a team-oriented, collaborative environment.
  • Strong interpersonal and relationship-building skills, with the ability to communicate up, down and across levels of the organization
  • Experience organizing and managing detailed information. Strong analytical and problemresolution skills. Ability to handle multiple tasks, set priorities, schedule, and meet deadlines.

Preferred:
  • Previous experience with OMOP modelling.
  • Strong knowledge of Tableau dashboards
  • Previous experience working in clinical research is preferred
  • Previous experience extracting data out of OnCore
  • EPIC Clarity Certifications and/or experience extracting data from EPIC and Previous experience extracting data out of a Registry Systems (CNext)
  • Exposure to LLM-enabled or AI-driven data use cases

As a condition of employment, the final candidate who accepts an offer of employment will be required to disclose if they have been subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct; or have filed an appeal of a finding of substantiated misconduct with a previous employer.
Current/former UC employees are subject to a personnel file review.

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About UCLA Health

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UCLA Health, operating within the healthcare industry, is significantly recognized for its commitment to improving the health and wellbeing of people through the integration of patient care, research, and education. Located in Los Angeles, California, UCLA Health was founded and associated with the University of California, Los Angeles (UCLA) in 1955, entrenching its roots in quality healthcare service provision. Through a broad range of medical services, UCLA Health significantly stands as a cornerstone for comprehensive outpatient, inpatient, and emergency care services, specialized treatments, and wellness checks. Notable for pioneering an integrated, comprehensive medical approach, UCLA Health is consistently ranked among the top health systems in the US and world.

Industry

Health care and social assistance

Company size

10,000+ Employees

Headquarters location

Los Angeles, CA, US

Year founded

1955

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