Research Data Analyst
Company:
University of California, Davis Center for Healthcare Policy and Research
Location:
Sacramento, CA
Contact Person:
Meghan Weyrich
Phone, Email, Postal Address:
(916) 734-5316
masoulsby@ucdavis.edu
# of Openings: 1
How to Apply: Apply at the UC Davis jobs page (Search Staff Jobs – Requisition #13182)
Abstract of Position:
Under oversight of the Principal Investigator and work closely with other co-investigators, especially the faculty biostatisticians, responsible for data analysis, programming and research study support. Responsible for developing, revising and maintaining computer programs and procedures for data management, record linkage, quality control, statistical programming, and analysis of data for a variety of projects. Participate in overall study design, analysis plan design, execution of analyses, and interpretation of the results of data analyses.
Provide research study support to faculty and non-faculty investigators by preparing data for analysis, evaluating data quality, linking/merging data sets, as well as documenting all data management and analysis steps. Write or revise the methods and results sections of manuscripts related to data processing and computation including producing publication-quality tables and figures, and will assist in designing and writing analysis plans for future grant proposals.
Perform duties related to project coordination and administration as assigned including preparing and coordinating data requests with state and national agencies, and conducting and summarizing results of literature review related to statistical analysis and data management.
Responsibilities:
Under oversight of the Principal Investigator and work closely with other co-investigators, especially the faculty biostatisticians, responsible for data analysis, programming and research study support.
Responsible for developing, revising and maintaining computer programs and procedures for data management, record linkage, quality control, statistical programming, and analysis of data for a variety of projects, including those examining prescription opioid use and musculoskeletal pain.
Participate in overall study design, analysis plan design, execution of analyses, and interpretation of the results of data analyses. Provide research study support to faculty and non-faculty investigators by preparing data for analysis, evaluating data quality, linking/merging data sets, as well as documenting all data management and analysis steps. Write or revise the methods and results sections of manuscripts related to data processing and computation including producing publication-quality tables and figures, and will assist in designing and writing analysis plans for future grant proposals.
Perform duties related to project coordination and administration as assigned including preparing and coordinating data requests with state and national agencies, and conducting and summarizing results of literature review related to statistical analysis and data management.
Pay Rate / Salary: $5,683.33 – 11,408.33/MO
Skills / Education Requirements:
Required:
- – Experience managing and analyzing large databases using SAS and other statistical software (e.g., R, Stata).
- – Experience performing secondary data analysis or conducting research using data sources not specifically designed for such research.
- – Knowledge and understanding of principles of epidemiology and clinical study design including appropriate statistical analytic approaches for different types of data.
- – Experience with scientific manuscript writing and data analysis in an academic, research, or similar setting, as evidenced by authorship or co-authorship of published, peer-reviewed manuscripts.
- – Organizational skills to independently track of multiple projects, work to meet specific deadlines, and document procedures.
Preferred:
- – Bachelor’s degree in computer science, biostatistics, statistics, epidemiology, or a related field.
- – Experience assembling analysis datasets from multiple data tables, using deterministic record linkage.
- – Experience with relational database management concepts and applications including structured query language and implementations in Microsoft Access, SAS PROC SQL or another popular database management environment.
- – Experience with analysis of clinical and health outcomes data.
Operating Systems: SAS
Date Posted: 12/1/2020