Research Data Analyst 2

University of California-San Diego
Posted on

Application Deadline



Researcher / analyst


The Department of Medicine is responsible for fulfilling the teaching, research, and clinical missions of the University of California, San Diego and employs 486+ full-time salaried faculty members and 100+ academic appointees. Staff personnel include 600+ staff in 9 bargaining units, students, and volunteers. There are 250 clinical faculty practicing at multiple sites and hospitals.

The Division of Infectious Diseases and Global Public Health (ID+GPH) within the Department of Medicine at UC San Diego aims to eliminate the burdens of infectious diseases and health disparities by delivering outstanding patient care, conducting world-class multidisciplinary health research, directing the institutional response to antimicrobial resistance, preventable healthcare associated infections, and emerging pathogens, and offering leadership, consultation and training on global public health, gender equity, microbiology, and infectious diseases topics.

Under the direction of the Principal Statistician, Research Data Analyst will provide statistical, bioinformatics, data management and report automation support for a multiple-investigator human immunodeficiency virus (HIV)-clinical and -translational research program.

The successful candidate is expected to have strong interest in and demonstrated aptitude for making statistical and analytical contributions to a diverse array of research and clinical projects in a vibrant research environment including, physicians, research scientists, statisticians and computer science professionals. Will be responsible for application of a broad range of statistical data analysis methods, including generalized linear and additive models, mixed effects models and other multivariate methods, network analysis techniques, Bayesian methods, power and sample size calculation, statistical methods for genomics and sequence analysis (including next generation sequencing platforms).

Major responsibilities will include statistical, quantitative and data analysis support for grant proposals and manuscript preparation; data analyses and automating report generation utilizing a centralized biomedical data management system with specific responsibilities for biostatistical/data management and research progress reporting needs of an HIV program project. Works on research data reporting assignments that are of moderate diversity in scope. Exercises judgment within generally defined practices and policies in selecting methods and techniques for obtaining solutions.


Graduation from college with a major in statistics or a related field and two (2) years of professional statistical experience; or an equivalent combination of education and experience. Master's Degree is preferred.

A minimum of two (2+) or more years of research data analysis experience. Demonstrated working knowledge of research function.

Proven working skills in analysis and consultation. Skills in statistical analysis, systems programming, database design and data security measures.

Demonstrated experience with statistical programming and use of statistical computer packages, including SAS and R.

Proficiency using Word, Excel, Power Point, and relational database concepts.

Familiarity with routine sample size and power calculation techniques.

Demonstrated skills to communicate complex information in a clear and concise manner both verbally and in writing.

Experience providing written interpretation of statistical methods and results, in a manner suitable for publication.

Theoretical knowledge of statistics, applied mathematics, or related field. Ability to read and understand the applied statistics literature. Experience to adapt existing methodology to new situations.

Working experience with statistical methods and models incorporating a broad range of study designs and traditional and modern statistical approaches such as linear, logistic, Poisson, survival and longitudinal models, multiple testing adjustment methods, and machine learning techniques.

Proven ability to read complex scientific literature, understand appropriate study design, formulate appropriate statistical hypotheses, and propose appropriate statistical methods.

Excellent time management skills. Skills in prioritizing multiple responsibilities and tasks. Excellent organizational skills.


Experience with clinical trial protocols.


Employment is subject to a criminal background check.

More Information

Posted on

Application Deadline



Researcher / analyst


La Jolla , United States