Department of Pediatrics is one of the largest departments within the UCSD School of Medicine with comprehensive clinical programs, extensive basic science and clinical research, and diverse educational opportunities for students, residents, and fellows. The internationally renowned faculty play a major role in medical and graduate student training, providing educational and programmatic offerings that span several disciplines, and provide diversity to meet the interests of a broad spectrum of students and scholars. More than one hundred trainees at the graduate student and postdoctoral level, as well as more than 300 professional, research, and administrative staff who along with the department administrators interact closely with the faculty. The diverse mix of ages, backgrounds, and talents creates a robust work environment with challenging career opportunities and a commitment to continued growth potential. We constantly seek to recruit highly motivated, technologically-advanced and interested individuals to become a part of our dynamic cutting-edge research, clinical, and educational environment.

The Research Data Analyst 3, serving as a statistician, independently consults with and assists principal investigators in the development and implementation of new major research projects, principally within the Pediatric Immunization Advancement Research Group. The incumbent will independently perform routine and advanced statistical analyses; develop complex mathematical models and custom statistical programs; research novel statistical methods and tools and apply them to data analyses; participate as a team member in grant writing, study design, data analysis, and accurate interpretation and presentation of the research results; actively engage in co-authoring scientific manuscripts; independently train investigators, trainees, and research staff in data quality control and use and implementation of statistical techniques using statistical software. Develops understanding and overview of the area of application.

Uses skills as a seasoned, experienced research professional with a full understanding of in-depth statistical analyses and/or research software programming techniques. Demonstrates good judgment in selecting methods and techniques for obtaining solutions.

• Seven (7) years of related experience, education/training, OR a Bachelor's degree in related area plus three (3) years of related experience/training.

• Thorough knowledge of research function. Knowledge in science, such as biology, epidemiology, and/or clinical research. Demonstrated ability to read scientific, biomedical, or public health literature and to understand the scientific context of statistical analyses.

• Thorough skills associated with statistical analysis and systems programming. Knowledge of statistics and application of basic statistical analysis methods (examples: Chi-square tests, t-tests, regression modeling). MS in statistics or a comparable combination of education and experience preferred.

• Demonstrated scientific writing skills in an academic medical setting. Understanding of principles of scientific method (constructing and testing hypotheses), experience in developing research plans based on objectives and purposes of various studies, previous research, and restrictions inherent in the study.

• Experience programming in R or equivalent statistical software, and in scripting languages such as Markdown or Knitr. Extensive experience using statistical software (e.g., R) to analyze the data with standard and advanced statistical methods, such as, but not limited to, multivariable and multivariate modeling, longitudinal analyses, and machine learning.

• Experience in the creation and presentation of reports and graphical displays of data in various formats to both professional and lay communities.Expertise developing effective tables and figures for manuscripts and conference presentations.

• Thorough skills in analysis and consultation. Advanced skill to critically review data analyses done by trainees and guide them on correct interpretation of the results and decision-making.

• Skills in project management. Demonstrated experience contributing to study design by helping investigators to choose design scheme that maximizes chances of statistically significant findings.

• Research skills at a level to evaluate alternate solutions and develop recommendations. Advanced skill to recommend changes to deficient procedures that will improve scientific outcomes and efficiency.

• Demonstrated knowledge and understanding of statistical principles and approaches.

• Proven ability to adapt and apply statistical or data analysis techniques developed in different scientific fields or found in the statistical literature.

• Demonstrated experience writing custom statistical code to prepare data for analyses.

• Proven ability to research and learn new and developing statistical methods and tools through self-learning, seminars, and other modes of learning.

• Ability to provide one-on-one consultations and group training on statistical methods and their implementation in statistical software.

• Demonstrated experience co-authoring scientific manuscripts: independently writes description of statistical methodology, writes results section, researches and provides relevant references, reviews, and edits entire manuscript drafts.

• Employment is subject to a criminal background check.

• Must be willing to work evenings and weekends as necessary.