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Senior Plant Genome Editing Jobs (NOW HIRING)

$48K - $65K/yr

... Cas9 genome editing, organoids, and single-cell genomics to study the molecular and genetic ... investigator or Senior Research Scientists. Appointment is a maximum of 7 years in length.

Research Faculty Senior management: Vice President for Research Department: Fralin Biomedical Res ... The project integrates mouse and iPSC models, CRISPR genome editing, molecular biology, flow ...

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Senior Plant Genome Editing information

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$32K

$65.4K

$124.5K

How much do senior plant genome editing jobs pay per year?

As of Sep 3, 2026, the average yearly pay for senior plant genome editing in the United States is $65,380.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,000.00 and $74,000.00 per year, depending on experience, location, and employer.

What is the difference between Senior Plant Genome Editing vs Plant Molecular Biologist?

AspectSenior Plant Genome EditingPlant Molecular Biologist
Required CredentialsAdvanced degree in plant science, genetics, or related field; experience with genome editing tools like CRISPRDegree in plant biology, molecular biology, or related; research experience in plant gene expression
Work EnvironmentLaboratories focused on genetic modification, biotech companies, research institutionsAcademic labs, research institutions, biotech companies
Employer & Industry UsageBiotech firms, agricultural companies, research institutesUniversities, research institutes, biotech companies

Senior Plant Genome Editing specialists focus on applying genome editing technologies like CRISPR to modify plant genomes, often working on developing new crop varieties. Plant Molecular Biologists study plant genes and molecular processes, often conducting fundamental research. While both roles require a strong background in plant genetics, Senior Plant Genome Editing emphasizes technical genome editing skills, whereas Plant Molecular Biology emphasizes understanding gene function and expression.

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Cities with the most Senior Plant Genome Editing job openings:

What are the most commonly searched types of Plant Genome Editing jobs?

The most popular types of Plant Genome Editing jobs are:

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Infographic showing various Senior Plant Genome Editing job openings in the United States as of August 2026, with employment types broken down into 89% Full Time, 6% Part Time, 2% Contract, and 3% Nights. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $65,380 per year, or $31.4 per hour.

Scientist/Senior Scientist (Genomic Analysis)

Preventive

South San Francisco, CA โ€ข On-site

$110K - $150K/yr

Full-time

Re-posted 2 days ago


Job description

About Preventive
Preventive is a public benefit corporation developing next-generation reproductive-genetics platforms to eliminate severe genetic disease at its origin. Our mission is to determine whether the newest generation of gene editing technologies can be used safely and responsibly to correct devastating genetic conditions for future children. If proven to be safe, we believe preventive gene editing could be one of the most important health technologies of the century.
About the role
Preventive is hiring a Scientist or Senior Scientist to lead genomic analysis across wet-lab experimentation and computational pipelines. You will design, execute, and analyze ultra-low-input NGS experiments from heterogeneous, multi-species samples with emphasis on epigenetic characterization and comprehensive safety/off-target profiling. The role spans low-input method development, specialized library prep, and computational analysis.
Key Responsibilities
  • Characterization of edited samples: Execute plate-based single-cell/low-input NGS (e.g., Smart-seq3/Smart-seq2; plate-based scATAC/CUT&Tag; EMseq2) for genomic, epigenomic, and transcriptomic profiling of very small, heterogeneous samples where droplet methods are infeasible.
  • Computational analysis: Build and maintain reproducible analysis pipelines; perform QC, UMI handling, multi-genome alignment, ambient RNA/doublet removal, batch correction/integration, differential analysis, trajectory/RNA velocity; support cross-species analyses (liftover/custom references).
  • Biological interpretation: Design, defend and execute analyses of high-dimension NGS datasets to identify and validate perturbations from baseline biology; design experiments and benchmarks to compare strengths and limitations of NGS-based assays.
  • Safety / off-target profiling: Genome-wide assessment of edited samples via WGS (short/long-read); call SNVs/indels/SVs/CNVs and quantify mosaicism/allele-specific edits.
  • Experimental design & wet lab: Partner with genome-editing teams on controls and study design; design guides/donors; perform cloning and trace-input library prep with rigorous QC and documentation.

Qualifications
Minimum qualifications
  • BS+ and 4+ years in a relevant field (we care more about your demonstrable experience than your formal education).
  • Fluency in R or Python; experience analyzing NGS data (alignment, QC, variant calling) and building reproducible workflows.
  • Demonstrated expertise with low-input/single-cell assays (e.g., scRNA-seq, epigenomic profiling, long-read).
  • Proficiency in molecular biology (library prep, cloning, PCR/qPCR, nucleic-acid QC) and sterile mammalian cell culture.
Preferred qualifications
  • One or more of the following:
    • End-to-end off-target discovery/validation for gene-edited samples in preclinical studies, leading to submission to regulatory bodies
    • Single-cell analysis beyond defaults (batch correction, trajectory/velocity, doublet/ambient handling in low-cell-number datasets).
    • Genome-wide variant analysis for edited samples (SNVs/indels/SVs/CNVs; low-VAF mosaic detection; integration-site mapping) and epigenomic characterization.
    • Experience with very early developmental or gamete samples across species.
    • Spatial transcriptomics/epigenomics
  • Previous experience in a startup environment (comfort with fast cycles, evolving priorities, and cross-functional collaboration).