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Single Cell Rna Sequencing Analysis Jobs (NOW HIRING)

New York Genome Center

Research Technician II

Manhattan, NY · On-site

$19.75 - $27.25/hr

Perform single-cell and multi-omic workflows, including single-cell RNA sequencing, single-cell ... Basic familiarity with sequencing quality-control metrics or analysis environments such as R ...

New York Genome Center

Research Technician II

New York, NY · On-site

$19.75 - $27/hr

Perform single-cell and multi-omic workflows, including single-cell RNA sequencing, single-cell ... Basic familiarity with sequencing quality-control metrics or analysis environments such as R ...

Tufts University

Computational Biologist

Medford, MA · On-site

$74K - $111K/yr

Demonstrated experience analyzing single-cell RNA-sequencing data. Advanced proficiency in R and/or Python. Strong grounding in statistics, experimental design, reproducible analysis, and scientific ...

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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.

Research Associate (Single Cell Transcriptomics)

South San Francisco, CA • On-site

Neurona Therapeutics
Biotechnology Research and Development • 11 - 50 employees
Learn more about Neurona Therapeuticsexternal

Full-time

Posted 18 days ago

Job description

Research Associate (Single Cell Transcriptomics)
Location: South San Francisco, CA, 94080
Responsibilities
  • Design, plan and execute experiments using single cell RNA sequencing pipeline from sample preparation and capture to NGS sequencing library preparation and QC with high precision
  • Prepare single cell and single nuclei samples for next-generation sequencing (NGS) and other applications
  • Conduct fluorescence and/or magnetic-activated cell sorting experiments
  • Help optimize and improve workflow, and streamline processes
  • Collect, organize, and manage sample inventory
  • Organize and maintain detailed experimental records in accordance with industry standards
  • Manage reagent inventory and equipment calibration/maintenance
  • Collaborate with multidisciplinary teams and colleagues
  • Analyze data, interpret and present results at team meetings
  • Support other Discovery projects involving human neuronal cell culture and cell-based assays
Required Qualifications
  • BS or MS degree in Biology, Molecular/Cell Biology or related field
  • Experience with single cell NGS sample prep workflow (cell capture using microfluidics, cDNA and library preparation, QC and sequencing)
  • Experience with flow cytometry and fluorescence activated and/or magnetic cell sorting (FACS/MACS)
  • Familiarity with DNA/RNA library QC techniques (Tapestation, Bioanalyzer, Qubit, etc.)
  • Working knowledge of standard molecular biology techniques (PCR, qPCR, gel electrophoresis, DNA/RNA extraction)
  • Strong organizational and analytical skills
  • Willingness to perform repetitive tasks with high accuracy and superb attention to detail
  • Willingness to learn and expand skill set and contribute to emerging needs in a highly dynamic start-up environment
  • Ability to multitask while working within fast-paced timelines
  • High integrity, excellent written, verbal and interpersonal communication skills
  • Strong team player and problem-solver, able to work on teams and independently
Preferred Qualifications
  • 2+ years of relevant hands on laboratory experience in academia or industry
  • Familiarity with single-cell RNA sequencing data analysis
  • Familiarity with histochemical techniques and basic microscopy
  • Experience with sterile human stem cell and neuronal cell culture
  • Basic knowledge of stem cell biology and neurodevelopmental biology

We are open to hiring at various experience levels. The final job title and compensation will be determined by the candidate's qualifications and experience.
Alert
We are aware of active recruitment scams using the Neurona name, where individuals pose as our recruiters or post fake remote job openings and make fraudulent job offers online. Please note, that we will never make an offer of employment without conducting multiple rounds of face-to-face interviews using secure video-conferencing technology. Additionally, we will never ask candidates to cash checks or make any payment to be considered for a position.
If you believe you have been a victim of a phishing scam, please visit the Cybersecurity & Infrastructure Security Agency (CISA) at https://www.cisa.gov/be-cyber-smart/report-incident to learn how to report it.
This job description is not intended to be exhaustive and may evolve as business needs change. Duties, responsibilities, and activities may be modified or assigned at any time with or without notice.

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