Bioinformatician – Viral Vaccine-Preventable Disease Programs (Measles & Rubella)

Program/Org: CDC NCIRD/DVD/VVPDB

Work Type: Bioinformatics + data management + surveillance tool/pipeline development for epidemiologic and laboratory datasets.

Location: CDC, 1600 Clifton Road NE, Atlanta, GA 30329

- Building 24, 8th floor
- Building 18, 5th floor

Work Schedule / Core Support Hours: Monday–Friday / 8:00 AM - 4:30 PM

Travel Requirements: Travel for outbreak response / special studies / routine travel

Role Summary

This Bioinformatician role supports the design, development, implementation, and maintenance of surveillance tools, data systems, and pipelines needed to collect, manage, transform, curate, analyze, and visualize epidemiologic and laboratory data for viral vaccine-preventable disease programs.

Education: Master’s degree in computer science, bioinformatics, computational biology, life sciences, public health, or other relevant studies.

Experience: 1-year experience interpreting/analyzing data using statistical software

Technical Skills:

Statistical software (SAS, R, SPSS, STATA, Python, etc.)
Data collection, cleaning, manipulation, visualization
Epidemiologic study design and analysis
Administrative and survey data analysis
Protocol and IRB support (knowledge, not prior gov access)
Microsoft Office Suites: Word, Excel, Outlook, PowerPoint, Access, etc.

Minimum Qualifications

Core experience analyzing biological datasets in infectious disease studies (e.g., sequencing, protein, phenotype, or similar).
Experience selecting/evaluating computational approaches for biomedical data analyses.
Experience interpreting, reporting, and documenting computational analyses over biological datasets.

Key Responsibilities

The Bioinformatician will:

Maintain epidemiological and laboratory data using SAS and other data management packages, including R, REDCap, Microsoft Access, Excel, EpiInfo.
Support design/development/implementation of surveillance tools to collect epidemiologic data.
Convert datasets across file formats (e.g., Excel, Access, SQL, ASCII) into SAS datasets.
Design, program, test, modify, enhance, maintain, and support new surveillance applications that collect epidemiological data.
Develop scripts/software for data manipulation, cleaning, analysis, and visualization using Python, R, BASH, SQL.
Develop bioinformatics pipelines using workflow tools such as Snakemake or Nextflow on Linux-based high-performance computing environments, using parallel programming capabilities.
Transform data sources into appropriate file formats for bioinformatics/epidemiological studies.
Conduct data mining and data curation from public sequence databases to support bioinformatics and molecular epidemiologic analyses.
Work with and/or develop dashboarding tools (including Power BI, Tableau, R Shiny) to manage and visualize laboratory and epidemiological data.
Handing PII
Submit monthly progress reports.
Other duties as assigned.

P3S Corporation is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.

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