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Transcriptomics Jobs in El Sobrante, 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 ...

Aequor

Associate Scientist

South San Francisco, CA · On-site

Experience with single-cell sequencing and spatial transcriptomics is also valuable. Histology experience is preferred but is considered more flexible than NGS experience. The candidate should at ...

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 ...

Aequor

Associate Scientist

South San Francisco, CA · On-site

... transcriptomics, proteomics, imaging, and cytometry-based assays • Make actionable decisions as a technical expert • Collaborate closely with other team members on experimental design and ...

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Showing results 1-20

All JobsTranscriptomics JobsTranscriptomics Jobs in El Sobrante, CA

Transcriptomics information

See El Sobrante, CA salary details

$52.8K

$219.3K

$431.2K

How much do transcriptomics jobs pay per year?

As of Aug 4, 2026, the average yearly pay for transcriptomics in El Sobrante, CA is $219,350.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,600.00 and $431,200.00 per year, depending on experience, location, and employer.

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 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 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 El Sobrante, CA are hiring for Transcriptomics jobs? Cities near El Sobrante, CA with the most Transcriptomics job openings:
Transcriptomics jobs near you
Infographic showing various Transcriptomics job openings in El Sobrante, 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 $219,350 per year, or $105.5 per hour.

Bioinformatics Scientist (Discovery Biology)

Neurona Therapeutics

South San Francisco, CA • On-site

Full-time

Re-posted 20 days ago

Job description

Job Summary:
Neurona Therapeutics is a clinical stage biotechnology company focused on the development of neuronal cell-based therapies for neurological diseases. They are seeking a talented Bioinformatics Data Scientist to expand and optimize their single cell transcriptomics and multiomics workflows, collaborating with R&D scientists to enhance pipeline capabilities for biomarker discovery and product development.
Responsibilities:
• Implement and optimize bioinformatics workflows for efficient and accurate single cell RNA sequencing data analysis
• Collaborate and communicate extensively with multidisciplinary teams within and across departments to conceptualize, execute and analyze experiments in support of internal studies and external collaborations
• Integrate novel cutting-edge tools and analytical approaches into existing pipelines
• Contribute to infrastructure and workflow improvements
• Build and maintain platforms for data visualization
• Maintain detailed records up to industry standards for reproducible computing (data, code, and environments)
• Prepare results for internal meetings, grant and patent applications, scientific publications, and regulatory filings
Qualifications:
Required:
• PhD degree (or MS + 3 years of experience working in biotech or life sciences) in Bioinformatics, Computer Science, Computer Engineering, Computational Biology, Data Science, Genetics or related field
• Demonstrated track record, including research publications, working with NGS pipelines
• Strong understanding and extensive experience with single-cell RNA-sequencing analysis principles, from alignment, assembly, reference mapping, to annotation and visualization
• Solid foundation in molecular biology and hands-on experience with Illumina sequencing
• Proficiency in R, Python or similar language, and ability to implement open-source packages
• Experience with large-scale multiomic data processing, storage, and visualization strategies
• Competency to read and incorporate newly published approaches for analysis
• Willingness to expand skill set and contribute to emerging needs in a highly dynamic start-up environment
• High integrity, great organization and ability to multitask while working within fast-paced timelines
• Excellent written and verbal communication skills
• Collaborative team player with a problem-solver mindset
• Ability to work independently, take ownership over problems and take initiative to improve work processes, develop innovative scientific methodologies and approaches to enhance research productivity
Preferred:
• Experience with single cell ATACseq and spatial transcriptomics
• General multiomics expertise: genomics, transcriptomics, epigenomics, chromatin dynamics
• Experience building intuitive web tools for bioinformatics analysis
• Foundational knowledge of neuroscience, stem cell biology, and developmental biology
• Familiarity with in vitro directed differentiation paradigms from pluripotent stem cells (especially along the neuronal lineage), and molecular characterization of derived cell types
• 1+ years of wet lab experience is a plus
Company:
Neurona Therapeutics is a biotherapeutics company that focuses on developing cell-based therapies to address neurological disorders. Founded in 2008, the company is headquartered in South San Francisco, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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