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Spatial Transcriptomics Jobs in Danvers, MA (NOW HIRING)

Jj

Principal Scientist, Spatial Omics

Cambridge, MA

Experience with spatial transcriptomics, genetic library design, massively parallel reporter assays, CRISPR-based perturbation approaches, pooled screening technologies, and cell engineering is ...

Thermo Fisher

Scientist - Histology

Boston, MA · On-site

$35 - $40/hr

Prepare tissue samples for spatial transcriptomics workflows, including slide preparation and sample quality assessment * Assist with optimization and execution of spatial transcriptomics sample ...

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All JobsSpatial Transcriptomics JobsSpatial Transcriptomics Jobs in Danvers, MA

Spatial Transcriptomics information

See Danvers, MA salary details

$51.8K

$215.2K

$423K

How much do spatial transcriptomics jobs pay per year?

As of Aug 27, 2026, the average yearly pay for spatial transcriptomics in Danvers, MA is $215,150.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,000.00 and $423,000.00 per year, depending on experience, location, and employer.

What is spatial transcriptomics?

Spatial transcriptomics is an advanced technique that allows scientists to measure gene expression within the spatial context of tissue samples. Unlike traditional RNA sequencing, which loses information about where each gene is expressed, spatial transcriptomics preserves the physical location of gene activity in tissues. This helps researchers better understand how cells function within their native environments and interact with neighboring cells, which is especially valuable in fields like cancer research, neuroscience, and developmental biology. The method combines microscopy, molecular biology, and computational analysis to produce detailed maps of gene expression.

What are the key skills and qualifications needed to thrive as a spatial transcriptomics scientist?

To thrive as a Spatial Transcriptomics Scientist, you need a strong background in molecular biology, genomics, and bioinformatics, typically supported by an advanced degree in a life science field. Familiarity with spatial transcriptomics platforms (such as 10x Genomics Visium), next-generation sequencing (NGS) technologies, and data analysis tools like R or Python is essential. Strong problem-solving skills, attention to detail, and effective communication are important soft skills for collaborating on interdisciplinary research projects. These skills and qualities are crucial for generating high-quality spatial gene expression data and translating findings into meaningful biological insights.

What are some common challenges faced by professionals working in spatial transcriptomics, and how can they be addressed?

Professionals in spatial transcriptomics often encounter challenges related to handling large, complex datasets and integrating spatial information with gene expression data. Ensuring high-quality sample preparation and mastering advanced imaging or sequencing technologies are also frequent hurdles. These challenges can be addressed by collaborating closely with multidisciplinary teams—including bioinformaticians, molecular biologists, and imaging specialists—and staying up-to-date with the latest software tools and protocols. Continuous learning and effective communication within the team are key to overcoming technical and analytical obstacles in this rapidly evolving field.

What cities near Danvers, MA are hiring for Spatial Transcriptomics jobs?

Cities near Danvers, MA with the most Spatial Transcriptomics job openings:

Spatial Transcriptomics jobs near you
Infographic showing various Spatial Transcriptomics job openings in Danvers, MA as of August 2026, with employment types broken down into 74% Full Time, 22% Part Time, 1% Temporary, and 3% Contract. Highlights an 72% Physical, 3% Hybrid, and 25% Remote job distribution, with an average salary of $215,150 per year, or $103.4 per hour.

Technician I or II - Spatial Omics/MERFISH- Sun Lab (Relocation Assistance Available)

Cambridge, MA • On-site

Whitehead Institute
501 - 1,000 employees
Learn more about Whitehead Instituteexternal

$55K/yr

Full-time

Posted 20 days ago

Job description

Classification:

Exempt

Job Family:

Technicians

Reports to:

AI Whitehead Fellow

Job Description Summary:

OVERALL RESPONSIBILITY
Collaborate on short- and long-term research projects to support the scientific objectives of the laboratory. Perform spatial transcriptomics experiments and associated molecular biology procedures, with a focus on MERFISH and related technologies. Support the development, optimization, and execution of imaging-based transcriptomics workflows and associated data preprocessing pipelines, ensuring high-quality experimental data generation that supports computational modeling and biological discovery. Depending on experience level, the technician may contribute to protocol development, computational workflows, and experimental design.
RESEARCH BACKGROUND AND GOALS
The Sun Lab seeks a highly motivated Spatial Omics Technician interested in combining experimental biology (80%) with computational analysis (20%). Our research focuses on understanding how cells communicate and organize within tissues using large-scale spatial transcriptomics and single-cell genomics technologies.
The successful candidate will contribute to establishing and scaling MERFISH-based experiments, including probe design, tissue processing, imaging workflows, and data preprocessing. This position provides opportunities for hands-on training with cutting-edge spatial transcriptomics technologies for early career candidates, while offering experienced candidates the opportunity to independently optimize workflows and contribute to technology development in close collaboration with computational researchers developing AI models to interpret these datasets.

CHARACTERISTIC DUTIES

  • Perform spatial transcriptomics experiments, including MERFISH sample preparation, hybridization, and imaging workflows
  • Prepare tissue samples (e.g., cryosectioning, fixation, staining) for spatial transcriptomics experiments
  • Assist with or perform probe design and optimization for MERFISH and related spatial technologies
  • Assist with, run, and maintain spatial transcriptomics preprocessing pipelines, including decoding, segmentation, and quality control
  • Organize and manage spatial imaging datasets and associated metadata
  • Develop, implement or modify or implement scripts for probe design, data preprocessing, and quality assessment, as appropriate based on experience
  • Work closely with computational team members to ensure data compatibility with downstream analysis pipelines
  • Maintain detailed experimental documentation and protocols
  • Present experimental progress and results to lab members and collaborators
  • Contribute to the development and optimization of experimental workflows, consistent with experience and level of responsibility

QUALIFICATIONS

  • BSc or MSc (or equivalent) in Molecular Biology, Bioengineering, Genomics, Bioinformatics, or a related field
  • Experience with molecular biology techniques such as RNA handling, hybridization assays, or microscopy
  • Experience with spatial transcriptomics technologies (e.g., MERFISH, Xenium, Slide-seq, seqFISH, or related platforms) is preferred for more experienced candidates but not required for entry-level
  • For Technical Assistant II level candidates: Demonstrated experience independently performing complex molecular biology workflows, troubleshooting experiments, optimizing protocols, and/or working with computational or image analysis pipelines is preferred
  • Basic programming or scripting experience (e.g., Python, R, or MATLAB) is preferred
  • Experience with image analysis or bioinformatics tools is a plus
  • Strong organizational and problem-solving skills
  • Ability to work independently and collaboratively in an interdisciplinary research environment
  • Excellent communication skills and attention to detail

The title (Technician I or Technician II) will be determined based on the candidate's education, prior experience, technical expertise, and demonstrated independence.

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: $47,500

  • Pay Range Maximum: $55,000


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