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Genome Scale Model Jobs (NOW HIRING)

Bristol Myers Squibb

Senior Scientist

San Diego, CA · On-site

$97K - $132K/yr

Lead the genome engineering and cell line development platform, managing upstream cell line ... Develop novel cell-based SAR assays and mechanistic models supporting E3 ubiquitin ligase-mediated ...

New York University

Post Doctorate Associate

New York, NY · On-site

$65K - $70K/yr

We have developed a genome engineering platform (REWRITE) that enables scarless, large-scale ... The primary project for this position is SynThyTune, our synthetic thymus platform for modeling ...

Mount Sinai Hospital

Post Doctoral Fellow-MSH

New York, NY · On-site

$53K - $72K/yr

... multi-omics modeling with a specific interest in complex human diseases. This work will have a ... scale whole-genome and exome-scale data on patients linked to medical record data, and deeply ...

Mount Sinai Hospital

Postdoctoral Fellow-MSH

New York, NY · On-site

$53K - $72K/yr

... multi-omics modeling with a specific interest in complex human diseases. This work will have a ... scale whole-genome and exome-scale data on patients linked to medical record data, and deeply ...

Mount Sinai Hospital

Postdoctoral Fellow-MSH

New York, NY · On-site

$53K - $72K/yr

... multi-omics modeling with a specific interest in complex human diseases. This work will have a ... scale whole-genome and exome-scale data on patients linked to medical record data, and deeply ...

Uw

Research Scientist/Engineer 2, SeaHub

Seattle, WA · On-site

$90K/yr

The Department of Genome Sciences has an outstanding opportunity for a Research Scientist Engineer ... models and large-scale DNA synthesis to program desired gene expression patterns in mammalian ...

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Genome Scale Model information

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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?

AspectGenome Scale ModelBioinformatics Analyst
Required CredentialsTypically requires a PhD in computational biology, bioinformatics, or related fieldsOften requires a Bachelor's or Master's in bioinformatics, biology, or related areas
Work EnvironmentResearch labs, academic institutions, biotech companiesHealthcare, research institutions, biotech firms
Industry UsageUsed for systems biology, metabolic network analysis, and large-scale biological modelingUsed 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.

Infographic showing various Genome Scale Model job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 92% Full Time, 3% Part Time, 1% Temporary, and 3% Contract. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution, with an average salary of $38,242 per year, or $18.4 per hour.

Scientist II - Sr. Scientist, CRISPR Specificity & Genomic Safety

Profluent

Emeryville, CA

$40.75 - $51.25/hr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 20 days ago

Job description

Profluent is an AI-first protein design company. Founded in 2022, we develop deep generative models to design and validate novel, functional proteins to revolutionize biomedicine. Based in Emeryville, CA, we are backed by leading investors including Altimeter Capital, Bezos Expeditions, Spark Capital, Insight Partners, Air Street Capital, AIX Ventures, and Convergent Ventures, and have raised over $150M to date.
Profluent is seeking a creative and enthusiastic Scientist II - Sr. Scientist to build and apply experimental workflows that characterize the specificity, safety, and developability of our personalized CRISPR base editing platform. This role will initially focus on establishing and scaling base-editor specificity workflows, including biochemical and cell-based approaches such as CHANGE-seq-BE and related methods for identifying DNA and RNA off-target activity. In the longer term, the candidate will spearhead off-target assessments for novel gene editing platforms such as engineered recombinases.
The candidate will work closely with protein engineering, cell biology, bioinformatics, automation, and program teams to generate decision-quality datasets that guide editor design, candidate selection, and therapeutic program development. This person will be responsible for benchmarking assays, interpreting NGS-based specificity data, identifying limitations and opportunities across methods, and building robust workflows that can be deployed across editing modalities and disease-relevant contexts.
This is an excellent opportunity to shape how AI-designed genome editing systems are evaluated and advanced, and to work cross-functionally with a diverse team of experts across machine learning, protein engineering, cell biology, genomics, and gene editing.
Responsibilities
  • Build and lead Profluent's strategy for base editor specificity assessment, with an emphasis on base-editor-relevant off-target discovery and validation workflows such as CHANGE-Seq-BE and related biochemical, cell-based, and targeted sequencing approaches
  • Develop, optimize, benchmark, and apply orthogonal methods to evaluate editing specificity, including workflows for base editors, nucleases, and broader genomic integrity assessment across relevant experimental systems
  • Design and execute studies to identify, prioritize, and validate potential off-target editing events, integrating assay development, NGS library preparation, sequencing QC, and data interpretation in partnership with computational biology and program teams
  • Generate high-quality, decision-enabling datasets that inform editor engineering, guide/editor selection, delivery conditions, candidate nomination, and program development strategy
  • Collaborate cross-functionally with protein engineering, cell biology, gene editing, bioinformatics, automation, and program teams to integrate specificity workflows into Profluent's broader R&D infrastructure
  • Establish robust experimental processes, documentation, and analysis frameworks to support reproducibility, scalability, assay qualification, and potential regulatory-facing genomic safety packages
  • Present results and clearly communicate experimental strategy, timelines, risks, milestones, and program implications to diverse scientific and company stakeholders
  • Provide mentorship and guidance to junior team members and peers, helping align goals, troubleshoot experiments, and maintain high standards for execution and interpretation
  • Stay current with emerging technologies in CRISPR specificity, base editing, off-target discovery, targeted validation, genomic integrity assessment, and therapeutic genome editing

Qualifications
  • PhD (or equivalent) in molecular biology, genomics, genome editing, biochemistry, bioengineering, genetics, chemical biology, or a related field with 2-4 years of relevant industry experience in genome editing specificity and genomic safety assessment
  • Deep expertise and hands-on experience with CRISPR-based genome editing systems, particularly base editors, and a strong understanding of modality-specific specificity risks such as DNA off-target editing, RNA off-target editing, bystander editing, indels, and unintended editing outcomes
  • Hands-on experience developing, optimizing, or applying NGS-based workflows for genome editing analysis, such as CHANGE-seq, CHANGE-seq-BE, GUIDE-seq, SITE-seq, CIRCLE-seq, Digenome-seq, DISCOVER-seq, INDUCE-seq, targeted amplicon sequencing, rhAmpSeq/AmpSeq-like workflows, hybrid capture, RNA-seq, WGS, or related approaches
  • Strong experimental background in molecular biology, mammalian cell culture, genome editing reagent delivery, NGS library preparation, assay troubleshooting, and quantitative analysis of editing outcomes
  • Experience interpreting complex sequencing datasets and collaborating with bioinformatics or computational biology teams to analyze off-target discovery, targeted validation, variant calling, RNA editing, indel profiles, or genomic integrity data
  • Ability to design rigorous experiments with appropriate controls, replicates, sensitivity considerations, and clear decision criteria
  • Experience with high-throughput or semi-automated workflows, process development, assay qualification, data tracking, and reproducible execution in a fast-paced research environment
  • High level of attention to detail and commitment to generating high-quality, decision-enabling data
  • Experience with cross-functional collaboration in a biotechnology setting, particularly with protein engineering, cell biology, computational biology, translational, or program teams
  • Excellent communication skills and ability to present complex scientific concepts, datasets, limitations, and recommendations to colleagues and stakeholders
  • Strong track record of managing complex projects, mentoring junior scientists, and driving workstreams from exploratory development through implementation

Preferences
  • Experience with therapeutic genome editing programs and genomic safety packages for candidate nomination, IND-enabling studies, or regulatory-facing documentation
  • Experience working with disease-relevant primary cells, ex vivo edited cells, iPSC-derived systems, or other therapeutically relevant model systems
  • Familiarity with ML-guided enzyme engineering campaigns and how specificity datasets can inform editor design, model evaluation, and candidate prioritization
  • Expertise in protein purification of genome editors for use in biochemical off-target assays

What We Offer
  • High-growth opportunity with meaningful impact on the future of protein design
  • Competitive compensation package with equity participation
  • 401(k) with a strong employer match
  • Comprehensive benefits including health/dental/vision insurance
  • Generous PTO policy and commitment to work-life balance
  • Professional development opportunities in a cutting-edge field at the intersection of AI and biology

Profluent Bio, Inc is an equal opportunity employer promoting diversity and inclusion in the workspace. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical conditions, veteran status, sexual orientation, gender (including gender identity and gender expression), sex (which includes pregnancy, childbirth, and breastfeeding), genetic information, taking or requesting statutorily protected leave, or any other basis protected by law.
Work Authorization Requirement
Applicants must have ongoing work authorization in the United States that does not require employer sponsorship. Sponsorship will not be provided now or at any time in the future for this position.
Employment Eligibility Verification
Legal authorization to work in the United States is required. In compliance with federal law, all persons hired must verify their identity and work eligibility and complete the required employment verification form upon hire.
Hiring Salary Range
$147,000-$177,000 USD

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