1

Transcriptomics Jobs in California (NOW HIRING)

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 ...

Bulk/single-cell transcriptomics * Epidemiological & Statistical Rigor: Strong background in observational study design, association testing, confounding control, and time-to-event modeling on ...

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 ...

Showing results 41-60

Transcriptomics information

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 in California are hiring for Transcriptomics jobs?

Cities in California with the most Transcriptomics job openings:

Infographic showing various Transcriptomics job openings in California as of August 2026, with employment types broken down into 100% Full Time. Highlights an 89% In-person, and 11% Hybrid job distribution.

Scientist 3- Translational Medicine (Multiple Sclerosis & TR focused)

South San Francisco, CA • On-site

Genentech, Inc.
Scientific Research and Development Services • 10K+ employees

$100K - $186K/yr

Full-time

Re-posted 8 days ago


Genentech rating

7.8

Company rating: 7.8 out of 10

Based on 23 frontline employees who took The Breakroom Quiz


Job description

We advance science so that we all have more time with the people we love.
The Translational Medicine OMNI department at Genentech provides the scientific and strategic framework to inform clinical development across Ophthalmology, Metabolism, Neuroscience, and Immunology. Our research encompasses biomarker discovery, personalized healthcare strategies, and clinical translational research to study the molecular pathways driving disease. Within Multiple Sclerosis (MS), our team leverages human clinical biospecimens, deep molecular phenotyping, and computational approaches to evaluate disease heterogeneity, advance novel target understanding, and ensure that every clinical decision is grounded in robust translational science.
The Opportunity:
We are seeking a talented and highly motivated Scientist 3 to join Genentech's Translational Medicine OMNI team in South San Francisco. The successful candidate will contribute to the MS translational research program by integrating human clinical data with advanced molecular profiling and omics technologies to drive biomarker discovery and disease biology insights. This role sits at the intersection of clinical development and translational science - the ideal candidate is comfortable working with clinical biospecimens, interpreting high-dimensional datasets, and contributing findings that directly inform clinical trial design and molecule progression.
As an integral member of our dynamic team, you will:
  • Contribute to the discovery and validation of MS disease biomarkers and therapeutic targets by integrating human clinical sample data with molecular phenotyping and multi-omics approaches.
  • Design and execute translational research experiments using clinical biospecimens (e.g., CSF, PBMCs, whole blood, serum) to investigate mechanisms of disease heterogeneity, target engagement, and disease progression relevant to MS.
  • Analyze and interpret high-dimensional datasets from clinical samples, including single-cell RNA-seq, CITE-seq, bulk RNA-seq, spatial transcriptomics, and/or proteomics, to generate translational insights that support clinical development.
  • Support biomarker strategy and execution for MS clinical trials, including evaluation of pharmacodynamic markers, patient stratification approaches, and disease-relevant endpoints.
  • Collaborate cross-functionally with Clinical Development, Bioanalytical Assay Development, Biostatistics, and Computational Biology to build cohesive biological narratives from clinical trial data.
  • Contribute to the development of clinical study documents, including biomarker sections of Clinical Protocols, Investigator's Brochures, and internal governance materials.
  • Communicate research findings through internal presentations, project team updates, and contributions to peer-reviewed publications and external scientific conferences. Partner with external collaborators, academic institutions, and consortia to advance MS translational research programs.

Who You Are
  • Hold a PhD in Neuroscience, Neuroimmunology, Immunology, Functional Genomics, or a closely related field, with a strong record of scientific achievement with at least 3 years of relevant postdoctoral or industry experience in translational research, MS biology, or neuroimmunology.
  • Possess hands-on experience working with human clinical biospecimens (e.g., CSF, PBMCs, whole blood) and familiarity with the translational research workflows associated with clinical sample analysis.
  • Demonstrate proficiency in multi-omics technologies and familiarity with analysis and interpretation of high-dimensional datasets, such as scRNA-seq, CITE-seq, spatial transcriptomics, bulk RNA-seq, or proteomics.
  • Have working knowledge of biomarker development principles and an ability to connect molecular findings to clinical questions such as dose selection, patient stratification, or target engagement.
  • Are able to independently design, execute, and interpret translational experiments with strong scientific rigor and attention to data quality.
  • Exhibit strong written and oral communication skills, as evidenced by publications and/or scientific presentations. Demonstrate effective organization, ability to manage multiple priorities, and comfort working in a fast-paced, cross-functional environment across global teams.
  • Be collaborative, intellectually curious, and motivated by the challenge of translating complex biology into clinical insight for patients with MS.

Relocation benefits are not available for this posting.
The expected salary range for this position based on the primary location of California is $100,400 -186,400. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.
Benefits
Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.
If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.

What Genentech employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Genentech logo

About Genentech

Sourced by ZipRecruiter

A member of the Roche Group, Genentech has been at the forefront of the biotechnology industry for more than 40 years, using human genetic information to develop novel medicines for serious and life-threatening diseases. Genentech has multiple therapies on the market for cancer & other serious illnesses. Please take this opportunity to learn about Genentech where we believe that our employees are our most important asset & are dedicated to remaining a great place to work.

Industry

Scientific research and development services

Company size

10,000+ Employees

Headquarters location

South San Francisco, CA, US

Year founded

1976

Social media