ZipRecruiter

Log In

1

Transcriptomics Jobs in San Pablo, CA (NOW HIRING)

Buck Institute

AI Data Scientist-Furman lab

Novato, CA · On-site

$60K - $75K/yr

Transcriptomics, including single-cell and bulk RNA-seq * Proteomics * Metabolomics * Epigenetics and biological aging clocks * Clinical and phenotypic datasets * Survey data * Integrative multi ...

Valius Sciences

Head/VP of Engineering

San Francisco, CA · On-site

$250K - $350K/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 Scientist

San Francisco, CA · On-site

$107K - $147K/yr

Generate high-quality datasets using approaches including confocal imaging, transcriptomics, proteomics, flow cytometry, and functional assays. * Analyze and synthesize complex biological data to ...

previous page

Showing results 41-60

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 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?

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.

Clinical Translational Scientist

Valius Sciences

San Francisco, CA • On-site

$130K - $200K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 28 days ago

Job description

Valius overview
At Valius, we believe that the future of cancer care will be defined by "maximalist" diagnostics: deep, comprehensive assessments of DNA, RNA, and protein designed to give patients and their care teams the best possible understanding of how their tumor works and what its vulnerabilities are.
We're building the diagnostics and bioinformatics company to power this future, starting by applying this approach to patients with challenging cancers. In our first year, we worked with over 75 of these patients and, in many cases, identified plausible therapeutic targets which had not been discovered previously. 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 care for the very first time.
We've just raised a $13.5M seed round, led by 8VC and Basis Set Ventures, and are looking for people passionate about changing cancer care to join our growing team.
Clinical translational scientist role
We're hiring a clinical translational scientist (senior/principal scientist) to work directly with our patients and their care teams to translate complex molecular profile data into clear, evidence-based treatment options. This is a non-traditional translational scientist role: you'll operate at the intersection of oncology, molecular genomics, and clinical evidence interpretation, delivering high-trust guidance that is scientifically rigorous, clinically grounded, and compassionate.
This role will be expected to work out of our beautiful San Francisco office four days a week.
You may come from a variety of backgrounds, but you should have:
  • Strong oncology fluency across modalities and tumor types
  • A deep understanding of the oncology therapeutic landscape
  • Expert ability to interpret clinical trial evidence and apply it to real-world patient contexts
  • Exceptional communication skills with patients, clinicians, and scientists across disciplines

What you'll do
  • Develop treatment strategies: Prioritize SOC, trials, and other therapeutic options (including off-label/expanded access when appropriate) based on patient molecular data.
  • Interpret evidence with rigor: Synthesize trial data, biomarker subgroup performance, design limitations, and real-world feasibility to evaluate therapeutic options; communicate uncertainty transparently with patients.
  • Partner with computational biology: Work with our computational biologists to integrate and synthesize patient molecular data (tissue/liquid; variants, expression, scRNAseq, IHC/mIF as relevant).
  • Collaborate internally: Work with clinical, scientific, and product teams to deliver expert analysis to our patients and help develop Valius's scientific offering.
  • Contribute to internal knowledge bases: Draft therapy/biomarker evidence summaries, indication briefs, trial digests, and interpretation playbooks for use by the scientific team.

What you'll bring
  • Advanced degree or equivalent experience in a relevant discipline (with substantial oncology experience). An exceptional fit may be considered even in the absence of an advanced degree
  • Deep understanding of oncology therapeutics (targeted therapy, immuno-oncology, ADCs, resistance, sequencing, tumor-type nuance)
  • Demonstrated strength interpreting clinical trial evidence and explaining clinical relevance (including biomarker subgroups)
  • Ability to reason from molecular data to therapy hypotheses while respecting evidence strength, contraindications, and real-world practice patterns
  • Excellent written and verbal communication; ability to present confidently to clinicians and speak clearly with patients
  • Comfort working in a high-stakes, client-facing setting
  • Comfort working with ambiguity and evolving evidence in fast-moving therapeutic areas
  • Commitment to our patient-focused mission
  • Interest in working for a small, early-stage startup

What we'll bring
  • Competitive salary and equity compensation
  • Generous refresh grants
  • Comprehensive benefits (health, dental, vision, 401(k))
  • Genuine investment in your professional development
  • Fun, mission-driven team culture

Apply