Epidemiologist II

Goldbelt, Inc.•UNAVAILABLE, Georgia

About The Position

The Epidemiologist II will support the mission of the Centers for Disease Control and Prevention (CDC), National Center on Birth Defects and Developmental Disabilities (NCBDDD) by providing epidemiologic expertise for programs and surveillance activities focused on birth defects, developmental disabilities, maternal and child health, and related public health priorities. The Epidemiologist II will design and implement epidemiologic studies; analyze and interpret surveillance and research data; evaluate data quality and surveillance systems; and contribute to scientific reports, manuscripts, and presentations.

Requirements

Public Health Surveillance
R, SAS, SQL, and data visualization
Data Quality Assurance
Bachelor's degree in Public Health, Epidemiology, Health Sciences, Biology, Nursing, or a related field.
Minimum of 3 years of experience supporting public health surveillance, epidemiology, healthcare data collection, or public health program operations.
Experience managing and analyzing large public health, healthcare, or surveillance datasets.
Proficiency in SAS, R, SQL, and data visualization tools.
Knowledge of epidemiologic methods, statistical analysis, data quality management, and public health surveillance systems.
Experience preparing technical documentation and communicating analytic findings to diverse audiences.
Strong organizational, analytical, and communication skills.

Nice To Haves

Master's degree in Epidemiology, Public Health, Biostatistics, Data Science, or a related discipline.
5+ years of relevant experience
Familiarity with CDC data standards, human subjects protections, IRB processes, and federal data governance requirements.
Experience working with multi-state surveillance systems and collaborating with state health departments and public health partners.

Responsibilities

Perform frequent (i.e., weekly) statistical analyses and reporting of data collected from DBDID birth defects surveillance systems and generate files, reports and tables from the data analyzed in a variety of formats (e.g., SAS, CSV, XML) for CDC program staff, as requested. Statistical analyses shall include prevalence ratios and trend analyses from multiple jurisdictions. This requires using advanced statistical programming (e.g., SAS and R) to collect data from multiple jurisdictions cleaning data, validating the data, analyzing the data using advanced epidemiologic methods (e.g., regression models), and summarizing results.
Perform complex and advanced statistical analyses of longitudinal surveillance and research data, prepare reports, manuscripts, briefing materials, etc., of surveillance and research results for publications, using SAS, R, or other open-source language.
Develop and implement specific study design elements including i. Statistical aspects such as power and sample size calculations, ii. Data management and data analyses plans, and, iii. Development of study procedures for surveillance data collection and case ascertainment; and indicate best recommendations among different sampling plans, surveillance data sources, and cost/time investments.
Provide information to DBDID subject-matter experts on the development or modification of surveillance and research protocols, as needed, and analysis of surveillance systems.