Description This role is responsible for the construction, management, and statistical analysis of research data in a systems immunology laboratory. Working closely with faculty and staff, the incumbent will oversee data quality control, statistical modeling, ensuring the integrity and accuracy of all research data. The position requires a high level of independence, as you will collaborate with research teams to provide customized statistical analyses, craft statistical sections for manuscripts and grant proposals, and summarize key findings in a clear and actionable manner. With a focus on delivering precise and meaningful insights, this role is essential to advancing research projects and contributing to the success of scholarly publications and funding applications. Ideally, a candidate would have extensive experience with python and R, experience with machine learning modeling (PLS-DA/PLS-R, Neural Networks, Random Forest, etc.), next-generation sequencing data handling and analysis, bachelors-level biology and immunology background is a plus, and will be expected to stay current with advancements in Machine Learning and advocate for the appropriate application of those advancements in the lab. This position is fully on-site with opportunity to transition to a hybrid schedule. Salary: $6,983.33 - $14,950 monthly Qualifications Required: + Bachelor's degree in Statistics/Computer Science/Bioinformatics/Data Specification/ Data Science/Computational or equivalent experience/training. + 3-5 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. UCLA Health welcomes all individuals, without regard to race, sex, sexual orientation, gender identity, religion, national origin or disabilities, and we proudly look to each person’s unique achievements and experiences to further set us apart.