Data Analyst I, ERIB

This is a fully remote position, open to applicants in United States.

📋 Description

• Utilize data management and analytical skills on administrative and various data sources, including AR Lab Network, NNDSS-CPO, and electronic healthcare data.

• Generate and submit documented code in SAS or other languages/platforms (Decipher, Spark, R, SQL/Databricks) for quality assurance, data manipulation, standard reporting, and data cleansing.

• Develop and submit SAS/R code for statistical and epidemiological analyses, including frequency analyses, 2x2 analyses, and regression models.

• Support programming and data management for scientific publications; create tables and charts.

• Collaborate with principal investigators to create data dictionaries and management documents.

• Assist in the acquisition and renewal of administrative data sources by preparing request packages, use agreements, and research approvals.

• Communicate effectively with internal and external project leaders and partners.

• Build and maintain project/product databases, SharePoint sites, Teams, and visualization tools.

• Engage with scientists and program consultants in project development and evaluation, including conducting literature reviews.

• Attend meetings, conferences, and 1–2 site visits to facilitate communication and standardize protocols.

• Participate in CDC response activities and training exercises, including staffing the EOC desk under the direction of the DHQP Team Lead.

⛳️ Requirements

• 1–2 years of relevant experience in a public health or quantitative field.

• Strong proficiency in various statistical software (SAS, R, Python, etc.).

• Familiarity with data management systems and the application of data management software.

• Previous experience with government procedures and guidelines.

• Capability to obtain and maintain CDC Public Trust Clearance.

• Understanding of principles, concepts, methods, and techniques in public health research and evaluation.

• Knowledge of scientific principles, methods, applications, and cutting-edge technology in the relevant scientific area.

• Ability to communicate effectively both orally and in writing, delivering clear and persuasive presentations.

• Familiarity with rules, procedures, and principles related to intramural and extramural program development, monitoring, and evaluation.

• High proficiency in Microsoft Office tools (Word, Excel, Access, PowerPoint, Teams, and SharePoint).

• Strong judgment and decision-making skills; able to work independently and manage multiple tasks simultaneously.

• Excellent written and verbal communication skills in interpersonal interactions.

• Highly organized with a keen attention to detail.

• Preferred: Master’s degree in Statistics, Data Science, Public Health, or a related field.

• Preferred: 3–5 years of experience in public health data analysis, including data manipulation, cleaning, and reporting.

• Prior experience with the CDC is highly desirable.

🏝️ Benefits

• Medical, dental, and vision insurance.

• 401(k) plan with company matching.

• Tax-deferred savings options.

• Supplementary benefits.

• Paid time off.

• Opportunities for professional development.