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

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 ...

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 ...

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 ...

TSR Consulting

Research Associate

Cambridge, MA · On-site

$32.35/hr

Single-cell RNA sequencing (scRNA-seq) * Bulk RNA/DNA sequencing * Illumina Next Generation Sequencing (NGS) * Library preparation * Sequencing workflows * DV200 assessment Histology * Multiplex ...

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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.

R&D Scientist

Predicta Biosciences

Cambridge, MA • On-site

Full-time

Medical, Dental, Vision, Retirement

Re-posted 13 days ago

Job description

Description:


Predicta is building a molecular insights platform for blood cancer care. From a single blood sample, we generate longitudinal genomic and immune insights that help clinicians and researchers better understand disease biology, guide treatment decisions, and monitor disease evolution over time.


We are seeking a highly motivated R&D Scientist who will lead assay development efforts spanning flow cytometry and NGS technologies, including whole genome 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 deployed in clinical or research settings. This individual will play a key role in developing assays for the characterization of tumor and immune cells, from multi-color flow cytometry immunophenotyping and FACS-based sorting through to downstream NGS library preparation and sequencing, translating early research concepts into clinical assays. 


This laboratory-based scientist should be passionate about developing cutting-edge cytometry and genomic assays and will work closely with an inter-disciplinary and cross-functional team of other laboratory-based scientists and computational biologists, focused on improving blood-based cancer diagnostic capabilities in areas including cancer detection, measurable residual disease, and other related applications.


Key responsibilities

  • Design, develop, and optimize molecular assays spanning flow cytometry and NGS for tumor cell and immune characterization
  • Lead multi-color and spectral flow cytometry panel design (10–30+ colors), fluorophore selection, antibody titration, and FACS-based cell sorting
  • Contribute to development and optimization of NGS workflows, including library preparation, sample processing, and quality control
  • Develop and optimize sample processing workflows (whole blood, bone marrow, PBMC isolation) that feed both flow cytometry and NGS/single-cell pipelines
  • Use FACS to identify rare cell populations for downstream single-cell RNA-seq and other NGS applications
  • Evaluate and implement new technologies, reagents, and platforms spanning cytometry (e.g., spectral flow) and sequencing to improve assay performance, robustness, and scalability
  • Establish and maintain QC metrics, instrument standardization, and assay validation practices across both cytometry and sequencing workflows
  • Plan and execute experiments independently, analyze data (FlowJo for flow; and standard NGS QC pipelines), and clearly communicate results to internal stakeholders
  • Collaborate closely with the R&D and computational biology teams to ensure seamless integration of wet-lab and analytical workflows across modalities
  • Develop and document standard operating procedures (SOPs), protocols, and technical reports suitable for regulated environments
  • Maintain meticulous, reproducible records and contribute to shared protocols 
  • Follow, document, and adapt experimental protocols with care and precision
  • Mentor junior scientists and contribute to building best practices within the R&D organization
  • Support technology transfer from R&D into product development and clinical operations as needed


Requirements:
  • PhD (or BS/MSc with significant industry experience) in immunology, molecular biology, cell biology, genetics, bioengineering, or a related field
  • 5+ years of hands-on laboratory experience spanning flow cytometry/immunophenotyping and molecular biology assay development, preferably in a cutting-edge research/R&D environment
  • Deep expertise in multi-parameter and spectral flow cytometry, including panel design, instrument operation and FACS-based cell sorting
  • Deep expertise in NGS technologies, including library prep, sequencing platforms, and workflow optimization; experience with single-cell RNA-seq or related single-cell technologies (scWGS, scATAC-seq, scMultiomics) is a strong plus
  • Strong understanding of immune cell subsets and immunophenotyping, particularly in the context of hematologic malignancies
  • Hands-on experience with compensation, fluorescence-minus-one (FMO) controls, and gating strategy development
  • Strong experimental design, troubleshooting, and data interpretation skills
  • Demonstrated success working in cross-functional, fast-moving research or startup environments and collaborating with computational scientists
  • Outstanding written and verbal communication skills
  • Ability to handle several fast-paced projects concurrently
  • Demonstrated curiosity and scientific rigor with excellent problem-solving skills
  • Ability to engage in crucial conversations – providing and receiving feedback

Preferred qualifications

  • Hands-on experience linking flow cytometry-sorted populations directly into NGS or single-cell library preparation workflows
  • Experience developing assays intended for clinical or regulated use (e.g., CLIA, CAP, or FDA-regulated environments)
  • Familiarity with computational methods and software for analysis of flow cytometry and/or NGS data, especially for quality control 
  • Prior experience bringing assays from early research through to product development
  • Experience with automation of cell and molecular biology assays, especially sample extraction, cell staining/sorting, and NGS library preparation
  • Background in immunology, immuno-oncology, or immune-mediated diseases

Work Location

  • This role is based in Cambridge, MA and is a full time in-office role. Travel may be required in the future.

Why Join Predicta Biosciences?
This is a unique opportunity to be part of a mission-driven team advancing precision diagnostics for hematologic cancers. You’ll play a key role in shaping the quality and performance of our clinical testing efforts and contribute directly to patient-impactful innovations.


The annual salary range for this position is $120,000 - $180,000 plus a 10% bonus opportunity. Predicta considers a variety of factors when determining base compensation, including experience, skills, education, qualifications, and geographic location. Actual compensation will vary, and it is not typical to be hired at or near the top of the range for the role.  Additional rewards include equity, flexible time off, 401k Plan, medical, dental and vision plans that are 90% paid by Predicta and a partially company-funded HSA.