Bioinformatician II

Seneca Holdings•Atlanta, GA

11d

About The Position

Great Hill Solutions, LLC seeks a skilled Bioinformatician II to support the Centers for Disease Control and Prevention (CDC) in providing bioinformatics, data management, and surveillance tool development support for viral vaccine-preventable disease programs. This role supports the design, development, and implementation of data systems and analytic pipelines used to collect, manage, analyze, and visualize epidemiologic and laboratory data across multiple Viral Vaccine-Preventable Disease Program portfolios.

Requirements

Master’s degree in Computer Science, Bioinformatics, Computational Biology, Life Sciences, Public Health, or a related field.
Core experience analyzing biological datasets related to infectious diseases (e.g., sequencing, protein, phenotype, or related data types).
Experience selecting, evaluating, and applying computational methods to analyze biomedical data.
Proficiency with Microsoft Office Suite (Word, Excel, PowerPoint).
Demonstrated ability to interpret, document, and report results of computational and bioinformatics analyses.

Nice To Haves

Experience supporting CDC or other federal public health programs.
Hands-on experience with Linux-based computing environments and high-performance computing systems.
Experience supporting surveillance systems or public health data platforms.
Strong organizational skills and ability to manage multiple priorities.
Effective written and verbal communication skills for technical and non-technical audiences.

Responsibilities

Maintain and manage epidemiologic and laboratory datasets using SAS and other data management tools (e.g., R, REDCap, Microsoft Access, Excel, Epi Info).
Support the design, development, and implementation of surveillance tools and applications used to collect epidemiologic data.
Convert and integrate datasets from multiple file formats (e.g., Excel, Access, SQL, ASCII) into SAS or other analytic-ready datasets.
Design, program, test, enhance, maintain, and support surveillance applications and data collection systems.
Develop scripts and software for data manipulation, cleaning, analysis, and visualization using Python, R, BASH, SQL, or similar languages.
Develop and maintain bioinformatics pipelines using workflow tools such as Snakemake or Nextflow in Linux-based high-performance computing environments.
Transform and prepare diverse data sources into appropriate formats for bioinformatics and molecular epidemiology studies.
Conduct data mining and curation from public sequence databases to support genomic and molecular epidemiologic analyses.
Develop or support dashboards and data visualization tools (e.g., Power BI, Tableau, R Shiny) to present laboratory and epidemiologic data.
Prepare and submit monthly progress reports detailing accomplishments, ongoing work, and identified challenges.