Software Engineer
San Francisco, CA · On-site
... transcriptomics, RNA biology, or other -omics data. • Experience shipping software into regulated, security-sensitive, or air-gapped environments. • Previous work in an early-stage, fast-paced ...
Software Engineer
San Francisco, CA · On-site
... transcriptomics, RNA biology, or other -omics data. • Experience shipping software into regulated, security-sensitive, or air-gapped environments. • Previous work in an early-stage, fast-paced ...
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 ...
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 ...
Bioinformatics Engineer, Pipelines
San Francisco, CA · On-site
$150K - $200K/yr
These workflows include microarray, imaging, spatial transcriptomics, genomics, epigenomics, flow cytometry, and more. This role sits at the center of our technical stack. You will architect Nextflow ...
Bioinformatics Engineer, Pipelines
San Francisco, CA · On-site
$150K - $200K/yr
These workflows include microarray, imaging, spatial transcriptomics, genomics, epigenomics, flow cytometry, and more. This role sits at the center of our technical stack. You will architect Nextflow ...
Responsibilities : • Build and maintain bioinformatics pipelines for genomics, transcriptomics, and other -omics data • Write clean, reproducible analysis code in Python and/or R • Set up and ...
Responsibilities : • Build and maintain bioinformatics pipelines for genomics, transcriptomics, and other -omics data • Write clean, reproducible analysis code in Python and/or R • Set up and ...
Bioinformatics Engineer, Pipelines
San Francisco, CA · On-site
$150K - $200K/yr
These workflows include microarray, imaging, spatial transcriptomics, genomics, epigenomics, flow cytometry, and more. This role sits at the center of our technical stack. You will architect Nextflow ...
Quick apply
Bioinformatics Engineer, Pipelines
San Francisco, CA · On-site
$150K - $200K/yr
These workflows include microarray, imaging, spatial transcriptomics, genomics, epigenomics, flow cytometry, and more. This role sits at the center of our technical stack. You will architect Nextflow ...
We study human and mouse model inflammatory skin diseases on the single-cell level (single cell RNA-sequencing, spatial transcriptomics, and highly multiplexed immunofluorescence) to further ...
We study human and mouse model inflammatory skin diseases on the single-cell level (single cell RNA-sequencing, spatial transcriptomics, and highly multiplexed immunofluorescence) to further ...
Responsibilities : • Design and maintain production grade bioinformatics pipelines for a wide range of data modalities, including microarray, cell painting, WGS and WES, spatial transcriptomics ...
Responsibilities : • Design and maintain production grade bioinformatics pipelines for a wide range of data modalities, including microarray, cell painting, WGS and WES, spatial transcriptomics ...
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 ...
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 ...
Single-cell genomics or transcriptomics, including sample prep, library construction, or data interpretation. * Gene editing to generate animal models, including design, screening, and validation ...
Single-cell genomics or transcriptomics, including sample prep, library construction, or data interpretation. * Gene editing to generate animal models, including design, screening, and validation ...
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 ...
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 ...
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 ...
Quick apply
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 ...
AI Data Engineer - Scientific Data Platforms (Remote)
South San Francisco, CA · On-site +1
$35 - $38/hr
WES; genomics vs. transcriptomics vs. proteomics vs. metabolomics). * Comfortable writing unit and functional tests to ensure data processing workflows are reliable and reproducible. * Degree in a ...
AI Data Engineer - Scientific Data Platforms (Remote)
South San Francisco, CA · On-site +1
$35 - $38/hr
WES; genomics vs. transcriptomics vs. proteomics vs. metabolomics). * Comfortable writing unit and functional tests to ensure data processing workflows are reliable and reproducible. * Degree in a ...
BioMedical AI Research Engineer
South San Francisco, CA · On-site
$227K - $295K/yr
Experience working with large-scale biomedical datasets (genomics, transcriptomics, clinical records, or scientific corpora). Preferred * Experience designing autonomous research assistants or AI ...
BioMedical AI Research Engineer
South San Francisco, CA · On-site
$227K - $295K/yr
Experience working with large-scale biomedical datasets (genomics, transcriptomics, clinical records, or scientific corpora). Preferred * Experience designing autonomous research assistants or AI ...
Principal Scientist, Translational Oncology - Single Cell and Spatial Genomics, Solid Tumors
San Francisco, CA · On-site
... transcriptomics, or multiomics platforms; experience building or scaling these capabilities in an organizational context is strongly preferred Strong publication and/or patent record reflecting ...
Principal Scientist, Translational Oncology - Single Cell and Spatial Genomics, Solid Tumors
San Francisco, CA · On-site
... transcriptomics, or multiomics platforms; experience building or scaling these capabilities in an organizational context is strongly preferred Strong publication and/or patent record reflecting ...
Director, Small Molecule Discovery Biology (Inflammation & Autoimmunity)
San Francisco, CA · On-site
$200K - $240K/yr
Awareness of methods for compound screening, characterizing mechanism of action, transcriptomics, and proteomics * Familiarity with autoimmune disease biology including in vitro and in vivo ...
Director, Small Molecule Discovery Biology (Inflammation & Autoimmunity)
San Francisco, CA · On-site
$200K - $240K/yr
Awareness of methods for compound screening, characterizing mechanism of action, transcriptomics, and proteomics * Familiarity with autoimmune disease biology including in vitro and in vivo ...
Scientist/Senior Scientist (Genomic Analysis)
South San Francisco, CA · On-site
$110K - $150K/yr
Spatial transcriptomics/epigenomics * Previous experience in a startup environment (comfort with fast cycles, evolving priorities, and cross-functional collaboration)
Scientist/Senior Scientist (Genomic Analysis)
South San Francisco, CA · On-site
$110K - $150K/yr
Spatial transcriptomics/epigenomics * Previous experience in a startup environment (comfort with fast cycles, evolving priorities, and cross-functional collaboration)
Senior Director, Artificial Intelligence
Foster City, CA · On-site
$288K - $330K/yr
Experience working with foundation models for single-cell transcriptomics. * The estimated base salary range for this position is $288,000- $330,000/year. Within the range, individual pay is ...
Senior Director, Artificial Intelligence
Foster City, CA · On-site
$288K - $330K/yr
Experience working with foundation models for single-cell transcriptomics. * The estimated base salary range for this position is $288,000- $330,000/year. Within the range, individual pay is ...
Full-stack Software Engineer
San Francisco, CA · On-site
$200K - $300K/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 ...
Full-stack Software Engineer
San Francisco, CA · On-site
$200K - $300K/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 ...
Hands-on experience building and validating classifiers on high-dimensional, low-sample-size biological data (proteomics, glycoproteomics, transcriptomics, or genomics) * Experience with batch-effect ...
Hands-on experience building and validating classifiers on high-dimensional, low-sample-size biological data (proteomics, glycoproteomics, transcriptomics, or genomics) * Experience with batch-effect ...
Head/VP of Engineering
San Francisco, CA · On-site
$180 - $300/hr
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 ...
Head/VP of Engineering
San Francisco, CA · On-site
$180 - $300/hr
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 ...
Transcriptomics information
See San Pablo, CA salary details
$77.2K is the 25th percentile. Wages below this are outliers.
$55.2K - $91.2K
41% of jobs
The median wage is $106.6K / yr.
$91.2K - $127.1K
21% of jobs
$127.1K - $163.1K
12% of jobs
$163.8K is the 75th percentile. Wages above this are outliers.
$163.1K - $199.1K
24% of jobs
$199.1K - $235K
1% of jobs
$235K - $271K
0% of jobs
$271K - $306.9K
0% of jobs
$306.9K - $342.9K
0% of jobs
$342.9K - $378.9K
0% of jobs
$378.9K - $414.8K
0% of jobs
$414.8K - $450.8K
0% of jobs
$55.2K
$229.3K
$450.8K
How much do transcriptomics jobs pay per year?
As of Aug 10, 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 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?
| Aspect | Transcriptomics | Bioinformatics |
|---|---|---|
| Required credentials | Bachelor's or Master's in Biology, Genetics, or related fields; experience with sequencing technologies | Bachelor's or Master's in Computer Science, Bioinformatics, or related fields; programming skills |
| Work environment | Laboratories, research institutions, biotech companies | Research labs, biotech firms, academic institutions, data analysis centers |
| Industry usage | Genomics, molecular biology, medical research | Data 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:
Full-time
Re-posted 7 days ago
Job description
Job Summary:
Blank Bio is an applied AI research lab focused on increasing the success rates of clinical trials. They are seeking a Software Engineer to own engineering systems that support research and product surfaces, working closely with ML engineers and research scientists.
Responsibilities:
• Build and maintain our benchmarking infrastructure for evaluating models against the tasks that matter clinically.
• Containerize training, evaluation, and inference workloads so they run identically anywhere we ship them, including air-gapped partner environments.
• Build the data pipelines and internal tooling that scientists use day to day, from raw RNA-seq through preprocessing, QC, and result delivery.
• Build the inference services partners use to run our models against their own data.
Qualifications:
Required:
• 3+ years of experience shipping production systems
• Strong proficiency in Python
• Experience with Docker and container orchestration, including debugging complex or hard-to-reproduce build and deployment issues.
• Experience owning services end-to-end, from system design and implementation through deployment, monitoring, on-call support, and long-term maintenance.
• Experience building APIs or tools that make models accessible to other engineers, scientists, or customers
Preferred:
• Familiarity with transcriptomics, RNA biology, or other -omics data.
• Experience shipping software into regulated, security-sensitive, or air-gapped environments.
• Previous work in an early-stage, fast-paced environment.
Company:
Blank Bio is an applied AI research company developing RNA foundation models that analyze biological sequence data for therapeutic research. Founded in 2025, the company is headquartered in San Francisco, USA, with a team of 2-10 employees. The company is currently Early Stage.
Blank Bio is an applied AI research lab focused on increasing the success rates of clinical trials. They are seeking a Software Engineer to own engineering systems that support research and product surfaces, working closely with ML engineers and research scientists.
Responsibilities:
• Build and maintain our benchmarking infrastructure for evaluating models against the tasks that matter clinically.
• Containerize training, evaluation, and inference workloads so they run identically anywhere we ship them, including air-gapped partner environments.
• Build the data pipelines and internal tooling that scientists use day to day, from raw RNA-seq through preprocessing, QC, and result delivery.
• Build the inference services partners use to run our models against their own data.
Qualifications:
Required:
• 3+ years of experience shipping production systems
• Strong proficiency in Python
• Experience with Docker and container orchestration, including debugging complex or hard-to-reproduce build and deployment issues.
• Experience owning services end-to-end, from system design and implementation through deployment, monitoring, on-call support, and long-term maintenance.
• Experience building APIs or tools that make models accessible to other engineers, scientists, or customers
Preferred:
• Familiarity with transcriptomics, RNA biology, or other -omics data.
• Experience shipping software into regulated, security-sensitive, or air-gapped environments.
• Previous work in an early-stage, fast-paced environment.
Company:
Blank Bio is an applied AI research company developing RNA foundation models that analyze biological sequence data for therapeutic research. Founded in 2025, the company is headquartered in San Francisco, USA, with a team of 2-10 employees. The company is currently Early Stage.