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Transcriptomics Jobs in San Pablo, CA (NOW HIRING)

Valius Sciences

Computational Biologist

San Francisco, CA · On-site

$125K - $185K/yr

This coming year, we're on track to scale our patient volume significantly, all while bringing new diagnostic modalities (e.g., single-cell transcriptomics) and analytical approaches into clinical ...

Vivodyne

Senior Bioinformatician

San Francisco, CA · On-site

We are expanding our capabilities to generate high-throughput -omics data across automated human tissue models, with a primary focus on single-cell and bulk transcriptomics, secretomics, and ...

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All JobsTranscriptomics JobsTranscriptomics Jobs in San Pablo, CA

Transcriptomics information

See San Pablo, CA salary details

$55.2K

$229.3K

$450.8K

How much do transcriptomics jobs pay per year?

As of Aug 26, 2026, the average yearly pay for transcriptomics in San Pablo, CA is $229,294.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,500.00 and $450,800.00 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 cities near San Pablo, CA are hiring for Transcriptomics jobs?

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

Transcriptomics jobs near you
Infographic showing various Transcriptomics job openings in San Pablo, CA as of June 2026, with employment types broken down into 91% Full Time, 7% Part Time, and 2% Contract. Highlights an 94% Physical, 4% Hybrid, and 2% Remote job distribution, with an average salary of $229,294 per year, or $110.2 per hour.

Research Associate (Single Cell Transcriptomics)

South San Francisco, CA • On-site

Neurona Therapeutics
Biotechnology Research and Development • 11 - 50 employees
Learn more about Neurona Therapeuticsexternal

Full-time

Posted 4 days ago

Job description

Research Associate (Single Cell Transcriptomics)
Location: South San Francisco, CA, 94080
Responsibilities
  • Design, plan and execute experiments using single cell RNA sequencing pipeline from sample preparation and capture to NGS sequencing library preparation and QC with high precision
  • Prepare single cell and single nuclei samples for next-generation sequencing (NGS) and other applications
  • Conduct fluorescence and/or magnetic-activated cell sorting experiments
  • Help optimize and improve workflow, and streamline processes
  • Collect, organize, and manage sample inventory
  • Organize and maintain detailed experimental records in accordance with industry standards
  • Manage reagent inventory and equipment calibration/maintenance
  • Collaborate with multidisciplinary teams and colleagues
  • Analyze data, interpret and present results at team meetings
  • Support other Discovery projects involving human neuronal cell culture and cell-based assays
Required Qualifications
  • BS or MS degree in Biology, Molecular/Cell Biology or related field
  • Experience with single cell NGS sample prep workflow (cell capture using microfluidics, cDNA and library preparation, QC and sequencing)
  • Experience with flow cytometry and fluorescence activated and/or magnetic cell sorting (FACS/MACS)
  • Familiarity with DNA/RNA library QC techniques (Tapestation, Bioanalyzer, Qubit, etc.)
  • Working knowledge of standard molecular biology techniques (PCR, qPCR, gel electrophoresis, DNA/RNA extraction)
  • Strong organizational and analytical skills
  • Willingness to perform repetitive tasks with high accuracy and superb attention to detail
  • Willingness to learn and expand skill set and contribute to emerging needs in a highly dynamic start-up environment
  • Ability to multitask while working within fast-paced timelines
  • High integrity, excellent written, verbal and interpersonal communication skills
  • Strong team player and problem-solver, able to work on teams and independently
Preferred Qualifications
  • 2+ years of relevant hands on laboratory experience in academia or industry
  • Familiarity with single-cell RNA sequencing data analysis
  • Familiarity with histochemical techniques and basic microscopy
  • Experience with sterile human stem cell and neuronal cell culture
  • Basic knowledge of stem cell biology and neurodevelopmental biology

We are open to hiring at various experience levels. The final job title and compensation will be determined by the candidate's qualifications and experience.
Alert
We are aware of active recruitment scams using the Neurona name, where individuals pose as our recruiters or post fake remote job openings and make fraudulent job offers online. Please note, that we will never make an offer of employment without conducting multiple rounds of face-to-face interviews using secure video-conferencing technology. Additionally, we will never ask candidates to cash checks or make any payment to be considered for a position.
If you believe you have been a victim of a phishing scam, please visit the Cybersecurity & Infrastructure Security Agency (CISA) at https://www.cisa.gov/be-cyber-smart/report-incident to learn how to report it.
This job description is not intended to be exhaustive and may evolve as business needs change. Duties, responsibilities, and activities may be modified or assigned at any time with or without notice.

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