Evo was used to create the first AI gene therapy tool CRISPR-Cas9, and the first AI whole genome ... Own core infrastructure. Drive development of systems for large-scale model training and ...
New
Evo was used to create the first AI gene therapy tool CRISPR-Cas9, and the first AI whole genome ... Own core infrastructure. Drive development of systems for large-scale model training and ...
New
... and dynamic modeling of disease trajectories. Successful applicants will receive a competitive ... scales. We invite applications covering a wide range of areas, including but not limited to:
... and dynamic modeling of disease trajectories. Successful applicants will receive a competitive ... scales. We invite applications covering a wide range of areas, including but not limited to:
Evo was used to create the first AI gene therapy tool CRISPR-Cas9, and the first AI whole genome ... We believe that biological foundation models will require advances not only in systems and scale ...
New
Evo was used to create the first AI gene therapy tool CRISPR-Cas9, and the first AI whole genome ... We believe that biological foundation models will require advances not only in systems and scale ...
New
Postdoctoral Fellow I
$42K - $57K/yr
... a genome scale. The project, entitled "Decoding the Poultry-HPAI Interactome: An Integrative ... Experience in developing Machine Learning-based models and large-scale data analysis systems.
Postdoctoral Fellow I
$42K - $57K/yr
... a genome scale. The project, entitled "Decoding the Poultry-HPAI Interactome: An Integrative ... Experience in developing Machine Learning-based models and large-scale data analysis systems.
Evo was used to create the first AI gene therapy tool CRISPR-Cas9, and the first AI whole genome ... Build and optimize distributed training infrastructure for large-scale biological world models ...
New
Evo was used to create the first AI gene therapy tool CRISPR-Cas9, and the first AI whole genome ... Build and optimize distributed training infrastructure for large-scale biological world models ...
New
Postdoctoral Fellow I
$42K - $57K/yr
... a genome scale. The project, entitled "Decoding the Poultry-HPAI Interactome: An Integrative ... Experience in developing Machine Learning-based models and large-scale data analysis systems.
Postdoctoral Fellow I
$42K - $57K/yr
... a genome scale. The project, entitled "Decoding the Poultry-HPAI Interactome: An Integrative ... Experience in developing Machine Learning-based models and large-scale data analysis systems.
Specialist, Cell Line Engineering (READY Center) - Junior, Assistant, Associate, Full Specialist
San Francisco, CA · On-site
... modeling at scale. Success in this role will be defined by the ability to translate complex genome engineering concepts into reliable, production-level workflows that meet both research and ...
Specialist, Cell Line Engineering (READY Center) - Junior, Assistant, Associate, Full Specialist
San Francisco, CA · On-site
... modeling at scale. Success in this role will be defined by the ability to translate complex genome engineering concepts into reliable, production-level workflows that meet both research and ...
Associate Scientist - Bioinformatics V
$60 - $80.50/hr
G., Batch/HealthOmics), with cost aware scaling. Preferred Qualifications Deep genome assembly and/or annotation experience in non model organisms (repeat annotation and evidence driven gene ...
Associate Scientist - Bioinformatics V
$60 - $80.50/hr
G., Batch/HealthOmics), with cost aware scaling. Preferred Qualifications Deep genome assembly and/or annotation experience in non model organisms (repeat annotation and evidence driven gene ...
Bioinformatics Engineer
Foster City, CA · On-site
$80/hr
Key Responsibiliti es • Plan assembly approaches for non model organisms (data QC, genome ... toward chromosome scale, T2T quality result s. • Resolve haplotypes and complex ploidy ...
Bioinformatics Engineer
Foster City, CA · On-site
$80/hr
Key Responsibiliti es • Plan assembly approaches for non model organisms (data QC, genome ... toward chromosome scale, T2T quality result s. • Resolve haplotypes and complex ploidy ...
We are an interdisciplinary and collaborative team at the New York Genome Center (NYGC), with ... Implement, document, and scale these methods using robust programming tools and practices for ...
We are an interdisciplinary and collaborative team at the New York Genome Center (NYGC), with ... Implement, document, and scale these methods using robust programming tools and practices for ...
... aware scaling. Preferred Qualifications • Deep genome assembly and/or annotation experience in non model organisms (repeat annotation and evidence driven gene annotation is a plus). • ...
... aware scaling. Preferred Qualifications • Deep genome assembly and/or annotation experience in non model organisms (repeat annotation and evidence driven gene annotation is a plus). • ...
Building a full-stack virtual cell model to identify disease mechanisms and nominate drug targets ... Hands-on experience with pooled genome-scale CRISPR screening * Proficiency in single-cell immune ...
Building a full-stack virtual cell model to identify disease mechanisms and nominate drug targets ... Hands-on experience with pooled genome-scale CRISPR screening * Proficiency in single-cell immune ...
Building a full-stack virtual cell model to identify disease mechanisms and nominate drug targets ... Hands-on experience with pooled genome-scale CRISPR screening * Proficiency in single-cell immune ...
Building a full-stack virtual cell model to identify disease mechanisms and nominate drug targets ... Hands-on experience with pooled genome-scale CRISPR screening * Proficiency in single-cell immune ...
We are an interdisciplinary and collaborative team at the New York Genome Center (NYGC), with ... Implement, document, and scale these methods using robust programming tools and practices for ...
We are an interdisciplinary and collaborative team at the New York Genome Center (NYGC), with ... Implement, document, and scale these methods using robust programming tools and practices for ...
In collaboration with postdoctoral researchers and research scientists, the intern will engineer strains to validate physiological hypotheses generated by predictive models and/or genome-scale ...
In collaboration with postdoctoral researchers and research scientists, the intern will engineer strains to validate physiological hypotheses generated by predictive models and/or genome-scale ...
In collaboration with postdoctoral researchers and research scientists, the intern will engineer strains to validate physiological hypotheses generated by predictive models and/or genome-scale ...
In collaboration with postdoctoral researchers and research scientists, the intern will engineer strains to validate physiological hypotheses generated by predictive models and/or genome-scale ...
Research Assistant II in Invertebrate Genomics
Chicago, IL · On-site
$22.50/hr
Applicants should have experience with genome-scale sequencing of non-model organisms and command-line bioinformatics. The position also involves upkeep of laboratory equipment (e.g. centrifuges ...
Research Assistant II in Invertebrate Genomics
Chicago, IL · On-site
$22.50/hr
Applicants should have experience with genome-scale sequencing of non-model organisms and command-line bioinformatics. The position also involves upkeep of laboratory equipment (e.g. centrifuges ...
Responsibilities Cell Model Development and Differentiation * Establish and maintain iPSC and ... Genome Engineering and Cell Line Generation * Design and execute CRISPR-based editing strategies to ...
Quick apply
Responsibilities Cell Model Development and Differentiation * Establish and maintain iPSC and ... Genome Engineering and Cell Line Generation * Design and execute CRISPR-based editing strategies to ...
Senior Scientist, in vivo Pharmacology, Genetically Engineered Models - Comparative Medicine
$103K - $192K/yr
Summary We are seeking a highly motivated scientist to lead animal model creation efforts in a large-scale animal facility, working at the forefront of genome engineering and translational research ...
Senior Scientist, in vivo Pharmacology, Genetically Engineered Models - Comparative Medicine
$103K - $192K/yr
Summary We are seeking a highly motivated scientist to lead animal model creation efforts in a large-scale animal facility, working at the forefront of genome engineering and translational research ...
Senior Scientist, in vivo Pharmacology, Genetically Engineered Models - Comparative Medicine
$103K - $192K/yr
Band Level 3 Summary We are seeking a highly motivated scientist to lead animal model creation efforts in a large-scale animal facility, working at the forefront of genome engineering and ...
Senior Scientist, in vivo Pharmacology, Genetically Engineered Models - Comparative Medicine
$103K - $192K/yr
Band Level 3 Summary We are seeking a highly motivated scientist to lead animal model creation efforts in a large-scale animal facility, working at the forefront of genome engineering and ...
Genome Scale Model information
See salary details
$12.50 - $13.75
1% of jobs
$13.75 - $14.99
11% of jobs
$15.86 is the 25th percentile. Wages below this are outliers.
$14.99 - $16.24
19% of jobs
The median wage is $17.48 / hr.
$16.24 - $17.48
19% of jobs
$17.48 - $18.73
18% of jobs
$19.35 is the 75th percentile. Wages above this are outliers.
$18.73 - $19.97
14% of jobs
$19.97 - $21.22
6% of jobs
$21.22 - $22.47
3% of jobs
$22.47 - $23.71
3% of jobs
$23.71 - $24.96
2% of jobs
$24.96 - $26.20
3% of jobs
$12
$18
$26
How much do genome scale model jobs pay per hour?
As of Jun 23, 2026, the average hourly pay for genome scale model in the United States is $18.39, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $19.71 per hour, depending on experience, location, and employer.
What is a genome-scale model?
A genome-scale model is a computational representation of an organism's entire metabolic network, used by genome scale model specialists to analyze biological functions. These models help in understanding metabolic capabilities and are built using data from genomics, systems biology, and bioinformatics tools.
What are the key skills and qualifications needed to thrive as a Genome Scale Modeler, and why are they important?
To thrive as a Genome Scale Modeler, you need expertise in systems biology, computational modeling, and a strong background in molecular biology, often supported by a graduate degree in bioinformatics or a related field. Familiarity with modeling tools such as COBRA Toolbox, MATLAB, and databases like KEGG and BioCyc is typically required. Strong analytical thinking, attention to detail, and effective communication are valuable soft skills in this role. These competencies are crucial for accurately building and interpreting genome-scale models, driving biological insight, and collaborating with interdisciplinary research teams.
What are some common challenges faced when working as a Genome Scale Modeler, and how can they be addressed?
Genome Scale Modelers often encounter challenges such as integrating large, complex biological datasets and ensuring model accuracy. Working with incomplete or inconsistent data can make model validation and prediction difficult. Collaboration with experimental biologists and bioinformaticians is essential to refine models and interpret results. Staying updated with the latest computational tools and methodologies also helps address these challenges and enhances the quality of the models.
What are genome scale models?
Genome scale models (GSMs) are comprehensive computational representations of the metabolic and regulatory networks within an organism, constructed using its entire genome sequence. These models help scientists simulate and analyze biological processes, predict cellular behavior, and understand how genetic changes affect metabolism. GSMs are widely used in biotechnology, medicine, and systems biology for tasks such as metabolic engineering, drug discovery, and studying disease mechanisms.
What jobs work with gene editing?
Jobs that work with gene editing include roles such as genetic engineers, molecular biologists, and bioinformatics specialists. These positions involve using tools like CRISPR and other gene editing technologies in research, development, or clinical applications, often requiring laboratory skills and knowledge of genetics. Professionals in this field may work in biotech companies, research institutions, or healthcare settings.
What is genome-scale analysis?
Genome-scale analysis involves examining the entire genome of an organism to understand its structure, function, and interactions. In the context of a genome scale model, it typically includes constructing computational models that simulate metabolic or genetic networks using data from high-throughput sequencing and bioinformatics tools.
What occupation uses genome mapping?
Genomic researchers and bioinformaticians use genome mapping to analyze and interpret genetic data. These professionals often work in laboratories or research institutions, utilizing tools like DNA sequencing technologies and specialized software to study genetic structures and functions.
What is the difference between Genome Scale Model vs Bioinformatics Analyst?
| Aspect | Genome Scale Model | Bioinformatics Analyst |
|---|---|---|
| Required Credentials | Typically requires a PhD in computational biology, bioinformatics, or related fields | Often requires a Bachelor's or Master's in bioinformatics, biology, or related areas |
| Work Environment | Research labs, academic institutions, biotech companies | Healthcare, research institutions, biotech firms |
| Industry Usage | Used for systems biology, metabolic network analysis, and large-scale biological modeling | Used for data analysis, genome sequencing, and interpreting biological data |
While both roles involve computational biology, Genome Scale Models focus on constructing large-scale biological models, often requiring advanced degrees and specialized modeling skills. Bioinformatics Analysts typically handle data analysis and interpretation, with a broader range of educational backgrounds. Both are vital in biotech and research settings but serve different functions within the biological data ecosystem.
Member of Technical Staff, Senior Engineering Manager
San Francisco, CA • On-site
Full-time
This job post has expired today. Applications are no longer accepted.
Job description
About Us
Radical Numerics is an AI research lab building general biological intelligence. Our mission is to master the code of life, and our purpose is to reduce human suffering.
Our team created Evo, and started the field of generative genomics. Our work was featured on the cover of Science, and presented by our CEO on the main stage of TED2025. Evo was used to create the first AI gene therapy tool CRISPR-Cas9, and the first AI whole genome from scratch. Evo 2, featured in Nature, is the largest fully open source AI project across any domain.
Radical Numerics is bringing the rigor of distributed systems, model architecture, and numerics research to the challenges of biology. We've redesigned the foundation model training stack to turn the world's raw scientific data (e.g. biological sequences, experiments, and physical processes), into intelligible, generative models that can expand and accelerate what humanity can understand, design, and cure.
The same generative breakthroughs that enable life-saving cures also lowers the barrier to creating engineered threats and AI-generated bioweapons. We believe these forces are inseparable. Radical Numerics was founded to develop both the power to design and the responsibility to defend.
About the Role
We're hiring a Senior Engineering Manager to lead a team working across ML infrastructure, training systems, and research engineering in support of biological world models.
This is a hybrid leadership role for someone who can grow strong engineers, raise the quality bar, and help teams execute on technically ambitious work. You will partner closely with technical leads, researchers, and company leadership to set direction for critical systems and translate that direction into reliable, high-velocity execution.
This role combines management with technical depth. You should be comfortable leading senior engineers, helping shape system architectures and stepping into complex technical discussions when needed. The ideal candidate has experience in high-performance systems, distributed training, data infrastructure, or other environments where research velocity depends on strong engineering foundations.
What You'll Do
Radical Numerics is committed to equal employment opportunity and does not discriminate in any employment opportunities or practices based on an individual's race, color, creed, gender (including gender identity and gender expression), religion (all aspects of religious beliefs, observance or practice, including religious dress or grooming practices), marital status, registered domestic partner status, age, national origin or ancestry (including language use restrictions and possession of a driver's license issued under California Vehicle Code section 12801.9), natural hair, physical or mental disability, political affiliation, medical condition (including cancer or a record or history of cancer, and genetic characteristics), sex (including pregnancy, childbirth, breastfeeding or related medical condition), genetic information, sexual orientation, military and veteran status or any other consideration made unlawful by federal, state, or local laws. It also prohibits unlawful discrimination based on the perception that anyone has any of those characteristics, or is associated with a person who has or is perceived as having any of those characteristics.
Radical Numerics is an AI research lab building general biological intelligence. Our mission is to master the code of life, and our purpose is to reduce human suffering.
Our team created Evo, and started the field of generative genomics. Our work was featured on the cover of Science, and presented by our CEO on the main stage of TED2025. Evo was used to create the first AI gene therapy tool CRISPR-Cas9, and the first AI whole genome from scratch. Evo 2, featured in Nature, is the largest fully open source AI project across any domain.
Radical Numerics is bringing the rigor of distributed systems, model architecture, and numerics research to the challenges of biology. We've redesigned the foundation model training stack to turn the world's raw scientific data (e.g. biological sequences, experiments, and physical processes), into intelligible, generative models that can expand and accelerate what humanity can understand, design, and cure.
The same generative breakthroughs that enable life-saving cures also lowers the barrier to creating engineered threats and AI-generated bioweapons. We believe these forces are inseparable. Radical Numerics was founded to develop both the power to design and the responsibility to defend.
About the Role
We're hiring a Senior Engineering Manager to lead a team working across ML infrastructure, training systems, and research engineering in support of biological world models.
This is a hybrid leadership role for someone who can grow strong engineers, raise the quality bar, and help teams execute on technically ambitious work. You will partner closely with technical leads, researchers, and company leadership to set direction for critical systems and translate that direction into reliable, high-velocity execution.
This role combines management with technical depth. You should be comfortable leading senior engineers, helping shape system architectures and stepping into complex technical discussions when needed. The ideal candidate has experience in high-performance systems, distributed training, data infrastructure, or other environments where research velocity depends on strong engineering foundations.
What You'll Do
- Build and lead a strong engineering team. Hire selectively, mentor deeply, and maintain a high bar for execution and code quality.
- Own core infrastructure. Drive development of systems for large-scale model training and experimentation-training/inference, data pipelines, evals, and internal tools.
- Set technical direction. Make clear architectural tradeoffs (performance vs. speed vs. flexibility), and guide where to invest vs. keep things simple.
- Accelerate research. Improve reproducibility, observability, and debugging to enable faster iteration and more reliable experiments.
- Stay close to the work. Partner tightly with researchers and step into design, debugging, and ambiguous problems when needed.
- Track record leading engineering teams in technically demanding environments, ideally where infrastructure and research are closely linked.
- Experience managing senior engineers and enabling high-autonomy teams.
- Strong background in distributed systems, data systems, developer platforms, or similarly complex technical areas.
- Ability to work credibly with researchers and senior engineers on system architectures, prioritization, and execution.
- Strong technical judgment, especially around tradeoffs, sequencing, and operating under ambiguity.
- Comfortable staying close to the work, including going deep on design or debugging when needed.
- Excellent communication skills and the ability to align stakeholders across engineering, research, and science.
- High standards for rigor, speed, and practical decision-making.
- Familiarity with large-scale pre-training and model serving workflows, multimodal data, and research platforms.
- Experience in companies or teams where engineering supported frontier research or fast-moving technical R&D.
- Track record of hiring and developing engineering leaders in addition to individual contributors.
- Help build the multimodal biological world models needed for rapid detection, response, and countermeasures across global health.
- Work on foundational engineering problems at the intersection of AI systems, large-scale model training, and biology.
- Join a collaborative culture that values rigor, creativity, and cross-disciplinary partnership across AI labs, biotechs, hospital systems, and research institutes.
- Competitive compensation, comprehensive benefits, and support for continual learning.
Radical Numerics is committed to equal employment opportunity and does not discriminate in any employment opportunities or practices based on an individual's race, color, creed, gender (including gender identity and gender expression), religion (all aspects of religious beliefs, observance or practice, including religious dress or grooming practices), marital status, registered domestic partner status, age, national origin or ancestry (including language use restrictions and possession of a driver's license issued under California Vehicle Code section 12801.9), natural hair, physical or mental disability, political affiliation, medical condition (including cancer or a record or history of cancer, and genetic characteristics), sex (including pregnancy, childbirth, breastfeeding or related medical condition), genetic information, sexual orientation, military and veteran status or any other consideration made unlawful by federal, state, or local laws. It also prohibits unlawful discrimination based on the perception that anyone has any of those characteristics, or is associated with a person who has or is perceived as having any of those characteristics.