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Transcriptomics Jobs in San Jose, CA (NOW HIRING)

nudge

Histotechnologist

San Francisco, CA · On-site

Prepare and process samples for spatial omics platforms, including multiplexed protein imaging and spatial transcriptomics, with both RNA- and protein-based tagging approaches * Develop, optimize ...

KenkoTech Futures

AI Scientist

Santa Clara, CA · On-site

The team is developing large-scale multimodal foundation models across biological data modalities - including single-cell genomics, transcriptomics, DNA, RNA and proteins - to create universal ...

KenkoTech Futures

AI Scientist

Alameda, CA · On-site

The team is developing large-scale multimodal foundation models across biological data modalities - including single-cell genomics, transcriptomics, DNA, RNA and proteins - to create universal ...

KenkoTech Futures

AI Scientist

Sunnyvale, CA · On-site

The team is developing large-scale multimodal foundation models across biological data modalities - including single-cell genomics, transcriptomics, DNA, RNA and proteins - to create universal ...

KenkoTech Futures

AI Scientist

Hayward, CA · On-site

The team is developing large-scale multimodal foundation models across biological data modalities - including single-cell genomics, transcriptomics, DNA, RNA and proteins - to create universal ...

KenkoTech Futures

AI Scientist

Fremont, CA · On-site

The team is developing large-scale multimodal foundation models across biological data modalities - including single-cell genomics, transcriptomics, DNA, RNA and proteins - to create universal ...

KenkoTech Futures

AI Scientist

San Jose, CA · On-site

The team is developing large-scale multimodal foundation models across biological data modalities - including single-cell genomics, transcriptomics, DNA, RNA and proteins - to create universal ...

KenkoTech Futures

AI Scientist

San Mateo, CA · On-site

The team is developing large-scale multimodal foundation models across biological data modalities - including single-cell genomics, transcriptomics, DNA, RNA and proteins - to create universal ...

KenkoTech Futures

AI Scientist

San Francisco, CA · On-site

The team is developing large-scale multimodal foundation models across biological data modalities - including single-cell genomics, transcriptomics, DNA, RNA and proteins - to create universal ...

GenBio AI

Staff / Principal Software Engineer

Palo Alto, CA · On-site

$250K - $350K/yr

Domain knowledge or prior experience working with computational biology, genomics, transcriptomics, protein/molecular structures, healthcare, or scientific software. * Familiarity with building tools ...

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Showing results 41-60

All JobsTranscriptomics JobsTranscriptomics Jobs in San Jose, CA

Transcriptomics information

See San Jose, CA salary details

$57.4K

$238.5K

$468.8K

How much do transcriptomics jobs pay per year?

As of Aug 22, 2026, the average yearly pay for transcriptomics in San Jose, CA is $238,462.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,000.00 and $468,800.00 per year, depending on experience, location, and employer.

What is transcriptomics?

Transcriptomics is the study of the complete set of RNA transcripts produced by the genome under specific circumstances or in a specific cell. It provides insights into gene expression patterns, how genes are regulated, and how cells respond to various conditions. By analyzing the transcriptome, researchers can better understand biological processes, disease mechanisms, and identify potential targets for therapy. Technologies such as RNA sequencing (RNA-seq) are commonly used in transcriptomics research.

What are some common challenges faced by professionals working in transcriptomics, and how can they be addressed?

Professionals in transcriptomics frequently encounter challenges such as handling large and complex datasets, ensuring data quality, and staying current with rapidly evolving analytical tools and technologies. Working closely with bioinformaticians and statisticians is essential for effective data analysis and interpretation. Additionally, clear communication and collaboration with wet-lab biologists and clinicians help bridge the gap between raw data and meaningful biological insights. Regular training and professional development can help transcriptomics professionals stay updated with the latest best practices and software advancements.

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

To thrive as a Transcriptomics Scientist, you need a strong background in molecular biology, genomics, and bioinformatics, typically supported by an advanced degree in a relevant field. Familiarity with next-generation sequencing (NGS) platforms, RNA-seq analysis pipelines, and programming languages like R or Python is essential. Attention to detail, problem-solving abilities, and effective communication skills set outstanding candidates apart. These competencies are vital for generating accurate transcriptomic data, interpreting complex results, and collaborating within multidisciplinary research teams.

What is the difference between Transcriptomics vs Bioinformatics?

AspectTranscriptomicsBioinformatics
Required credentialsBachelor's or Master's in Biology, Genetics, or related fields; experience with sequencing technologiesBachelor's or Master's in Computer Science, Bioinformatics, or related fields; programming skills
Work environmentLaboratories, research institutions, biotech companiesResearch labs, biotech firms, academic institutions, data analysis centers
Industry usageGenomics, molecular biology, medical researchData analysis, software development, computational biology

While both Transcriptomics and Bioinformatics involve analyzing biological data, Transcriptomics focuses on studying gene expression profiles using sequencing technologies, whereas Bioinformatics encompasses a broader range of computational methods to analyze various biological datasets. Professionals in both fields often collaborate but have distinct skill sets and work environments.

What are popular job titles related to Transcriptomics jobs in San Jose, CA?

For Transcriptomics jobs in San Jose, CA, the most frequently searched job titles are:

What job categories do people searching Transcriptomics jobs in San Jose, CA look for?

The top searched job categories for Transcriptomics jobs in San Jose, CA are:

What cities near San Jose, CA are hiring for Transcriptomics jobs?

Cities near San Jose, CA with the most Transcriptomics job openings:

Transcriptomics jobs near you
Infographic showing various Transcriptomics job openings in San Jose, CA as of June 2026, with employment types broken down into 95% Full Time, 3% Part Time, and 2% Contract. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution, with an average salary of $238,462 per year, or $114.6 per hour.

Scientist (Gene Editing)

Preventive

South San Francisco, CA • On-site

Full-time

Re-posted 15 days ago

Job description

About Preventive Medicine
Preventive is a public benefit corporation developing reproductive genetics technologies aimed at preventing severe inherited disease before birth. We are testing whether the latest gene editing tools can safely and responsibly correct disease-causing mutations in early embryos. Our goal is to build the evidence base needed to determine whether this approach can one day help families avoid devastating genetic conditions.
About the role
We are seeking a hands-on experimentalist to help build and optimize next-generation gene editing systems for reproductive genetics. The role will focus on prime and base editing, with work spanning cell-based optimization, molecular biology, and embryo-relevant assay development.
We care first and foremost that you are hard-working, high-aptitude, and have clearly demonstrated this through your prior work. Given the novelty of our platform, we expect that some specialized techniques will require training. What matters most is that you learn quickly, execute carefully, and take ownership of difficult experiments. Title and scope will be calibrated to experience.
Key Responsibilities
  • Optimize prime and base editing systems in mammalian cells and embryo-relevant models including protein and guide engineering
  • Execute molecular biology workflows, including cloning, PCR/qPCR, amplicon prep, and sequencing-based analysis.
  • Measure editing efficiency, byproducts, mosaicism, specificity, and off-target activity.
  • Support NGS and single-cell workflows to characterize editing outcomes and embryo-relevant biology.
  • Translate cell-based editing results into oocyte, zygote, and embryo experiments.
  • Work across molecular biology, genomics, embryology, and in vivo teams to solve technical problems.

Qualifications
Minimum qualifications
  • BS or higher in a relevant field (we care more about your experience than your formal education)
  • 2+ years of industry experience in biotechnology.
  • Demonstrated gene editing experience with next-generation platforms (prime and/or base editing).
  • Strong molecular biology skills.
  • Proficiency in mammalian tissue culture, including sterile technique and basic cell-based assays.
  • Clear evidence of strong work ethic, high aptitude, and ownership in previous roles or projects.
Preferred qualifications
  • Depth in one or more of the following areas:
    • Embryo, oocyte, zygote, IVF, ICSI, or early-development biology experience.
    • Protein engineering, including editor optimization, construct design, stability/activity improvement, or structure-guided engineering.
    • Protein purification and biochemical characterization of editing systems.
    • Single-cell genomics or transcriptomics, including sample prep, library construction, or data interpretation.
    • Gene editing to generate animal models, including design, screening, and validation with in vivo teams.
  • Previous experience in a startup environment (comfort with fast cycles, evolving priorities, and cross-functional collaboration)

Apply