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Single Cell Rna Sequencing Analysis Jobs (NOW HIRING)

Lead secondary projects involving single-cell RNA sequencing and spatial transcriptomics. * Perform raw-data processing, quality assessment, normalization, statistical analysis, biological ...

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How much do single cell rna sequencing analysis jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for single cell rna sequencing analysis in the United States is $35.51, according to ZipRecruiter salary data. Most workers in this role earn between $29.09 and $40.38 per hour, depending on experience, location, and employer.

What is single cell RNA sequencing analysis?

Single cell RNA sequencing analysis is a technique used to study gene expression at the level of individual cells. Unlike bulk RNA sequencing, which provides average gene expression across many cells, single cell analysis allows researchers to observe the diversity and heterogeneity among individual cells within a tissue or sample. This method is particularly useful for identifying rare cell types, understanding developmental processes, and uncovering the molecular mechanisms underlying diseases. The analysis involves isolating single cells, sequencing their RNA, and then using computational tools to interpret the data.

What are the key skills and qualifications needed to thrive as a single cell RNA sequencing analyst?

To thrive as a Single Cell RNA Sequencing Analyst, you need a strong background in molecular biology, bioinformatics, and data analysis, usually supported by an advanced degree in a relevant field. Familiarity with analytical tools such as Seurat, Scanpy, R, and Python, as well as experience with sequencing platforms and pipelines, is typically required. Strong problem-solving skills, attention to detail, and effective communication are vital soft skills for interpreting complex datasets and collaborating with scientific teams. These competencies are crucial for generating high-quality insights from single-cell data, driving research discoveries, and supporting experimental success.

What are some common challenges faced when analyzing single-cell RNA sequencing data, and how can they be addressed?

One of the main challenges in single-cell RNA sequencing (scRNA-seq) analysis is dealing with the high dimensionality and sparsity of the data, as many genes may not be detected in every cell. Additionally, batch effects and technical variability can complicate data integration from multiple experiments or platforms. To address these issues, analysts often use specialized normalization techniques, batch correction algorithms, and dimensionality reduction methods such as PCA or t-SNE. Collaborating closely with wet-lab scientists and bioinformaticians helps ensure that both biological and technical factors are appropriately considered throughout the analysis process.
Infographic showing various Single Cell Rna Sequencing Analysis job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $73,866 per year, or $35.5 per hour.

Scientist 2, Neuroscience Discovery & iPSC Assay Development

South San Francisco, CA • On-site

Genentech
Scientific Research and Development Services • 10K+ employees

$85K - $158K/yr

Full-time

Re-posted 12 days ago


Genentech rating

8.8

Company rating: 8.8 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

12th of 86 rated pharmaceutical


Job description

The Opportunity

We are seeking a highly motivated and collaborative Scientist 2, Neuroscience Discovery & iPSC Assay Development to advance discovery research and drug development efforts within our Neuroscience team. In this role, you will leverage human induced pluripotent stem cells (iPSCs) to generate relevant central nervous system (CNS) cell models, execute functional assays, and support disease-relevant phenotyping. You will thrive in a fast-paced, matrix environment, bringing strong scientific rigor, a proactive problem-solving mindset, and a commitment to data quality and reproducibility.

Key Responsibilities:

  • Perform culture, banking, and quality control of human iPSCs, and differentiate iPSCs into CNS cell lineages (neurons, glia) following established protocols.

  • Manage and maintain routine primary neuronal cultures to support comparative and complementary functional studies.

  • Design, optimize, and execute robust cell-based assays supporting neuroscience pipeline programs, implementing new technology platforms when needed.

  • Support genetic and pharmacological proof-of-concept studies through precise execution of experimental workflows.

  • Generate, analyze, and document complex experimental data with a focus on high reproducibility, maintaining accurate Electronic Lab Notebook (ELN) records.

  • Present scientific findings and actionable insights to multidisciplinary project teams via reports, presentations, and team discussions.

  • Oversee iPSC lab operations, ensuring efficient shared reagent management, equipment maintenance, and adherence to safety protocols.

Who You Are

You are a curious, detail-oriented researcher who thrives in a collaborative scientific environment and is passionate about leveraging advanced cell models to transform neuroscience discovery.

Qualifications & Experience:

  • Bachelor's degree in Cell Biology, Molecular Biology, Neuroscience, or a related field with 6+ years of laboratory experience, OR a Master's degree with 4+ years of experience in iPSC and mammalian cell culture (industry or academia).

  • Demonstrated technical proficiency in human iPSC maintenance, banking, quality control, and directed differentiation into CNS cell types (neurons, microglia, astrocytes, or oligodendrocytes).

  • Hands-on expertise in molecular biology, advanced optical imaging, biochemistry, molecular profiling, and executing plate-based or high-content imaging assays.

  • Strong skills in independent experimental design, organization, critical thinking, and written/verbal communication.

  • Preferred: Familiarity or hands-on experience with CRISPR/Cas9 gene editing, arrayed/pooled CRISPR screens, or single-cell RNA sequencing (scRNA-seq) workflows.

Preferred Qualifications

  • Hands-on experience with CRISPR/Cas9 editing in iPSCs (guide design, RNP/lentiviral/transfection delivery, clone isolation, and genomic validation).

  • Experience with arrayed or pooled CRISPR screens (library preparation, transduction, NGS sample prep).

  • Familiarity with single-cell RNA sequencing (scRNA-seq) workflows and data interpretation using R and/or Python.

Relocation benefits are available for this job posting.

The expected salary range for this position based on the primary location of South San Francisco, CA is $85,500 to $158,700. 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.


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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

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