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

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 ...

UNAVAILABLE

Senior Scientist

Newton, MA · On-site

$100K - $137K/yr

... single cell and sub-cellular level. We aim to find the best talent in the field to join and ... RNA/DNA), qPCR, and DNA sequencing or similar molecular biology techniques. Experience with ...

Bruker Corporation

Senior Scientist

Newton, MA · On-site

$100K - $137K/yr

... single cell and sub-cellular level. We aim to find the best talent in the field to join and ... RNA/DNA), qPCR, and DNA sequencing or similar molecular biology techniques. Experience with ...

Bruker

Senior Scientist

Newton, MA

$100K - $137K/yr

... single cell and sub-cellular level. We aim to find the best talent in the field to join and ... RNA/DNA), qPCR, and DNA sequencing or similar molecular biology techniques. Experience with ...

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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 Jun 14, 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:
What cities near Boston, MA are hiring for Single Cell Rna Sequencing jobs? Cities near Boston, MA with the most Single Cell Rna Sequencing job openings:
Single Cell Rna Sequencing jobs near you
Infographic showing various Single Cell Rna Sequencing job openings in Boston, MA as of June 2026, with employment types broken down into 96% Full Time, 2% Part Time, and 2% Contract. Highlights an 100% In-person job distribution, with an average salary of $48,911 per year, or $23.5 per hour.

Sr. Director/Director Precision Oncology

Aitia

Cambridge, MA • On-site

$180K - $240K/yr

Full-time

Posted 18 days ago

Job description

Position Summary
Senior Director/Director Precision Oncology will be responsible for leading a dynamic Precision Oncology team to apply Aitia’s powerful Causal AI platform to oncology drug discovery and clinical development.  This role will manage and support a team of cross-functional scientists in the identification and preparation of large biological data sets, the application of our causal analysis platform, and the interpretation and communication of findings and insights.     The candidate will work closely with external partners to deliver novel insights that impact their decision-making and support Aitia’s internal research efforts in oncology. The Head of Precision Oncology will act as PI, providing technical and managerial oversight of all oncology-related projects with a specific focus on interpreting the biological and clinical findings in the context of precision oncology.
Responsibilities
  • Manage and develop a team of direct reports responsible for start-to-finish development, implementation, and interpretation of oncology-related in silico patient models and applications.
  • Oversee and provide hands-on support as needed in the evaluation and preparation of multi-omic datasets, statistical analyses, interpretation, and validation.
  • Support and participate in face-to-face presentations to current and prospective partners and collaborators 
  • Provide support to the Business Development group by contributing to proposal development discussions and writing.
Qualifications and Skills
  • PhD with experience in oncology research, including developing computational or statistical modeling and interpreting data focused on precision medicine, target identification, biomarker discovery, and patient stratification, 7-10 years of experience.
  • Demonstrated aptitude for connecting computational results to biological or drug development insights
  • Biopharma or CRO experience in applying precision medicine approaches to drug development or translational science is strongly preferred.
  • Experience managing and leading technical teams
  • Deep understanding of biological data and hands-on experience with a variety of omics data sets, including single-cell RNA-seq data
  • Knowledge of standard bioinformatics pipelines, data processing, statistical modeling, and machine learning techniques. 
  • An ability to manage and deliver on multiple projects simultaneously
  • Proficiency in at least one statistical programming or numerical computing language
  • Strong written and verbal communication; a clear ability to communicate technical material to non-technical audiences simply and clearly
  • Experience working with advanced ML techniques, probability theory, Bayesian analysis, or causal inference methods is a plus
  • Experience working in an interdisciplinary environment is a plus
  • Passion to learn new things and solve problems
Salary Range is 180,000-240,000 per year

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