ZipRecruiter

Log In

1

Transcriptomics Jobs in San Jose, 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 ...

Transcripta Bio

Scientist, Drug Discovery

Palo Alto, CA · On-site

... transcriptomics, causal human genetics, and pre-validated chemistry to identify and advance drug candidates with a structural edge over conventional approaches. We are looking for a Scientist to ...

Transcripta Bio

Scientist, Drug Discovery

Palo Alto, CA · On-site

... transcriptomics, causal human genetics, and pre-validated chemistry to identify and advance drug candidates with a structural edge over conventional approaches. We are looking for a Scientist to ...

Next Matter

Scientist, Drug Discovery

Palo Alto, CA · On-site

... transcriptomics, causal human genetics, and pre-validated chemistry to identify and advance drug candidates with a structural edge over conventional approaches. We are looking for a Scientist to ...

next page

Showing results 1-20

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 Sep 15, 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.

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

Other

Posted 24 days ago

Job description

We are hiring! Our ideal candidates are self-motivated individuals who have clearly demonstrated a passion for scientific research. This is a fantastic opportunity to join a small team, work on transformative science, and build an exciting, science-driven company. Neurona is proud to be an equal opportunity employer and will consider all qualified applicants for employment.

Position:Research Associate (Single Cell Transcriptomics)

Location: South San Francisco, CA

Job Id:360

# of Openings:1

Research Associate (Single Cell Transcriptomics)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.

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.

Neurona Therapeutics
490 Forbes Blvd, Suite 600
South San Francisco, CA 94080
info@neuronatx.com

#J-18808-Ljbffr

Apply