New

Clinical Informatics Specialist 4

University of California - Los Angeles Health

United States, California, Los Angeles

Jul 29, 2026

Description

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: $110,977.20-$246,216.96

Qualifications

Required:

Master's degree (PhD preferred) In Biostatistics, Statistics, Bioinformatics, Epidemiology, or related field.
5 Years demonstrated experience with statistical analysis and programming for research.
5 Years minimally 5+ years of experience programming in a health care environment; 10+ years preferred.
Demonstrated experience working with administrative health care claims data including data management, cleaning, transformation, and linkage of large healthcare datasets (e.g., Medicare, Medicaid, commercial insurance datasets). (Required)
Advanced understanding of pharmacoepidemiologic study designs and causal inference methods for observational data analysis. (Required)
Advanced proficiency in data management and statistical programming languages (SAS, SQL, R, STATA, or Python) (Required)
Deep familiarity with drug coding systems (NDC, ATC), diagnosis and procedure codes (ICD, CPT). (Required)
Exceptional written and verbal communications skills for scientific reporting and collaboration. (Required)
High motivation and ability to work independently. (Required)
Attention to detail. (Required)
Ability to manage and prioritize multiple projects. (Required)
Ability to work effectively as a member of a multidisciplinary research team. (Required)
Ability to collaborate effectively with other programmers/analysts working with other programming languages. (Required)
Advanced proficiency in designing and developing automation of statistical programs to streamline workflows. (Required)
Advanced proficiency in data transformation and conversion in administrative health care claims databases. (Required)

Preferred:

Doctor of Medicine (MD), Clinical background (e.g., MD, PharmD)