Description
UCLA HEALTH
To apply for this position please CLICK HERE
Description
The UCLA/CHLA Clinical Coordinating Center for the ARIA
IMPACT Network is seeking a Statistician (Research Data Analyst 2) to support
the IMPACT Longitudinal Natural History Study, a multi-site federally funded
study enrolling 1,400+ participants across 12 research centers nationwide. The
position is responsible for designing and maintaining study databases,
monitoring data quality across sites, producing statistical analyses and
dashboards for milestone reporting and regulatory submissions, and supporting
IRB and compliance documentation including SOPs, validation trackers, and query
management. The role works closely with the Program Manager and senior
scientific staff in a fast-moving, multi-site research environment. This is an
opportunity to contribute to work that is directly shaping clinical trial
readiness for individuals with profound autism and related neurodevelopmental
disorders.
This is a limited position that may convert to career.
Salary Range: $33.96 – $69.54 Hourly
Qualifications
All Required:
- Bachelor’s degree in Statistics/Computer
Science/Bioinformatics/Data Specification/ Data Science/Computational or
equivalent combination of education and experience. - 1-2 years of experience in Statistics/Computer
Science/Bioinformatics/Data Specification/ Data Science. - Knowledge of basic and multivariate statistics.
- Knowledge of research design.
- Competency in statistical software applications (e.g., R,
SAS, STATA). - Ability to conceptualize and construct tables and
graphs. - Working knowledge of statistical and/or medical
terminology. - Ability to summarize statistical analyses for
collaborators. - Knowledge of statistical techniques.
- Ability to utilize database management software to run
queries and extract data. - Ability to construct databases.
- Ability to produce visual tools and dashboards that
highlight the essential information - from a project or study.
- Knowledge of basic office software and applications (e.g.,
Microsoft Office Suite, Google, Internet search engines, etc.). - Ability to learn new statistical techniques and to adapt
existing code to customize statistical analysis strategies.