Cdc Biostatistics Jobs (NOW HIRING)

Please note that this position is contingent upon the successful award of a contract currently under bid.

Goldbelt Professional Services specializes in providing expert resources for Public Health missions including scientific, technical, and administrative support from junior staff to high-level subject matter experts. Research and data driven, Goldbelt Professional Services’ experts create solutions customized to the client’s needs. 

Summary:

The Data Analyst supports the Study to Explore Early Development (SEED) within the National Center on Birth Defects and Developmental Disabilities (NCBDDD) at the Centers for Disease Control and Prevention (CDC). This position is responsible for managing, analyzing, and interpreting complex, multi-site epidemiologic and surveillance data related to autism spectrum disorder (ASD), developmental disabilities, and child health outcomes. The Data Analyst contributes to data-driven research, surveillance, program evaluation, and public health initiatives that advance understanding of developmental disabilities and improve health outcomes for children and families.

Essential Job Functions:

• Transfer SEED participant data from the GA SEED Information System to the National SEED Information System
• Develop, administer, and monitor quality control of SEED data in the GA SEED Information System. Provide data analyst support for miscellaneous data report requests, create presentations, abstracts, and publications
• Conduct validation (second review) and score matching of the Social Communication Questionnaire (SCQ) / SCERTS® Assessment Process (SAP) scores of the SEED participants weekly
• Create and run SAS or other open-source language codes necessary to produce outputs needed for routine GA SEED reporting.
• Prepare and create data files for GA SEED participants through coding (e.g., SAS, R, SQL, or other open-source languages) – i.e., subset data files, manipulating data from “wide” to “long” format, re-coding variables, etc.
• Prepare data files before linkage (i.e., perform data cleaning steps as needed), develop appropriate linkage strategies (deterministic vs. probabilistic), and perform post-hoc analyses to validate linkage results and identify additional data cleaning needs
• Create extensive variable mapping documents and data dictionaries, which are used by scientific staff and statisticians during data analysis
• Document coding for Complex Variables for GA SEED
• Conduct weekly tracing of GA SEED participants through use of available participant contract information to ensure information is current and accurate
• Create and deliver tracking “Enrolled/Disposition” reports of GA SEED participants on a weekly basis

Necessary Skills and Knowledge:

• Applies epidemiologic and biostatistical methods to analyze multi-site surveillance and research data, including ASD and developmental disabilities datasets, using SAS, R, and SQL.
• Develops, cleans, and maintains complex datasets; ensures data integrity through validation, quality control protocols, and adherence to data governance standards.
• Translates complex analytical results into clear reports, tables, figures, and presentations for scientific, programmatic, and stakeholder audiences.
• Works effectively with epidemiologists, researchers, IT staff, and external partners across multiple sites to support study operations, data submissions, and analytic needs.
• Identifies data issues and process improvement opportunities, supports IRB and compliance requirements, and contributes to study design, reporting, and evaluation.

Minimum Qualifications:

• Bachelor's degree in Epidemiology, Biostatistics, Public Health, Data Science, Statistics, Health Informatics, Computer Science, or a related field.
• Minimum of 3–5 years of relevant experience in data analysis, public health research, epidemiology, surveillance systems, or health data management.
• Experience using SAS, R, SQL, or similar statistical programming languages.

Preferred Qualifications:

• Master's degree in Public Health, Epidemiology, Biostatistics, Data Science, or a related field.
• 5–8 years of experience supporting epidemiologic research, multi-site studies, surveillance systems, or federal public health programs.
• Experience working with developmental disabilities, autism spectrum disorder research, maternal and child health, or CDC-funded studies.
• Experience supporting scientific publications, grant-funded research, and large-scale population-based studies.

Pay and Benefits

The annual salary for this position is $85,000 to $105,000.

At Goldbelt, we value and reward our team's dedication and hard work. We provide a competitive base salary commensurate with your qualifications and experience. As an employee, you'll enjoy a comprehensive benefits package, including medical, dental, and vision insurance, a 401(k) plan with company matching, tax-deferred savings options, supplementary benefits, paid time off, and professional development opportunities.

Necessary Skills and Knowledge:

• Applies epidemiologic and biostatistical methods to analyze multi-site surveillance and research data, including ASD and developmental disabilities datasets, using SAS, R, and SQL.
• Develops, cleans, and maintains complex datasets; ensures data integrity through validation, quality control protocols, and adherence to data governance standards.
• Translates complex analytical results into clear reports, tables, figures, and presentations for scientific, programmatic, and stakeholder audiences.
• Works effectively with epidemiologists, researchers, IT staff, and external partners across multiple sites to support study operations, data submissions, and analytic needs.
• Identifies data issues and process improvement opportunities, supports IRB and compliance requirements, and contributes to study design, reporting, and evaluation.

Minimum Qualifications:

• Bachelor's degree in Epidemiology, Biostatistics, Public Health, Data Science, Statistics, Health Informatics, Computer Science, or a related field.
• Minimum of 3–5 years of relevant experience in data analysis, public health research, epidemiology, surveillance systems, or health data management.
• Experience using SAS, R, SQL, or similar statistical programming languages.

Preferred Qualifications:

• Master's degree in Public Health, Epidemiology, Biostatistics, Data Science, or a related field.
• 5–8 years of experience supporting epidemiologic research, multi-site studies, surveillance systems, or federal public health programs.
• Experience working with developmental disabilities, autism spectrum disorder research, maternal and child health, or CDC-funded studies.
• Experience supporting scientific publications, grant-funded research, and large-scale population-based studies.

Pay and Benefits

The annual salary for this position is $85,000 to $105,000.

At Goldbelt, we value and reward our team's dedication and hard work. We provide a competitive base salary commensurate with your qualifications and experience. As an employee, you'll enjoy a comprehensive benefits package, including medical, dental, and vision insurance, a 401(k) plan with company matching, tax-deferred savings options, supplementary benefits, paid time off, and professional development opportunities.