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Single Cell Rna Sequencing Jobs in Washington, DC

Umd

Postdoctoral Associate

College Park, MD

$75K - $80K/yr

... single-cell transcriptomic (RNA-seq) and ATAC-seq data, specifically in the single-cell context, though projects related to long-read RNA-sequencing and to foundational algorithmic and data ...

Axle

Genomics Technician

Rockville, MD

$80K - $90K/yr

Perform bulk RNA-Seq, scRNA-Seq, CITE-Seq, ATAC-Seq, and other immune profiling single-cell assays. * Prepare and QC RNA and DNA samples for sequencing. * Perform routine maintenance, operation and ...

Axle

Genomics Technician

Rockville, MD

Perform bulk RNA-Seq, scRNA-Seq, CITE-Seq, ATAC-Seq, and other immune profiling single-cell assays. * Prepare and QC RNA and DNA samples for sequencing. * Perform routine maintenance, operation and ...

Axle

Genomics Technician

Rockville, MD · On-site

$80K - $90K/yr

Perform bulk RNA-Seq, scRNA-Seq, CITE-Seq, ATAC-Seq, and other immune profiling single-cell assays. * Prepare and QC RNA and DNA samples for sequencing. * Perform routine maintenance, operation and ...

Howard

Research Assistant

Washington, DC

$40K - $47K/yr

... the Easy Share-seq sequencing protocol. SUPERVISORY AUTHORITY: This position does not have ... RNA-seq datasets and collaborating with lab members to model complex gene regulation in single-cell ...

Howard University

Research Assistant

Washington, DC · On-site

$40K - $47K/yr

... the Easy Share-seq sequencing protocol. SUPERVISORY AUTHORITY: This position does not have ... RNA-seq datasets and collaborating with lab members to model complex gene regulation in single-cell ...

Axle

Bioinformatics Scientist

Bethesda, MD

... analysis, single-cell and bulk gene expression analysis, de novo assembly of genomes and ... NGS analysis (whole-exome, whole-genome, RNA-seq, ChIP-Seq, both long- and short-read technologies ...

Axle

Bioinformatics Scientist

Bethesda, MD · On-site

... analysis, single-cell and bulk gene expression analysis, de novo assembly of genomes and ... NGS analysis (whole-exome, whole-genome, RNA-seq, ChIP-Seq, both long- and short-read technologies ...

Axle

Bioinformatics Scientist

Bethesda, MD

... analysis, single-cell and bulk gene expression analysis, de novo assembly of genomes and ... NGS analysis (whole-exome, whole-genome, RNA-seq, ChIP-Seq, both long- and short-read technologies ...

Guidehouse

Molecular Biologist

Bethesda, MD

$85K - $141K/yr

Independently perform Molecular tests on clinical specimens using techniques such as Next Generation Sequencing (NGS), cell separation from blood and bone marrow, DNA/RNA isolation, conventional PCR ...

Guidehouse

Molecular Biologist

Bethesda, MD · On-site

$85K - $141K/yr

Independently perform Molecular tests on clinical specimens using techniques such as Next Generation Sequencing (NGS), cell separation from blood and bone marrow, DNA/RNA isolation, conventional PCR ...

Karius

Clinical Sales Manager (Capitol)

Washington, DC · On-site

... Sequencing and proprietary data analysis, we can identify over 1,000 pathogens from a single blood ... By unlocking the information present in microbial cell-free DNA, we're helping doctors quickly ...

Karius

Clinical Sales Manager (Capitol)

Washington, DC · Remote

... Sequencing and proprietary data analysis, we can identify over 1,000 pathogens from a single blood ... By unlocking the information present in microbial cell-free DNA, we're helping doctors quickly ...

Tjx

Jewerly Associate

Capitol Heights, MD · On-site

$15.75 - $16.25/hr

Single Queue, Associate Lounge * Maintains floor care cleanliness standards including maintenance ... Adheres to Front End policy and procedures including ringing sequence and operational controls (RIL ...

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Single Cell Rna Sequencing information

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

As of Jun 9, 2026, the average hourly pay for single cell rna sequencing in Washington, DC is $24.51, according to ZipRecruiter salary data. Most workers in this role earn between $19.04 and $30.77 per hour, depending on experience, location, and employer.

What are some common challenges faced by researchers working in Single Cell RNA Sequencing, and how can they be addressed?

Researchers in Single Cell RNA Sequencing often encounter challenges such as sample preparation variability, data complexity, and managing large datasets. Ensuring high-quality single-cell suspensions and minimizing cell loss during processing are critical steps. Additionally, interpreting data requires proficiency with bioinformatics tools and collaboration with computational biologists. Staying up-to-date with evolving protocols and leveraging multi-disciplinary teamwork can help address these challenges effectively.

What is the difference between Single Cell Rna Sequencing vs Single Cell Genomics Technician?

AspectSingle Cell Rna SequencingSingle Cell Genomics Technician
CredentialsTypically requires a degree in biology, molecular biology, or related fields; experience with sequencing technologiesSimilar credentials; often with laboratory or technical certifications in genomics
Work EnvironmentLaboratories performing sequencing, data analysis, and sample preparationLaboratories focused on sample processing, sequencing support, and data collection
Industry UsageUsed in research labs, biotech, and pharmaceutical companies for gene expression studiesCommon in genomics research centers, biotech firms, and academic labs

Both roles involve working with genomic technologies and require similar educational backgrounds. However, Single Cell Rna Sequencing specialists focus more on RNA analysis and data interpretation, while Single Cell Genomics Technicians support sample preparation and sequencing workflows. Understanding these differences helps in choosing the right career path or job search focus.

What are the key skills and qualifications needed to thrive as a Single Cell RNA Sequencing Specialist, and why are they important?

To thrive as a Single Cell RNA Sequencing Specialist, you need a solid background in molecular biology, genomics, and data analysis, typically supported by a relevant degree in the life sciences. Familiarity with sequencing platforms (such as 10x Genomics or Illumina), bioinformatics tools (like Seurat or Cell Ranger), and experience with data visualization are crucial. Attention to detail, problem-solving ability, and strong communication skills help ensure accurate results and effective collaboration with research teams. Mastering these skills is essential for generating high-quality data, troubleshooting experiments, and translating complex findings into actionable insights.

What is single cell RNA sequencing?

Single cell RNA sequencing (scRNA-seq) is a technique that allows researchers to examine the gene expression profiles of individual cells. Unlike traditional RNA sequencing, which measures average gene expression across thousands or millions of cells, scRNA-seq reveals the unique transcriptomic signature of each cell. This method is valuable for studying cellular diversity, identifying rare cell types, and understanding complex biological processes such as development, disease progression, and immune responses.
What are popular job titles related to Single Cell Rna Sequencing jobs in Washington, DC? For Single Cell Rna Sequencing jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Single Cell Rna Sequencing jobs in Washington, DC look for? The top searched job categories for Single Cell Rna Sequencing jobs in Washington, DC are:
Single Cell Rna Sequencing jobs near you
Senior Data Scientist, Bioinformatics

Senior Data Scientist, Bioinformatics

Precigen, Inc

Germantown, MD • On-site

$85K - $120K/yr

Full-time

Posted 8 days ago

Job description

GENERAL DESCRIPTION:

We are seeking a proficient Senior Data Scientist within Precigen’s Bioinformatics team who will be responsible for sequence data analysis, statistical analysis, and data mining. This individual will maintain and develop analysis pipelines, run data analyses, visualize results and communicate them to lab scientists and principal investigators. Extensive experience with DNA and RNA sequencing analysis and strong knowledge of statistical methods, coupled with a solid understanding of foundational biological principles, will be required. You will join a transnational team working at the intersection of biology, data science, and software development.

DUTIES AND RESPONSIBILITIES:

  • Perform computational analysis of DNA and RNA sequences.
  • Perform statistical analyses on experimental data from molecular and cell biology, immunology and oncology.
  • Mine clinical data with machine learning methods.
  • Perform computational analysis of protein sequence data.
  • Visualize and communicate analysis results to biologists.
  • Contribute to scientific writing.


EDUCATION AND EXPERIENCE:

  • PhD, MS, or equivalent experience in molecular biology, biochemistry, computational biology, bioinformatics or a related discipline.
  • Five or more years of experience with computational DNA analysis (insertion analysis, variant analysis), bulk and single cell RNA analysis, expression analysis, and pathway analysis.
  • Familiarity with bioinformatics concepts and standard tools for sequence data handling, sequence alignment, and differential expression analysis.
  • Good knowledge of statistics.
  • Familiarity with the Unix/Linux command line.
  • Strong programming skills in R and Perl.
  • Extensive experience with data analysis and visualization.
  • Knowledge of and experience with machine learning concepts and methods.
  • Experience with protein sequence analysis from mass spectrometry data.
  • Familiarity with AI-based tools is appreciated.

DESIRED KEY COMPETENCIES:

  • Capable of adapting to rapidly changing and developing requirements.
  • The candidate can engage effectively with scientists to understand the design, rationale, and scientific context of lab experiments, ensuring that data analyses align with experimental goals.
  • They can clearly communicate the methods, reasoning, results, and interpretations of their analyses within the Bioinformatics team and across research groups.
  • Ready to seek, accept, and provide feedback and advice from and to team colleagues and management.
  • Communicates issues and problems openly and early.
  • Exhibits high performance both independently and in a team setting.
  • Delivers work on schedule and within agreed timeframes.
  • Is comfortable with communicating predominantly via electronic means.
  • Effectively conveys information in a clear, structured manner.
  • Can interact proficiently in an international and culturally diverse environment where not everyone is a native speaker of English.
  • Sufficient language skills in German to discuss professional matters are a plus.


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