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Spatial Transcriptomics Omics Jobs in Quincy, MA

AA2IT

Bioinformatics Scientist - II

Cambridge, MA · On-site

$75/hr

Experience: * 5+ years of hands-on experience in multi-omics data analysis and integration. * Proven work with RNA-Seq, single-cell RNA-Seq, genotype data, spatial transcriptomics, and proteomics (e ...

AA2IT

Bioinformatics Scientist - II

Cambridge, MA · On-site

$75/hr

Experience: * 5+ years of hands-on experience in multi-omics data analysis and integration. * Proven work with RNA-Seq, single-cell RNA-Seq, genotype data, spatial transcriptomics, and proteomics (e ...

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All JobsSpatial Transcriptomics Omics JobsSpatial Transcriptomics Omics Jobs in Quincy, MA

Spatial Transcriptomics Omics information

See Quincy, MA salary details

$51.5K

$213.9K

$420.6K

How much do spatial transcriptomics omics jobs pay per year?

As of Aug 18, 2026, the average yearly pay for spatial transcriptomics omics in Quincy, MA is $213,938.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,500.00 and $420,600.00 per year, depending on experience, location, and employer.

What is spatial transcriptomics in omics research?

Spatial transcriptomics is a cutting-edge technology in the field of omics that allows researchers to measure and map gene expression within the spatial context of intact tissue sections. This means scientists can see which genes are active in specific locations of a tissue, preserving the spatial relationships between cells. By combining spatial information with transcriptomic data, researchers gain deeper insights into tissue organization, cellular interactions, and disease mechanisms. This approach is especially valuable for understanding complex tissues like tumors or brain structures.

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

To thrive as a Spatial Transcriptomics Specialist, you need a strong background in molecular biology, genomics, and bioinformatics, typically supported by an advanced degree in a relevant field. Familiarity with high-throughput sequencing platforms, spatial omics technologies, and data analysis tools like R or Python is essential, along with experience using laboratory automation systems. Attention to detail, problem-solving abilities, and effective interdisciplinary communication are crucial soft skills for this role. These skills ensure accurate experimental design, robust data interpretation, and successful collaboration in cutting-edge biological research.

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

Professionals working in Spatial Transcriptomics Omics often encounter challenges such as managing and interpreting large, complex datasets, integrating multi-omics data, and keeping pace with rapidly evolving technologies. Effective collaboration with bioinformaticians, pathologists, and laboratory technicians is essential to ensure high-quality results. Staying updated with the latest analytical tools and participating in cross-disciplinary training can help overcome these challenges and enhance both research quality and career growth.

What is the difference between Spatial Transcriptomics Omics vs Spatial Transcriptomics Technician?

AspectSpatial Transcriptomics OmicsSpatial Transcriptomics Technician
Required CredentialsAdvanced degrees (Master's/PhD) in molecular biology, genomics, or related fieldsAssociate's or Bachelor's degree in biology, biotechnology, or related fields
Work EnvironmentResearch labs, biotech companies, academic institutionsLaboratories, research facilities, biotech companies
Industry UsageResearch and development, data analysis, method developmentSample preparation, data collection, equipment operation

Spatial Transcriptomics Omics professionals focus on data analysis, method development, and research, often requiring advanced degrees. In contrast, Spatial Transcriptomics Technicians handle sample preparation and operate equipment, typically with a technical diploma or bachelor's degree. Both roles are essential in the spatial transcriptomics industry but differ in responsibilities and qualifications.

What job categories do people searching Spatial Transcriptomics Omics jobs in Quincy, MA look for?

The top searched job categories for Spatial Transcriptomics Omics jobs in Quincy, MA are:

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

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

Spatial Transcriptomics Omics jobs near you
Infographic showing various Spatial Transcriptomics Omics job openings in Quincy, MA as of August 2026, with employment types broken down into 73% Full Time, 24% Part Time, 2% Contract, and 1% Nights. Highlights an 69% Physical, 3% Hybrid, and 28% Remote job distribution, with an average salary of $213,938 per year, or $102.9 per hour.

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

Whitehead Institute

Cambridge, MA

$55K/yr

Full-time

Posted 11 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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