ZipRecruiter

Log In

1

Synthetic Genomics Jobs (NOW HIRING)

Goldbelt, Inc.

Senior Bioinformatician

Atlanta, GA · On-site

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 ...

Goldbelt, Inc.

Senior Bioinformatician

Atlanta, GA · On-site

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 ...

Goldbelt, Inc.

Senior Bioinformatician

Atlanta, GA · On-site

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 ...

Goldbelt, Inc.

Senior Bioinformatician

Atlanta, GA

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 ...

CRDF Global

Biosecurity Expertise

Arlington, VA

Secure collaboration practices for genomic and synthetic biology research, including data use/transfer agreements (DTAs/DUAs), tech transfer agreements, and IP protection agreements Bioinformatics ...

CRDF Global

Biosecurity Expertise

Arlington, VA · On-site

Secure collaboration practices for genomic and synthetic biology research, including data use/transfer agreements (DTAs/DUAs), tech transfer agreements, and IP protection agreements * Bioinformatics ...

previous pagenext page

Showing results 21-40

All JobsTechnology JobsSynthetic Genomics Jobs

synthetic genomics information

See salary details

$44.5K

$76.9K

$149K

How much do synthetic genomics jobs pay per year?

As of Aug 23, 2026, the average yearly pay for synthetic genomics in the United States is $76,893.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,500.00 and $85,000.00 per year, depending on experience, location, and employer.

What is synthetic genomics?

Synthetic genomics is a field of science focused on designing, constructing, and modifying the genetic material of organisms using synthetic biology techniques. This involves creating new DNA sequences or even entire genomes in the laboratory, enabling researchers to engineer organisms with specific traits or functions. Applications of synthetic genomics include developing new medicines, biofuels, and agricultural products, as well as advancing our understanding of genetics and life itself.

What are the key skills and qualifications needed to thrive as a synthetic genomics scientist?

To thrive as a Synthetic Genomics Scientist, you need a strong background in molecular biology, genetics, and bioinformatics, typically supported by an advanced degree in a life science field. Familiarity with genome editing tools (like CRISPR), DNA synthesis technologies, and computational analysis software is crucial. Creativity, attention to detail, and strong problem-solving skills help drive innovation and effective teamwork in complex research environments. These skills are essential for designing, constructing, and analyzing synthetic genomes to advance scientific discovery and biotechnology applications.

What are some common challenges faced by professionals working in synthetic genomics, and how can they be addressed?

Professionals in synthetic genomics often encounter challenges such as managing large-scale data sets, ensuring the accuracy of gene synthesis, and navigating complex regulatory requirements. Effective collaboration with bioinformaticians, molecular biologists, and regulatory experts is crucial to address these issues. Staying current with advances in automation and data analysis tools can help streamline workflows, while ongoing training and adherence to best practices ensure compliance and high-quality results.

What is the difference between Synthetic Genomics vs Molecular Biologist?

AspectSynthetic GenomicsMolecular Biologist
Required CredentialsBachelor's or higher in genetics, biology, or related field; specialized training in genomicsBachelor's or higher in biology, genetics, or related field; often advanced degrees
Work EnvironmentResearch labs, biotech companies, genomics firmsAcademic labs, research institutions, biotech companies
Industry UsageBiotech, pharmaceuticals, agriculture, synthetic biologyResearch, healthcare, academia, biotech

Both roles involve genetics and laboratory work, but Synthetic Genomics focuses on designing and synthesizing genomes, often in biotech and industry settings. Molecular Biologists conduct fundamental research on genetic mechanisms, typically in academic or research institutions. While overlapping in genetics expertise, Synthetic Genomics specialists are more industry-oriented with a focus on genome synthesis, whereas Molecular Biologists often pursue broader biological research.

Is synthetic genomics a good career?

Synthetic genomics is a growing field within biotechnology that involves designing and constructing new genetic material. Careers in this area often require strong backgrounds in molecular biology, bioinformatics, and laboratory skills, with opportunities in research, development, and industry. The field offers potential for innovation and contribution to healthcare, agriculture, and environmental solutions.
More about synthetic genomics jobs

What are the most commonly searched types of Synthetic Genomics jobs?

The most popular types of Synthetic Genomics jobs are:

What states have the most Synthetic Genomics jobs?

States with the most job openings for Synthetic Genomics jobs include:

What job categories do people searching Synthetic Genomics jobs look for?

The top searched job categories for Synthetic Genomics jobs are:

synthetic genomics jobs near you
Infographic showing various Synthetic Genomics job openings in the United States as of August 2026, with employment types broken down into 89% Full Time, 8% Part Time, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $76,893 per year, or $37 per hour.

Senior Bioinformatician

Goldbelt, Inc.

Atlanta, GA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 18 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 Benefits
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.

Apply