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Single Cell Rna Sequencing Jobs in Boston, MA (NOW HIRING)

Tufts University

Postdoctoral Scholar

Boston, MA · On-site

$67K/yr

Using cutting-edge single cell RNA sequencing, we study human and mouse brain tissues to identify how the disease starts, progresses, and leads to different outcomes. We aim to discover new treatment ...

Predicta Biosciences

R&D Scientist

Cambridge, MA · On-site

... sequencing and single-cell RNA-seq. The ideal candidate has a strong technical background in immunology, cell biology, and genomics, with experience developing highly robust and reproducible assays ...

New

PREDICTA BIOSCIENCES INC

R&D Scientist

Cambridge, MA · On-site

... sequencing and single-cell RNA-seq. The ideal candidate has a strong technical background in immunology, cell biology, and genomics, with experience developing highly robust and reproducible assays ...

New

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All JobsSingle Cell Rna Sequencing JobsSingle Cell Rna Sequencing Jobs in Boston, MA

Single Cell Rna Sequencing information

See Boston, MA salary details

$13

$23

$32

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

As of Jul 23, 2026, the average hourly pay for single cell rna sequencing in Boston, MA is $23.51, according to ZipRecruiter salary data. Most workers in this role earn between $18.27 and $29.52 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 Boston, MA? For Single Cell Rna Sequencing jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Single Cell Rna Sequencing jobs in Boston, MA look for? The top searched job categories for Single Cell Rna Sequencing jobs in Boston, MA are:
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Single Cell Rna Sequencing jobs near you
Infographic showing various Single Cell Rna Sequencing job openings in Boston, MA as of July 2026, with employment types broken down into 95% Full Time, and 5% Contract. Highlights an 100% In-person job distribution, with an average salary of $48,911 per year, or $23.5 per hour.
Data Scientist - Computational Biology

Data Scientist - Computational Biology

Penfield Search Partners

Waltham, MA • Hybrid

$63K - $64K/yr

Other

Posted 3 days ago

Job description

Job Description Contact: Neisha Camacho/Terra Parsons - teamnt@penfieldsearch.com No 3rd party candidates Location: Waltham, MA (Hybrid - 4 days onsite/week) Penfield Search Partners is partnering with an innovative biotechnology company to identify a Data Scientist - Computational Biology contractor for a six-month assignment. This individual will support drug discovery research by processing, analyzing, visualizing, and interpreting next-generation sequencing (NGS) datasets, with a strong emphasis on transcriptomics and long-read sequencing technologies. The ideal candidate has hands-on experience with RNA sequencing data, strong computational biology expertise, and enjoys collaborating closely with experimental scientists to generate biological insights that advance therapeutic discovery

Key Responsibilities Process, analyze, visualize, and interpret NGS datasets, including bulk RNA-seq, single-cell RNA-seq (scRNA-seq), and long-read RNA sequencing data. Perform bioinformatics analyses including quality control, sequence alignment, quantification, differential expression, isoform characterization, splicing analysis, and biological interpretation. Collaborate with cross-functional teams of experimental scientists, computational biologists, and research leaders to support target discovery and validation efforts.

Translate computational findings into meaningful biological insights that inform research decisions. Evaluate and implement new bioinformatics tools, analytical methods, and emerging technologies relevant to transcriptomics and functional genomics. Develop scripts, workflows, and analytical pipelines to support reproducible and scalable data analysis.

Contribute to study design, analytical strategy, and interpretation of research findings. Present results and communicate complex analyses clearly to technical and non-technical stakeholders. Deliver high-quality work while managing multiple priorities in a collaborative research environment.

Qualifications Education & Experience MS or PhD in Bioinformatics, Computational Biology, Systems Biology, Genomics, or a related scientific discipline. Relevant industry, academic, or postdoctoral research experience in computational biology or bioinformatics. Required Skills Hands-on experience analyzing NGS datasets, particularly: Bulk RNA-seq Single-cell RNA-seq (scRNA-seq) Long-read RNA sequencing using Nanopore (required) Experience with PacBio sequencing is a plus.

Strong understanding of transcriptomics, differential expression analysis, isoform discovery, and RNA splicing analysis. Proficiency in Python and/or R. Experience working in Linux environments and high-performance computing (HPC) or cloud platforms such as AWS.

Familiarity with genome annotation resources, biological pathway databases, and systems biology concepts. Commitment to reproducible research, documentation, and version control best practices. Preferred Experience Experience with additional functional genomics data such as ATAC-seq, ChIP-seq, or PRO-seq.

Drug discovery or biotechnology industry experience. Experience collaborating with laboratory scientists in a multidisciplinary research environment. What We're Looking For We're seeking someone who is curious, collaborative, and scientifically driven, with excellent communication skills and the ability to work closely with both computational and experimental teams.

This individual should be comfortable presenting previous research, explaining analytical approaches, and contributing to a fast-paced drug discovery environment.

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