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Single Cell Spatial Transcriptomics Jobs in Boston, MA

AA2IT

Bioinformatics Scientist - II

Cambridge, MA · On-site

$75/hr

Proven work with RNA-Seq, single-cell RNA-Seq, genotype data, spatial transcriptomics, and proteomics (e.g., OLINK). Technical Skills: * Strong programming skills in R, Python, and Bash. * Experience ...

AA2IT

Bioinformatics Scientist - II

Cambridge, MA · On-site

$75/hr

Proven work with RNA-Seq, single-cell RNA-Seq, genotype data, spatial transcriptomics, and proteomics (e.g., OLINK). Technical Skills: * Strong programming skills in R, Python, and Bash. * Experience ...

Vrtx

Computational Genomics Research Scientist

Boston, MA · Hybrid

$112K - $168K/yr

As an embedded computational scientist, you willbe responsible for performingbulk and single-cell sequencinganalyses, spatial transcriptomics, andmultiomicprofiling to help uncover the molecular ...

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

As of Sep 7, 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 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 the 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 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 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:

What job categories do people searching Single Cell Spatial Transcriptomics jobs in Boston, MA look for?

The top searched job categories for Single Cell Spatial Transcriptomics jobs in Boston, MA are:

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
Infographic showing various Single Cell Spatial Transcriptomics 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.

Research Scientist II - Analytical Genomics Laboratory

Scorpion Therapeutics

Cambridge, MA • On-site

$95 - $130/hr

Other

Posted 8 days ago

Job description

Key Responsibilities
  • Perform experiments using established single-cell and spatial profiling workflows.
  • Execute sample preparation, library construction, and sequencing-related protocols per SOPs and study plans.
  • Provide input on sample requirements, workflow feasibility, timing, and run setup (under guidance).
  • Support troubleshooting and implement approved protocol adjustments; escape technical issues as appropriate.
  • Ensure accurate documentation and reproducibility.
  • Operate and maintain relevant instruments (routine care and basic troubleshooting).
  • Support training of other staff on instrument use and protocol adherence.
  • Perform initial data processing for spatial and single-cell genomics datasets using appropriate bioinformatics tools.
  • Collaborate with data scientists; contribute to reports and internal presentations.
  • Work with local and remote cross-functional teams; communicate experimental status and technical observations.
  • Document work accurately; monitor QC measures to ensure data integrity and compliance with lab standards.
  • Stay current with advances in single-cell/spatial genomics and help integrate best practices into lab workflows.
Essential Requirements
  • MS (or BS + 2 years experience) in Molecular Biology, Genomics, Biochemistry, or related field (or equivalent experience).
  • 1–2 years hands-on experience with spatial transcriptomics and/or single-cell sequencing.
  • Knowledge of molecular biology techniques including PCR, qRT-PCR, enzymatic reactions, DNA/RNA purification and manipulation.
  • Experience troubleshooting and optimizing protocols (with guidance) for complex genomics assays.
  • Knowledge of NGS library preparation and sequencing workflows.
Desirable Requirements
  • Experience with tissue processing, imaging, IHC, and microscopy.
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