Statistical Analyst​/Programmer

Job Description

Special Instructions to Applicants:
This is a 1 year contract with the possibility of extension and/or conversion to a career appointment.

The Epidemiology department in the Fielding School of Public Health is a national leader in preparing a new generation of epidemiologists. Through specialized methodologies, epidemiologists identify, track, and analyze how diseases and other conditions are caused, transmitted, and prevented, as well as how they are distributed throughout the population. Such information plays a critical role in guiding policies and other evidence-based strategies to promote health and work toward health equity.

The vital importance of epidemiologic research was highlighted by the COVID-19 pandemic, in which epidemiologists have helped to track outbreaks and provide guidance on how the virus spreads in community settings.

The Seamans Lab in the Department of Epidemiology at UCLA’s Fielding School of Public Health is seeking a motivated and collaborative Statistical Analyst/Programmer to support cutting‑edge pharmacoepidemiologic research focused on drug safety and public health. Our work uses large‑scale healthcare data, such as administrative claims and electronic health records, to study medication use, safety, and outcomes in real‑world settings. The ideal candidate will have experience working with complex, longitudinal data;

knowledge of healthcare data structures and algorithms; and a strong foundation in statistics or biostatistics.

* UCLA provides a full pay range. Actual salary offers consider factors, including budget, prior experience, skills, knowledge, abilities, education, licensure and certifications, and other business considerations. Salary offers at the top of the range are not common. Visit to discover benefits that start on day one, and to calculate the total compensation value with benefits.

• Demonstrated experience with statistical analysis and programming for research. (Required)
• Experience in data management, cleaning, & linkage of large healthcare datasets. (Required)
• Experience working with administrative healthcare claims data (Medicare, Medicaid, commercial insurance datasets) is highly desirable. (Required)
• Fluency in data management and statistical programming languages (SAS, SQL, R, STATA, or Python). (Required)
• Solid understanding of pharmacoepidemiologic study designs and causal inference methods for observational data analysis. (Required)
• Familiarity with drug coding systems (NDC, ATC), diagnosis and procedure codes (ICD, CPT). (Required)
• Exceptional written and verbal communication skills for scientific reporting and collaboration. (Required)
• Knowledge of regulatory requirements and guidance for pharmacoepidemiology studies (e.g., FDA, EMA) is highly desirable. (Required)
• High motivation and ability to work independently. (Required)

• Bachelor’s Degree in Biostatistics, Statistics, Bioinformatics, Epidemiology, or related field (Required)
• Master’s Degree in Biostatistics, Statistics, Bioinformatics, Epidemiology, or related field (Preferred)
• PhD in Biostatistics, Statistics, Bioinformatics, Epidemiology, or related field (Preferred)

• Background Check:
  Continued employment is contingent upon the completion of a satisfactory background investigation.

Schedule:

8:00 a.m. to 5:00 p.m
Union/Policy Covered
99-Policy Covered
Complete Position Description.

University of California, Los Angeles