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How much do single cell spatial transcriptomics jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for single cell spatial transcriptomics 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 the key skills and qualifications needed to thrive as a Single Cell Spatial Transcriptomics Scientist, and why are they important?

To thrive as a Single Cell Spatial Transcriptomics Scientist, you need a strong background in molecular biology, genomics, and bioinformatics, typically supported by an advanced degree (PhD or MSc) in a relevant field. Familiarity with high-throughput sequencing platforms, spatial transcriptomics technologies (like 10x Genomics Visium or NanoString GeoMx), and data analysis tools such as R or Python is essential. Critical thinking, problem-solving, and effective communication are crucial soft skills for interpreting complex data and collaborating in multidisciplinary teams. These skills and qualities are vital for generating reliable insights into cellular function and spatial organization, which drive innovative research and discovery.

What are some typical challenges faced by professionals working in Single Cell Spatial Transcriptomics, and how can they be addressed?

Professionals in Single Cell Spatial Transcriptomics often encounter challenges related to handling large, complex data sets and integrating spatial information with single-cell transcriptomic profiles. These tasks demand strong computational skills and close collaboration with bioinformaticians and other researchers. Effective communication within interdisciplinary teams is essential to ensure experimental design aligns with downstream analysis needs. Staying updated with rapidly evolving technologies and best practices also helps professionals overcome technical hurdles and produce reliable, high-impact results.

What is single cell spatial transcriptomics?

Single cell spatial transcriptomics is a cutting-edge technique that allows researchers to analyze gene expression in individual cells while preserving their spatial location within a tissue. This method combines the high-resolution insights of single-cell RNA sequencing with spatial information, enabling scientists to understand how cells interact and organize within their native environments. It is widely used in biomedical research to study tissue architecture, disease mechanisms, and cellular heterogeneity.
What are popular job titles related to Single Cell Spatial Transcriptomics jobs in Boston, MA? For Single Cell Spatial Transcriptomics jobs in Boston, MA, the most frequently searched job titles are:
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What cities near Boston, MA are hiring for Single Cell Spatial Transcriptomics jobs? Cities near Boston, MA with the most Single Cell Spatial Transcriptomics job openings:
Single Cell Spatial Transcriptomics jobs near you
Technician, Sequencing & Bioinformatics - Genome Core (Relocation Assistance Available!)

Technician, Sequencing & Bioinformatics - Genome Core (Relocation Assistance Available!)

Whitehead Institute

Cambridge, MA • On-site

Full-time

Posted 21 days ago

Job description

Classification:
Exempt
Job Family:
Core Facilities
Reports to:
Director Genome Technology Core
Job Description Summary:
OVERALL RESPONSIBILITY
The Genomics Technology Core Technician serves as a central point of expertise for sequencing and analytical operations. This role bridges wet-lab execution and computational analysis, supporting both short- and long-read sequencing workflows. The Technician will help internal and external clients on sequencing technologies, guide project design, manage client communication, and deliver rigorous data pre-processing, quality control, and downstream analysis. Will contribute to hands-on support in the laboratory as needed.
CHARACTERISTIC DUTIES
  • Advise clients on appropriate sequencing technologies (short-read, long-read, single-cell, spatial) and help define project parameters, expected outputs, and deliverables.
  • Perform primary NGS data processing including demultiplexing, alignment, and quality assessment (FastQC, MultiQC, etc.).
  • Conduct secondary analysis as required, including variant calling, differential expression, or genome assembly depending on project needs.
  • Develop and maintain reproducible analysis pipelines.
  • Use and update LIMS and genomics databases to track samples, datasets, and project metadata.
  • Communicate effectively with researchers at all levels to ensure deliverables meet scientific objectives.
  • Document protocols, analysis workflows, and results clearly for both technical and non-technical audiences.
  • Assist with NGS related services, quality control (Bioanalyzer, TapeStation, Qubit), and sequencer operation as needed.
  • Contribute to continuous improvement of core facility processes and standard operating procedures.
  • Other tasks, as required.

QUALIFICATIONS
Required
  • BS in Molecular Biology, Bioinformatics, Computational Biology, or a related field; or equivalent experience.
  • 3+ years of relevant hands-on experience.
  • Demonstrated expertise coordinating NGS workflows including short-read (e.g., Illumina, Elements) and long-read (e.g., Oxford Nanopore, PacBio) sequencing platforms.
  • Demonstrated expertise in single cell technologies.
  • Experience advising researchers or clients on sequencing technology selection and experimental design.
  • Proficiency with NGS data pre-processing and quality control tools (e.g., Trimmomatic, MultiQC, Samtools, CellRanger).
  • Familiarity with common bioinformatics data analysis workflows.
  • Command-line proficiency in a Linux/Unix environment; ability to write and maintain analysis scripts in Python.
  • Experience with genomics databases and data management (e.g., LIMS, SQL or similar).
  • Excellent interpersonal and written communication skills; demonstrated ability to manage external client relationships.
  • Strong organizational skills and attention to detail in a high-throughput service environment.
  • Willingness to contribute to bench-level laboratory work when scientific or operational needs arise.

Preferred
  • Familiarity with spatial biology techniques.
  • Familiarity with laboratory automation for liquid handling.
  • Experience with workflow management systems (e.g., Snakemake, Nextflow) and version control (Git).
  • Exposure to cloud computing environments or HPC clusters for large-scale data analysis.

Whitehead provides pay ranges representing its good faith estimate of what the Institute reasonably expects to pay for a position at the time of posting. The pay offered to a selected candidate during hiring will be based on factors such as (but not limited to) the scope and responsibilities of the position, the candidate's work experience and education/training, and internal peer equity. This pay range represents base pay only and does not include any other benefits or compensation.
  • Pay Range Minimum: 65,000
  • Pay Range Maximum: 90,000

Whitehead Institute is an E-Verify employer
https://e-verify.uscis.gov/web/media/resourcesContents/E-Verify_Participation_Poster_ES.pdf

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