ZipRecruiter

Log In

1

Genomic Analyst Jobs in California (NOW HIRING)

Inocras Inc

Bioinformatics Engineer

San Diego, CA · On-site

$100K - $140K/yr

In this role, you will analyze large-scale genomic data and help build the cloud-native systems that operationalize it--turning bioinformatics methods, WGS pipelines, and AI proof-of-concepts into ...

Guardant Health

Staff Business Analyst

Palo Alto, CA

$72K - $96K/yr

Ensure clarity of needs and objectives specific to genomic data analytics and real-world clinical outcomes. * Product Partnership: Operate as part of the product and engineering team, owning the ...

Guardant Health

Staff Business Analyst

Palo Alto, CA · On-site

$72K - $96K/yr

Ensure clarity of needs and objectives specific to genomic data analytics and real-world clinical outcomes. * Product Partnership: Operate as part of the product and engineering team, owning the ...

10x Genomics

Senior Compensation Analyst

Pleasanton, CA · On-site

$145K - $196K/yr

We are seeking a Senior Compensation Analyst to join our People Team at 10x Genomics. This person will be supporting and administering compensation programs and initiatives, including best-in-class ...

LatchBio

AI Biologist - Variant

San Francisco, CA · On-site +1

$120K - $180K/yr

About the Role You'll design, build, and evaluate LLM benchmarks for genomic analysis - spanning read alignment, assembly, variant calling, GWAS, causal inference, and multiomics integration. Your ...

next page

Showing results 1-20

All JobsGenomic Analyst JobsGenomic Analyst Jobs in California

Genomic Analyst information

What is a genomic analyst?

A Genomic Analyst is a professional who specializes in analyzing and interpreting genomic data to understand genetic variations and their impact on health, disease, or traits. They use advanced bioinformatics tools and techniques to process DNA, RNA, and other molecular data, often working in research, clinical, or pharmaceutical settings. Genomic Analysts collaborate with scientists, clinicians, and other healthcare professionals to provide insights that can inform patient care, drug development, or further research. Their work is essential for advancing personalized medicine and understanding the genetic basis of diseases.

What are the key skills and qualifications needed to thrive as a genomic analyst, and why are they important?

To thrive as a Genomic Analyst, you need a solid background in genetics, bioinformatics, and data analysis, often supported by a degree in biology, genomics, or a related field. Familiarity with next-generation sequencing (NGS) platforms, genomic databases, and tools like Python, R, and specialized software such as GATK or IGV is essential. Strong problem-solving skills, attention to detail, and effective communication are crucial soft skills for interpreting data and collaborating with interdisciplinary teams. These abilities are vital for ensuring accurate genomic data interpretation, driving research, and supporting clinical decision-making.

What are some common challenges genomic analysts face when interpreting large-scale sequencing data?

Genomic Analysts often encounter challenges related to managing and interpreting massive datasets generated by next-generation sequencing technologies. Ensuring data quality, distinguishing meaningful genetic variants from background noise, and integrating information from multiple data sources require strong analytical and computational skills. Collaborating closely with bioinformaticians, laboratory scientists, and clinicians is essential to validate findings and translate them into actionable insights. Staying current with evolving tools and best practices is also key to overcoming these challenges.

What is the difference between Genomic Analyst vs Bioinformatics Technician?

AspectGenomic AnalystBioinformatics Technician
Required CredentialsBachelor's or Master's in Genetics, Biology, or related field; experience with genomic data analysisAssociate's or Bachelor's in Bioinformatics, Computer Science, or related field; basic data analysis skills
Work EnvironmentLaboratories, research institutions, biotech companiesComputing labs, research facilities, biotech firms
Employer & Industry UsageResearch labs, healthcare, biotech industryResearch institutions, biotech companies, hospitals
Common Search & Comparison IntentUnderstanding roles in genomic data analysisEntry-level bioinformatics roles in genomics

The Genomic Analyst typically has advanced education and handles complex data interpretation, while the Bioinformatics Technician often supports data processing and basic analysis. Both roles are vital in genomics research but differ in responsibilities and experience requirements.

Does genomics pay well?

Genomic analysts typically earn competitive salaries that vary based on experience, education, and location. Entry-level positions may start around $50,000 annually, while experienced professionals with advanced skills and certifications can earn over $100,000 per year. The field offers strong growth potential due to increasing demand for genomic research and personalized medicine.

How much does a genomic analyst make?

The average salary for a genomic analyst in the United States ranges from $60,000 to $90,000 per year, depending on experience, education, and location. Entry-level positions typically start around $50,000, while experienced analysts with specialized skills can earn over $100,000 annually.

What are popular job titles related to Genomic Analyst jobs in California?

For Genomic Analyst jobs in California, the most frequently searched job titles are:

What job categories do people searching Genomic Analyst jobs in California look for?

The top searched job categories for Genomic Analyst jobs in California are:

What cities in California are hiring for Genomic Analyst jobs?

Cities in California with the most Genomic Analyst job openings:

Genomic Analyst jobs near you
Infographic showing various Genomic Analyst job openings in California as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Scientist/Senior Scientist (Genomic Analysis)

Preventive

South San Francisco, CA • On-site

$110K - $150K/yr

Full-time

Re-posted 29 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).

Apply