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Transcriptomics Jobs in Los Angeles, CA (NOW HIRING)

Bioinformatics Analyst - CA

Irvine, CA ยท On-site

$70K - $85K/yr

A highly motivated scientist with broad expertise and experience in bioinformatics, computational biology, transcriptomics, proteomics and multi-omics would be an ideal fit for this position. Roles ...

Bioinformatics Analyst - CA

Irvine, CA ยท On-site

$70K - $85K/yr

A highly motivated scientist with broad expertise and experience in bioinformatics, computational biology, transcriptomics, proteomics and multi-omics would be an ideal fit for this position. Roles ...

APPLIED POST DOC FELLOW

Long Beach, CA ยท On-site

$51K - $69K/yr

Training opportunities emphasize solid tumors and hematologic malignancies across histology, IHC, multiplex IF, spatial proteomics/transcriptomics, and data-driven pathology. Position Highlights: The ...

Showing results 41-60

Transcriptomics information

See Los Angeles, CA salary details

$52.8K

$219.2K

$431K

How much do transcriptomics jobs pay per year?

As of Aug 22, 2026, the average yearly pay for transcriptomics in Los Angeles, CA is $219,239.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,600.00 and $431,000.00 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 Los Angeles, CA?

For Transcriptomics jobs in Los Angeles, CA, the most frequently searched job titles are:

What job categories do people searching Transcriptomics jobs in Los Angeles, CA look for?

The top searched job categories for Transcriptomics jobs in Los Angeles, CA are:

What cities near Los Angeles, CA are hiring for Transcriptomics jobs?

Cities near Los Angeles, CA with the most Transcriptomics job openings:

Infographic showing various Transcriptomics job openings in Los Angeles, CA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $219,239 per year, or $105.4 per hour.

Postdoctoral Research Fellow Stem Cell Biology and Human iPSC Engineering

Terasaki Institute

Woodland Hills, CA โ€ข On-site

$51K - $70K/yr

Full-time

Posted 9 days ago


Job description

We are seeking a highly motivated early-career Postdoctoral Research Fellow with strong, hands-on expertise in human induced pluripotent stem cell (iPSC) biology. This position is best suited for a recent PhD graduate or researcher within approximately three years of completing their PhD who is interested in developing iPSC-based platforms for regenerative medicine, disease modeling, and translational research.

Direct experimental expertise with human iPSCs is the primary requirement for this position. General mammalian cell culture, molecular biology, or biomaterials experience is desirable but will not substitute for substantial hands-on experience maintaining, expanding, differentiating, and characterizing human iPSCs.

Required Qualifications

Applicants must have:

  • A PhD in stem cell biology, developmental biology, cell biology, molecular biology, biomedical sciences, bioengineering, or a closely related field
  • A PhD completed recently, preferably within the past three years
  • Demonstrated hands-on experience with human iPSC culture, including feeder-free maintenance, passaging, expansion, cryopreservation, recovery, and routine troubleshooting
  • Experience developing, optimizing, or executing directed differentiation protocols for human iPSCs
  • Experience assessing pluripotency, differentiation efficiency, cellular identity, purity, viability, and functional phenotype using molecular and cellular assays
  • Knowledge of iPSC quality control, including morphology, mycoplasma testing, genomic stability, contamination prevention, and line-to-line or batch-to-batch variability
  • A strong publication record relevant to stem cell biology, iPSC differentiation, developmental biology, tissue engineering, or regenerative medicine
  • Strong experimental, analytical, written, and oral communication skills

Preferred Qualifications

Experience with one or more of the following is preferred:

  • CRISPR-Cas genome editing, transfection or nucleofection, single-cell cloning, clone screening, and validation of edited iPSC lines
  • Differentiation of human iPSCs into hepatic, endothelial, epithelial, immune, or other therapeutically relevant lineages
  • Three-dimensional iPSC culture, embryoid bodies, spheroids, organoids, co-culture systems, or tissue-engineered constructs
  • Suspension or aggregate-based iPSC expansion, bioreactor culture, scale-up, or process development
  • Single-cell analysis, transcriptomics, high-content imaging, functional assays, or advanced flow cytometry
  • Biomaterials, hydrogels, bioprinting, microfluidics, or GMP-aligned and translational cell-therapy workflows

Responsibilities

The successful candidate will:

  • Maintain, expand, cryopreserve, recover, and quality-control human iPSC lines
  • Develop, optimize, and reproduce directed differentiation protocols for selected cell lineages
  • Generate and characterize gene-edited or otherwise engineered iPSC lines, when required by the project
  • Establish robust assays for pluripotency, lineage identity, purity, viability, maturation, and cellular function
  • Investigate and troubleshoot variability related to iPSC lines, culture conditions, differentiation batches, and experimental scale-up
  • Design and execute independent research studies and analyze and interpret experimental data
  • Prepare manuscripts, presentations, reports, protocols, and grant-related materials
  • Collaborate with multidisciplinary teams of stem cell biologists, engineers, immunologists, and clinicians
  • Mentor junior researchers and contribute to laboratory organization, quality systems, and shared iPSC workflows

Important Applicant Guidance

This position requires substantial direct experimental experience with human iPSCs. Applications focused primarily on general mammalian cell culture, cancer cell lines, mesenchymal stem cells, molecular biology, computational biology, clinical research, or biomaterials without sustained hands-on human iPSC experience will not be considered.

Applicants should clearly describe their personal contributions to iPSC maintenance, expansion, cryopreservation, differentiation, genome editing or clonal work, quality control, and phenotypic or functional characterization in their cover letter and curriculum vitae.

Brief exposure to iPSCs through coursework, collaboration, use of pre-differentiated commercial cells, or occasional maintenance of an established line does not by itself meet the experience requirement.

Candidates whose experience is limited to routine culture without independently optimizing differentiation, troubleshooting iPSC quality, or interpreting lineage-specific outcomes are unlikely to be competitive.