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Transcriptomics Jobs in Cambridge, MA (NOW HIRING)

AbbVie

Computational Analyst (Neuroscience)

Cambridge, MA · On-site +1

$126K - $142K/yr

Work closely with other computational biologists/bioinformaticians to implement & execute analysis & integration of high dimensional OMICS data (i.e. genetics, transcriptomics, proteomics ...

Harvard University

Postdoctoral Fellow Nett Lab

Cambridge, MA · On-site

$54K - $73K/yr

Previous research experience in molecular biology, biochemistry, chemical biology, transcriptomics, proteomics, and/or metabolomics is recommended. Additional Qualifications Demonstrated record of ...

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All JobsTranscriptomics JobsTranscriptomics Jobs in Cambridge, MA

Transcriptomics information

See Cambridge, MA salary details

$53.6K

$222.4K

$437.2K

How much do transcriptomics jobs pay per year?

As of Aug 26, 2026, the average yearly pay for transcriptomics in Cambridge, MA is $222,385.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,800.00 and $437,200.00 per year, depending on experience, location, and employer.

What is transcriptomics?

Transcriptomics is the study of the complete set of RNA transcripts produced by the genome under specific circumstances or in a specific cell. It provides insights into gene expression patterns, how genes are regulated, and how cells respond to various conditions. By analyzing the transcriptome, researchers can better understand biological processes, disease mechanisms, and identify potential targets for therapy. Technologies such as RNA sequencing (RNA-seq) are commonly used in transcriptomics research.

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

Professionals in transcriptomics frequently encounter challenges such as handling large and complex datasets, ensuring data quality, and staying current with rapidly evolving analytical tools and technologies. Working closely with bioinformaticians and statisticians is essential for effective data analysis and interpretation. Additionally, clear communication and collaboration with wet-lab biologists and clinicians help bridge the gap between raw data and meaningful biological insights. Regular training and professional development can help transcriptomics professionals stay updated with the latest best practices and software advancements.

What are the key skills and qualifications needed to thrive as a transcriptomics scientist, and why are they important?

To thrive as a Transcriptomics Scientist, you need a strong background in molecular biology, genomics, and bioinformatics, typically supported by an advanced degree in a relevant field. Familiarity with next-generation sequencing (NGS) platforms, RNA-seq analysis pipelines, and programming languages like R or Python is essential. Attention to detail, problem-solving abilities, and effective communication skills set outstanding candidates apart. These competencies are vital for generating accurate transcriptomic data, interpreting complex results, and collaborating within multidisciplinary research teams.

What is the difference between Transcriptomics vs Bioinformatics?

AspectTranscriptomicsBioinformatics
Required credentialsBachelor's or Master's in Biology, Genetics, or related fields; experience with sequencing technologiesBachelor's or Master's in Computer Science, Bioinformatics, or related fields; programming skills
Work environmentLaboratories, research institutions, biotech companiesResearch labs, biotech firms, academic institutions, data analysis centers
Industry usageGenomics, molecular biology, medical researchData analysis, software development, computational biology

While both Transcriptomics and Bioinformatics involve analyzing biological data, Transcriptomics focuses on studying gene expression profiles using sequencing technologies, whereas Bioinformatics encompasses a broader range of computational methods to analyze various biological datasets. Professionals in both fields often collaborate but have distinct skill sets and work environments.

What are popular job titles related to Transcriptomics jobs in Cambridge, MA?

For Transcriptomics jobs in Cambridge, MA, the most frequently searched job titles are:

What job categories do people searching Transcriptomics jobs in Cambridge, MA look for?

The top searched job categories for Transcriptomics jobs in Cambridge, MA are:

What cities near Cambridge, MA are hiring for Transcriptomics jobs?

Cities near Cambridge, MA with the most Transcriptomics job openings:

Transcriptomics jobs near you
Infographic showing various Transcriptomics job openings in Cambridge, MA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 89% In-person, and 11% Hybrid job distribution, with an average salary of $222,385 per year, or $106.9 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 19 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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