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This role is responsible for advanced data construction, management, cleaning, and statistical analysis across large and complex datasets, including UCLA and VA electronic health records (EHR), Medicare data, and other clinical databases. The position collaborates closely with faculty and staff on data quality control, statistical modeling, and the design of study databases. The incumbent will conduct statistical analyses, develop high quality graphical and tabular summaries of results, and contribute to data driven insights that support research goals.
Salary: $33.96 - $69.54 hourly
Qualifications
Required:
Bachelor's Degree in Statistics / Computer Science / Bioinformatics / Data Specification / Data Science / Computational and/or equivalent combination of education and experience.
Knowledge of basic and multivariable statistics.
Experience with a range of statistical modeling (e.g., hierarchical/multilevel modeling, GLM and GEE modeling, two-stage models, survival models).
Experience with causal inference approaches such as instrumental variable models, propensity-score methods, difference-in-difference designs, regression discontinuity, G-estimation.
Experience with economic models.
Knowledge of research design.
Competency in statistical software applications (e.g., STATA, R, SAS).
Experience with database management via SQL to run queries and extract data.
Ability to conceptualize and construct tables and graphs.
Working knowledge of statistical terminology.
Ability to summarize statistical analyses for collaborators.
Ability to manage and merge large dataset and datatables from different sources to develop analytic datasets as a single file.
Ability to produce visual tools that highlight the essential information from a project or study.
Ability to learn new statistical techniques and to adapt existing code to customize statistical analysis strategies.
Preferred:
Master’s degree or higher in Biostatistics/Statistics/Computer Science or related field
2 years experience in Statistics/Computer Science/Bioinformatics/Data Specification/ Data Science.
Competence with Python for database management and statistical analyses.
Experience with using Jupyter notebook
Experience with regular expression natural language processing via Python
Experience with machine learning models (e.g. regularization regression, random forests, ensemble methods)
At UCLA Health, you can help heal humankind, one patient at a time by improving health, alleviating suffering and delivering acts of kindness. As you do, you’ll achieve great things in your life and your career. We’re a world-class health organization with four hospitals consistently recognized among the nation’s very best as well as an internationally-renowned medical school, primary and specialty care clinics and much more. Within our dynamic, innovative and growing organization, you’ll find exceptional opportunities to make the most of your abilities in a supportive, empowering and inclusive environment. If you embrace our values of Integrity, Compassion, Respect, Teamwork, Excellence and Discovery we invite you to see all you can accomplish at UCLA Health.
