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$44.5K

$76.9K

$149K

How much do synthetic genomics jobs pay per year?

As of Jul 14, 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 the highest paying job in genetics?

In genetics, roles such as genetic counselors, research directors, and senior molecular geneticists tend to have the highest salaries, often exceeding $100,000 annually. Positions requiring advanced degrees, specialized skills in bioinformatics or genome editing, and leadership responsibilities typically command higher compensation.

What are the key skills and qualifications needed to thrive as a Synthetic Genomics Scientist, and why are they important?

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 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.

How much does a synthetic biologist make?

Synthetic biologists typically earn a median annual salary of around $80,000 to $120,000, depending on experience, education, and location. Entry-level positions may start lower, while experienced professionals or those in specialized roles can earn higher salaries, especially in biotech or pharmaceutical industries.

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 jobs in the US pay 300,000 a year?

In the field of synthetic genomics, high-paying roles such as senior research scientists, biotech executives, and specialized bioinformatics directors can earn $300,000 or more annually. These positions typically require advanced degrees, extensive experience, and expertise in genetic engineering, laboratory management, or biotech business development.

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 biology a good career?

Synthetic genomics is a growing field within synthetic biology that involves designing and constructing new genetic material. Careers in this area often require a background in molecular biology, bioinformatics, or genetic engineering, and may involve working in research labs, biotech companies, or academic institutions. The field offers opportunities for innovation and interdisciplinary collaboration, with increasing demand for skilled professionals as the technology advances.
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 July 2026, with employment types broken down into 95% Full Time, 3% Part Time, and 2% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $76,893 per year, or $37 per hour.
Senior Bioinformatics Scientist (South San Francisco, CA)

Senior Bioinformatics Scientist (South San Francisco, CA)

Cedent

South San Francisco, CA • On-site

Full-time

Re-posted 19 days ago

Job description

We are seeking a highly motivated and innovative Senior/Staff Bioinformatics Scientist to join our R&D team focused on synthetic biology product development. In this role, you will work at the intersection of computational and molecular biology, developing advanced DNA sequence analysis pipelines, gene design algorithms, and predictive models to optimize DNA synthesis and assembly.
You will collaborate with molecular biologists, product teams, and manufacturing engineers to refine client's core synthetic biology platform, troubleshoot assembly challenges, and improve DNA synthesis efficiency. This position emphasizes predictive modeling, algorithm development, and data-driven approaches to enhance synthetic biology workflows.
Key Responsibilities
Synthetic Biology & DNA Assembly
  • Develop bioinformatics methods supporting DNA assembly strategies and synthetic biology workflows.
  • Apply machine learning and predictive modeling to improve DNA assembly success rates and optimize synthesis parameters.
  • Collaborate with wet-lab scientists to analyze and troubleshoot molecular biology processes.
  • Develop bioinformatics approaches for diagnosing and resolving complex DNA synthesis and assembly issues.
NGS Pipeline Development & Data Science
  • Build and maintain NGS analysis pipelines (e.g., Nextflow) to support quality control and performance tracking of synthetic biology products.
  • Leverage Oxford Nanopore Technologies (ONT), Illumina, or PacBio sequencing to analyze and optimize synthesis workflows.
  • Develop predictive models to identify challenging sequences and recommend optimizations to improve synthesis efficiency.
  • Ensure pipeline accuracy, reproducibility, and scalability in research environments.
Data Analysis & Insights
  • Apply advanced statistical and machine learning methods to evaluate improvements in synthetic biology product iterations.
  • Use Python, R, and visualization tools to generate actionable insights and present findings to stakeholders.
  • Design and implement novel bioinformatics algorithms for sequence analysis and synthetic biology applications.
Cross-Functional Collaboration
  • Partner with R&D, manufacturing, and product development teams to troubleshoot assay issues and implement data-driven solutions.
  • Support the broader Bioinformatics team by integrating synthetic biology workflows with existing genomic data processing pipelines.
  • Assist with customer-facing analyses related to synthetic biology assay performance.
Required Qualifications
  • Educational Background & Experience:
  • Bachelor's/Master's degree with 6-8 years of industry experience, or a Ph.D. with 3+ years of industry experience in Bioinformatics, Molecular Biology, Biochemistry, Genetics, Genomics, Computational Biology, or a related field.
  • Bioinformatics & NGS Expertise:
  • Experience with ONT, Illumina, or PacBio sequencing technologies.
  • Proficiency in workflow management tools (Nextflow, Snakemake).
  • Hands-on experience designing predictive models for sequence design & synthetic biology applications.
  • Technical Skills:
  • Expertise in Python (Pandas, NumPy, SciPy) and visualization libraries (Matplotlib, Seaborn, Plotly).
  • Experience with machine learning frameworks (scikit-learn, TensorFlow, PyTorch) applied to biological sequence data.
  • Familiarity with R, SQL, or other statistical tools.
  • Molecular Biology & Synthetic Biology Knowledge:
  • Understanding of DNA assembly, cloning techniques, and molecular biology workflows.
  • Ability to interpret experimental data and provide feedback on laboratory procedures.
Preferred Qualifications
  • Experience developing design algorithms for synthetic biology applications.
  • Familiarity with deep learning approaches for biological sequence analysis.
  • Exposure to high-throughput experimental design and laboratory automation.
  • Hands-on experience with gene synthesis and synthetic biology assay development.
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About Cedent

Sourced by ZipRecruiter

CEDENT strives to attract and retain the best people and provide an environment where they can all develop professionally and build a rewarding career. As a result, we create an inclusive environment that is rich in diversity, acknowledges each individual's uniqueness and promotes respect, personal achievement and stewardship. Our clients are global and so is CEDENT. We build and maintain a global workforce that includes people from different backgrounds, with a vast range of skills and experience all united by a common culture and commitment to help our clients achieve high performance. Cultivating a diverse workforce and inclusive work environment makes business sense. Our peoples varied skills are the talent engine that powers CEDENT, enabling it in turn to deliver the innovative solutions that help our clients outperform competitors.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Plano, TX, US

Year founded

2008

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