Clinical Informatics Specialist

UCLA Health

Los Angeles (CA)

Hybrid

USD 95,000 - 219,000

Full time

14 days+

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Job summary

UCLA Health in Los Angeles seeks a Clinical Informatics Specialist to join the Program in Pharmacoepidemiology within the Division of General Internal Medicine. This role focuses on analyzing large healthcare datasets, leveraging real-world data to improve patient care and inform healthcare decision-making.

The ideal candidate has strong programming skills (SAS, SQL, R, STATA, Python) and experience with health care claims data, collaborating with clinicians, epidemiologists, and researchers to

Qualifications

  • Master’s degree (PhD preferred) in Biostatistics, Statistics, Bioinformatics, Epidemiology, or related field.
  • Experience with administrative health care claims data required, i.e., data management, cleaning, and linkage of large healthcare datasets
  • Proficient in data management and statistical programming languages (SAS, SQL, R, STATA, or Python)
  • Solid understanding of pharmacoepidemiologic study designs and causal inference methods for observational data analysis
  • Familiarity with drug coding systems (NDC, ATC), diagnosis and procedure codes (ICD, CPT)
  • Exceptional written and verbal communications skills for scientific reporting and collaboration
  • 3 years demonstrated experience with statistical analysis and programming for research
  • Ability to work effectively as a member of a multidisciplinary research team
  • Ability to collaborate effectively with other programmers/analysts working with other programming languages
  • More than 5yrs of experience with programming in a health care environment preferred.

Responsibilities

  • Manage and analyze large healthcare datasets and develop analytic files for observational research.
  • Support advanced statistical analyses and collaborate with clinicians, epidemiologists, biostatisticians, and researchers.
  • Contribute to evidence generation that informs healthcare policy and clinical practice.

Skills

SAS
SQL
R
Python
Data Management
Statistical Programming

Education

Master’s degree (PhD preferred) in Biostatistics/ Epidemiology

Tools

STATA

Job description

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Onsite or Remote


Flexible Hybrid


Work Schedule


Monday-Friday, 8:00am-5:00pm


Posted Date


05/14/2026


Salary Range: $100161.36 - 218718 Annually


Employment Type


Duration


Indefinite


Job #


30632


Primary Duties and Responsibilities

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The Department of Medicine is seeking a highly motivated and collaborative Clinical Informatics Specialist to join the Program in Pharmacoepidemiology within the Division of General Internal Medicine. This exciting opportunity offers the chance to contribute to innovative, high-impact research focused on medication safety, effectiveness, and healthcare outcomes using large-scale healthcare claims and electronic health record data.


The ideal candidate will bring strong analytical and programming skills, experience working with complex healthcare datasets, and a passion for leveraging real-world data to improve patient care and inform healthcare decision-making. Responsibilities include managing and analyzing large datasets, developing analytic files for observational research studies, supporting advanced statistical analyses, and collaborating closely with multidisciplinary teams of clinicians, epidemiologists, biostatisticians, and researchers to generate evidence that shapes healthcare policy, regulatory decisions, and clinical practice.


Annual range: $95,400-$208,300


Job Qualifications

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Required:



  • Master’s degree (PhD preferred) In Biostatistics, Statistics, Bioinformatics, Epidemiology, or related field.

  • Experience with administrative health care claims data required, i.e., data management, cleaning, and linkage of large healthcare datasets (e.g., Medicare, Medicaid, commercial insurance datasets)

  • Highly proficient in data management and statistical programming languages (SAS, SQL, R, STATA, or Python)

  • Solid understanding of pharmacoepidemiologic study designs and causal inference methods for observational data analysis

  • Familiarity with drug coding systems (NDC, ATC), diagnosis and procedure codes (ICD, CPT)

  • Exceptional written and verbal communications skills for scientific reporting and collaboration

  • 3 years demonstrated experience with statistical analysis and programming for research. At least three years of experience required.

  • Ability to work effectively as a member of a multidisciplinary research team

  • Ability to collaborate effectively with other programmers/analysts working with other programming languages


Preferred:



  • More than 5yrs of experience with programming in a health care environment preferred.


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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