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

Vrtx

Computational Genomics Research Scientist

Boston, MA · Hybrid

$112K - $168K/yr

... RNA-seq, single-cell profiling, spatial transcriptomics, and other multiomic datasets to generate actionable insights. * Perform sophisticated computational analyses of sequencing and other ...

Massgeneralbrigham

Biostatistician Principal

Boston, MA · On-site

$56.59 - $82.31/hr

WGBS/RRBS, ChIP-seq, CUT&RUN, ATAC-seq, RNA-seq, RIP-seq, single-cell RNA-seq and CITE-seq, and long-read sequencing. * Provide statistical genetics support, including rare-variant burden analysis ...

Mass General Brigham

Biostatistician Principal

Boston, MA · On-site

$56.59 - $82.31/hr

WGBS/RRBS, ChIP-seq, CUT&RUN, ATAC-seq, RNA-seq, RIP-seq, single-cell RNA-seq and CITE-seq, and long-read sequencing. * Provide statistical genetics support, including rare-variant burden analysis ...

AllSTEM Connections

Biologist

Boston, MA · On-site

$101K - $119K/yr

... sequencing, and data QC (preferably Illumina). Direct experience with RNA-seq (bulk) and amplicon-seq. • Direct experience with single-cell and single-nucleus RNA-seq library preparation is ...

Massgeneralbrigham

Computational Associate

Boston, MA · On-site

Experience analyzing genomics, RNA sequencing, spatial transcriptomics, single-cell, or epigenomic datasets * Experience integrating and interpreting multiple biological data modalities across ...

Harvard University

Research Assistant III Lab

Boston, MA · On-site

$54/hr

For this reason, nascent RNA-seq methods in conjunction with Next Generation Sequencing (NGS ... Bachelor's degree in Molecular Biology, Cell Biology, Biochemistry, or related discipline, or 4 or ...

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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 Sep 2, 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 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 the key skills and qualifications needed to thrive as a single cell RNA sequencing specialist?

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 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 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:

Single Cell Rna Sequencing jobs near you
Infographic showing various Single Cell Rna Sequencing job openings in Boston, MA as of August 2026, with employment types broken down into 1% Locum Tenens, 1% As Needed, 78% Full Time, 16% Part Time, 3% Contract, and 1% Nights. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $48,911 per year, or $23.5 per hour.

Computational Genomics Research Scientist

Vrtx

Boston, MA • Hybrid

$112K - $168K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 6 days ago

Job description

Job Description

We are seeking a Computational Genomics Research Scientist to support the development of transformative cell and gene therapies across Vertex's research portfolio. This Boston-based position is part of the global Data and Computational Sciences organization and will collaborate closely with research teams spanning stem cell biology, immunology, gene editing, and pre-clinical development to design studies, execute and analyze complex genomic analyses, and ultimately generate biological insights that drive early research across multiple disease programs. As an embedded computational scientist, you willbe responsible for performingbulk and single-cell sequencinganalyses, spatial transcriptomics, andmultiomicprofiling to help uncover the molecular programs that govern therapeutic cell identity, differentiation, function, and safety to accelerate the development of next-generation cell and gene therapies.

This is a Boston based, hybrid position requiring 3 days/week onsite.

Key Responsibilities

  • Collaborate closely with cross-functional research teams to identify key scientific questions that can be addressed through genomics, sequencing, and bioinformatics approaches.
  • Lead the application and advancement of spatial transcriptomics methods, collaborating across teams and sites to develop, implement, and share analytical best practices.
  • Analyze and integrate diverse genomic datasets, including bulk RNA-seq, single-cell profiling, spatial transcriptomics, and other multiomic datasets to generate actionable insights.
  • Perform sophisticated computational analyses of sequencing and other biological data through deep critical thinking, incorporation of published findings and best practices from the field, strong statistical rigor, and data science visualizations
  • Distill complex analyses and scientific results into key take-home messages and recommendations for next steps to a broad audience.
  • Partner with computational and software teams to improve analytical workflows, reproducibility, usability, and robustness.
  • Practice reproducible research and maintain well-documented, version-controlled analytical workflows.
  • Author study reports and technical documentation to support research and regulatory activities.
  • Evaluate emerging genomics technologies and computational methods and incorporate new approaches where appropriate.

Knowledge and Skills:

  • A proven track record in the analysis, visualization, and interpretation of genomic and next-generation sequencing (NGS) data
  • Solid scientific understanding of gene editing, the role of genetic variation in human disease, molecular biology, and cellular biology
  • Expertise with applying computational methods and bioinformatics tools to large-scale data
  • Solid understanding of statistics

Education and Experience:

  • Ph.D. in computational biology, bioinformatics, genomics, systems biology, biomedical engineering, statistics, computer science, or a related quantitative discipline, with 0-3 years of relevant postdoctoral or industry experience; or a Master's degree in a related field with 3+ years of relevant industry experience.
  • Demonstrated expertise in the design, analysis, visualization, and interpretation of single-cell genomics and spatial transcriptomics experiments
  • Proficiency in Python and/or R for scientific computing and data analysis.
  • Experience working in Linux-based high-performance computing (HPC) and/or cloud computing environments.
  • Strong foundation in statistics, experimental design, and reproducible computational research.
  • Proven ability to derive biological insight from complex datasets and translate findings into actionable recommendations for research teams.
  • Excellent communication and presentation skills, with the ability to effectively convey complex scientific findings to multidisciplinary audiences.
  • Demonstrated ability to work collaboratively within cross-functional teams and contribute to a positive, team-oriented environment.

#LI-KM1

#LI-Hybrid

Pay Range:

$112,000 - $168,000

Disclosure Statement:

The range provided is based on what we believe is a reasonable estimate for the base salary pay range for this job at the time of posting. This role is eligible for an annual bonus and annual equity awards. Some roles may also be eligible for overtime pay, in accordance with federal and state requirements. Actual base salary pay will be based on a number of factors, including skills, competencies, experience, and other job-related factors permitted by law.

At Vertex, our Total Rewards offerings also include inclusive market-leading benefits to meet our employees wherever they are in their career, financial, family and wellbeing journey while providing flexibility and resources to support their growth and aspirations. From medical, dental and vision benefits to generous paid time off (including a week-long company shutdown in the Summer and the Winter), educational assistance programs including student loan repayment, a generous commuting subsidy, matching charitable donations, 401(k) and so much more.

Flex Designation:

Hybrid-Eligible Or On-Site Eligible

Flex Eligibility Status:

In this Hybrid-Eligible role, you can choose to be designated as:
1. Hybrid: work remotely up to two days per week; or select
2. On-Site: work five days per week on-site with ad hoc flexibility.

Note: The Flex status for this position is subject to Vertex's Policy on Flex @ Vertex Program and may be changed at any time.

#LI-Hybrid

Company Information

Vertex is a global biotechnology company that invests in scientific innovation.

Vertex is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, sex, gender identity or expression, age, religion, national origin, ancestry, ethnicity, disability, veteran status, genetic information, sexual orientation, marital status, or any characteristic protected under applicable law. Vertex is an E-Verify Employer in the United States. Vertex will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law.

Any applicant requiring an accommodation in connection with the hiring process and/or to perform the essential functions of the position for which the applicant has applied should make a request to the recruiter or hiring manager, or contact Talent Acquisition at ApplicationAssistance@vrtx.com

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