1

Computational Genomics Jobs in Georgia (NOW HIRING)

Serve as the subject matter expert for computational genomics and metagenomic analyses * Establish coding standards, workflow documentation, and quality assurance processes for bioinformatics ...

Serve as the subject matter expert for computational genomics and metagenomic analyses * Establish coding standards, workflow documentation, and quality assurance processes for bioinformatics ...

Serve as the subject matter expert for computational genomics and metagenomic analyses * Establish coding standards, workflow documentation, and quality assurance processes for bioinformatics ...

Serve as the subject matter expert for computational genomics and metagenomic analyses * Establish coding standards, workflow documentation, and quality assurance processes for bioinformatics ...

Postdoctoral Fellow

Atlanta, GA · On-site

$47K - $63K/yr

... genomics, and bioinformatics. This position offers advanced training in experimental design, data ... Ph.D. or equivalent in Microbiology, Immunology, Computational Biology, Molecular Biology, or ...

Post Doctoral Fellow

Atlanta, GA · On-site

$47K - $64K/yr

... in computational biology to study viral genomics and metagenomics. The field of viral genomics lies at a critical intersection of medicine, public health, and basic research. It guides fundamental ...

Post Doctoral Fellow

Atlanta, GA · On-site

$47K - $64K/yr

... in computational biology to study viral genomics and metagenomics. The field of viral genomics lies at a critical intersection of medicine, public health, and basic research. It guides fundamental ...

Post Doctoral Fellow

Atlanta, GA · On-site

$47K - $64K/yr

... in computational biology to study viral genomics and metagenomics. The field of viral genomics lies at a critical intersection of medicine, public health, and basic research. It guides fundamental ...

Advanced background/degree in Bioinformatics, Computational Biology, Epidemiology, or a related ... Strong programming skills in Python or R for genomic data processing and statistical analysis.

Use mathematical and computational approaches to understand the evolutionary and epidemiological patterns of viruses. * Ensure appropriate genomic analysis methods, procedures, techniques, and ...

Use mathematical and computational approaches to understand the evolutionary and epidemiological patterns of viruses. * Ensure appropriate genomic analysis methods, procedures, techniques, and ...

Post Doctoral Fellow

Atlanta, GA · On-site

$47K - $64K/yr

They will also have opportunities to collaborate with experts in AI/ML, population genomics, and computational methods, including Drs. Anant Madabhushi, Yan Sun, and Joyce Ho. * The positions offer ...

Post Doctoral Fellow

Atlanta, GA · On-site

$47K - $64K/yr

They will also have opportunities to collaborate with experts in AI/ML, population genomics, and computational methods, including Drs. Anant Madabhushi, Yan Sun, and Joyce Ho. * The positions offer ...

Post Doctoral Fellow

Atlanta, GA

$47K - $64K/yr

They will also have opportunities to collaborate with experts in AI/ML, population genomics, and computational methods, including Drs. Anant Madabhushi, Yan Sun, and Joyce Ho. * The positions offer ...

next page

Showing results 1-20

Computational Genomics information

See Georgia salary details

$34

$46

$62

How much do computational genomics jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for computational genomics in Georgia is $46.38, according to ZipRecruiter salary data. Most workers in this role earn between $39.57 and $62.12 per hour, depending on experience, location, and employer.

What is a computational genomics job?

A Computational Genomics job involves using computational and statistical approaches to analyze genomic data. Professionals in this field develop algorithms, build models, and apply machine learning to interpret DNA sequences, gene expression, and other biological data. They work in research, healthcare, biotechnology, and pharmaceutical industries to advance precision medicine, drug discovery, and disease understanding. Strong programming skills, bioinformatics knowledge, and expertise in data analysis are essential for this role.

What does a computational genomics specialist do?

As a professional in Computational Genomics, your typical day may involve analyzing large-scale genomic datasets, developing and maintaining bioinformatics pipelines, and collaborating closely with experimental biologists and other computational scientists. You will often be tasked with interpreting complex biological data, troubleshooting data quality issues, and preparing detailed reports or visualizations of your findings. Additionally, you may participate in team meetings to discuss project goals, new research findings, or workflow improvements. This role requires balancing independent analysis with frequent interdisciplinary collaboration to ensure scientific projects progress efficiently.

What are the key skills and qualifications needed to thrive in computational genomics?

To thrive as a Computational Genomics professional, you need a strong background in biology, statistics, and computer science, typically supported by a relevant degree such as bioinformatics, genomics, or computational biology. Familiarity with programming languages (such as Python, R, or Perl), bioinformatics tools (e.g., BLAST, GATK), and platforms like Linux/UNIX is essential. Strong problem-solving abilities, effective communication, and the ability to work collaboratively with interdisciplinary teams are valuable soft skills. These abilities are crucial for accurately analyzing complex genomic data, developing robust workflows, and translating findings into actionable biological insights.

Infographic showing various Computational Genomics job openings in Georgia as of August 2026, with employment types broken down into 1% Internship, 51% Full Time, 39% Part Time, 6% Contract, and 3% Nights. Highlights an 50% Physical, 2% Hybrid, and 48% Remote job distribution, with an average salary of $96,470 per year, or $46.4 per hour.

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 17 days ago


Job description

Overview

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

Goldbelt Integrated Logistics Services (GbILS) provides four specific areas of expertise-Logistics Engineering, Measurement Sciences, Program Management, and Technical Support-serving the scientific, technical, and engineering needs of clients. GbILS values its innovative thinking and service-oriented team who provide services for a variety of federal government and commercial clients.  

Summary:

GbILS is seeking a Senior Bioinformatician to serve as the technical lead for sequencing analytics, bioinformatics pipeline development, and computational infrastructure. This individual will provide scientific leadership in the design, implementation, optimization, and maintenance of scalable bioinformatics workflows supporting national wastewater surveillance efforts. The Senior Bioinformatician will collaborate with epidemiologists, laboratory scientists, software engineers, and public health partners to develop innovative analytical solutions that translate complex sequencing data into actionable public health intelligence.

Responsibilities

Essential Job Functions:

The Senior Bioinformatician serves as a technical lead and subject matter expert supporting advanced genomic surveillance, outbreak response, and pipeline architecture across multiple program areas. This role requires independent judgment, cross-functional collaboration, and the ability to design scalable, reproducible solutions for complex public health challenges.

  • Technical Leadership:
    • Lead the design, development, validation, and maintenance of scalable bioinformatics workflows for wastewater sequencing analyses
    • Serve as the subject matter expert for computational genomics and metagenomic analyses
    • Establish coding standards, workflow documentation, and quality assurance processes for bioinformatics analyses
    • Mentor junior bioinformaticians and provide technical oversight on analytical projects 
    • Review analytical methods, code, and computational workflows to ensure reproducibility and scientific rigor.
  • Scientific Leadership:
    • Collaborate with epidemiologists, laboratorians, statisticians, and software developers to translate surveillance needs into computational solutions
    • Recommend new analytical methods, software tools, and emerging technologies that improve wastewater surveillance capabilities
    • Lead development of novel algorithms and computational approaches for variant detection and pathogen characterization
    • Support publication of scientific findings through manuscripts, presentations, and technical reports. 
    • Design and maintain scalable cloud-based bioinformatics infrastructure capable of supporting national surveillance data
    • Optimize computational performance for high-volume sequencing datasets. 
    • Implement automated quality assurance and quality control monitoring throughout analytical pipelines
    • Develop statistical methods to identify variants and potential abundance based on mutations sequencing data sets
    • Develop standardized bioinformatics outputs for integration into the platform 
    • Performs quality control, assembly and analysis of environmental metagenomic sequencing samples 
    • Manages high-throughput sequencing raw and analytic data files, databases, including uploads to sequencing repositories
    • Prepares and delivers clear, concise and accurate reports, presentations, and scientific manuscripts
    • Assists with outbreak response
  • Wastewater Surveillance & Metagenomics:
    • Lead the design, implementation, and optimization of end-to-end bioinformatics pipelines for wastewater metagenomic sequencing in support of domestic wastewater surveillance for infectious diseases and related environmental monitoring programs
    • Develop and curate reference databases for detection and characterization of microbial, viral, fungal, and eukaryotic organisms from environmental and wastewater sample types, including source-specific databases for source attribution analyses
    • Develop and validate statistical models to identify variant composition and estimate relative pathogen abundance from wastewater sequencing datasets, integrating mutation profiling and deconvolution approaches
  • Synthetic Construct & Bio-surveillance:
    • Lead in silico screening efforts to detect synthetic genomic constructs and engineered sequence features within metagenomic and Whole Genome Sequencing (WGS) datasets, coordinating with biosecurity and laboratory partners to define detection criteria and validate findings.
    • Design and maintain specialized sequence databases incorporating virulence markers, resistance determinants, strain-type markers, and curated exclusion sequences (e.g., host DNA) to support bio surveillance workflows
  • Whole Genome Sequencing of Viral Pathogens
    • Provide expert bioinformatics support for Whole Genome Sequencing (WGS) of viral pathogens including measles virus and other priority pathogens, encompassing quality control, reference-based assembly, consensus genome generation, variant calling, and phylogenetic analysis.
    • Support evolutionary modeling of viral genomic data using Bayesian, maximum likelihood, and/or machine learning approaches to inform outbreak investigations and transmission network reconstruction
  • Pipeline Development & HPC/Cloud Architecture:
    • Architect, develop, optimize, refactor, and maintain modular, containerized Nextflow pipelines for sequence analysis spanning wastewater metagenomics, isolate Whole Genome Sequencing (WGS), and metagenomic source attribution, ensuring portability across HPC and cloud/hybrid-cloud environments (e.g., AWS, Azure, GCP).
    • Consult on scaling workflows from desktop to HPC and cloud environments using containerization tools (Docker, Singularity) and workflow management best practices; implement parallelized architectures where appropriate.
    • Champion code versioning standards and reproducibility practices using Git/GitHub/GitLab; author and maintain comprehensive technical documentation, SOPs, and workflow specifications
  • Artificial Intelligence/Machine Learning (AI/ML) Integration
    • Investigate and implement AI/ML algorithms - including deep learning and Natural Language Processing (NLP)-based approaches - for large-scale genomic pattern recognition, pathogen characterization, and automated feature extraction from scientific literature and surveillance reports.
    • Advise program staff on novel applications of AI/ML to public health genomic surveillance and recommend approaches appropriate to data scale and biological context
Qualifications

Necessary Skills and Knowledge:

  • Expert proficiency in Python, R, Bash, and Perl in Linux/HPC environments 
  • Containerization: Docker, Singularity 
  • NGS tools: Bowtie2, SPAdes, Velvet, Prodigal, GATK, QUAST, and related open-source platforms 
  • Phylogenetics: IQ-TREE, BEAST, RAxML, or equivalent 
  • Cloud computing platforms and NoSQL/relational database design 
  • Code versioning: Git, GitHub, GitLab 

Minimum Qualifications:

  • Minimum 5-8 years of related years of experience
  • Advanced experience with Nextflow; familiarity with Snakemake and WDL

Preferred Qualifications:

  • Master's or Ph.D. in Bioinformatics, Computational Biology, Computer Science, Genomics, Biology, Microbiology, Public Health, Biostatistics, or closely related scientific discipline
  • Experience with PySpark preferred
  • Excellent problem-solving and analytical skills
  • Strong communication skills, capable of effectively interacting with both technical teams and non-technical stakeholders.
  • Ability to work independently as well as collaboratively in a team-oriented environment
  • At least five (5) years of experience in relevant work or related areas
  • Previous experience with federal government agencies; preferably with CDC

Pay and BenefitsAt 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.

Employment Type: FULL_TIME