Bioinformatician II

Seneca Holdings•Atlanta, GA

13d

About The Position

Great Hill Solutions, LLC is part of the Seneca Nation Group (SNG) portfolio of companies. SNG is Seneca Holdings' federal government contracting business that meets mission-critical needs of federal civilian, defense, and intelligence community customers. Our portfolio comprises multiple subsidiaries that participate in the Small Business Administration 8(a) program. To learn more about SNG, visit the website and follow us on LinkedIn. Our team of talented individuals is what makes us successful. To support our team, we provide a balanced mix of benefits and programs. Your total rewards package includes competitive pay, benefits, and perks, flexible work-life balance, professional development opportunities, and performance and recognition programs. We offer a comprehensive benefits package that includes medical, dental, vision, life, and disability, voluntary benefit programs (critical illness, hospital, and accident), health savings and flexible spending accounts, and retirement 401K plan. One of our fundamental principles is to offer competitive health and welfare benefits to our team members, providing coverage and care for you and your family. Full-time employees working at least 30 hours a week on a regular basis are eligible to participate in our benefits and paid leave programs. We pride ourselves on our collaborative work environment and culture, which embraces our mission of providing financial and non-financial benefits back to the members of the Seneca Nation. 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.