The Epidemiologist will be part of a dynamic team contributing to critical advancements in birth defects research at the Arkansas Center for Birth Defects Research and Prevention. The Epidemiologist will independently perform and provide will provide expertise in management, analysis, and interpretation of birth defect, laboratory and research project data. S/he will also provide research support for the Center Director and Center investigators in specific research projects. Under the direction of the Center Director and in collaboration with Center Investigators and the funding agency, the Epidemiologist will be responsible for maintaining and updating analysis procedures and protocols for data manipulation and quality assurance and control procedures for the Arkansas Center and research projects. Utilizes appropriate epidemiologic and statistical methods in data analysis using statistical software (e.g., SAS, STATA, SPSS, etc.), and various other databases, graphics, mapping, spreadsheet, and word processing applications. Will be responsible for becoming an expert in birth defects data, including the Centers for Disease Control and Prevention National Birth Defects Prevention Study and BD-STEPS databases. Manipulate, clean, tabulate, and analyze large datasets (e.g., hospital discharge data, vital records) and create or utilize matching programs to link records using available identifiers.
UAMS offers amazing benefits and perks:
Under the direct supervision of the Principal Investigator (PI)/Director, serve as a member of the Study Management Team, working directly with co-investigators, study project officer(s), and other funded study sites across the U.S. in relation to daily research operations as follows:
Knowledge, Abilities, and Skills:
Minimum Qualifications: Master's degree in Public Health, Epidemiology, Biostatistics, or related field plus two (2) years of experience using statistical software (e.g., SAS, STAT, SPSS, R, etc.) for analysis of public health or clinical databases. Strong skills in data management, including performing quality assurance, developing data dictionaries, routine updates.
Preferred Qualifications: Masters or Docotorate degree, plus 4 years of experience using statistical software (e.g., SAS, STAT, SPSS, R, etc.) for analysis of public health or clinical databases. Experience with database linkage. Excellent skills in data management, including performing quality assurance, developing data dictionaries, routine updates.