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Spatial Transcriptomics Jobs in Malden, MA (NOW HIRING)

Clinical Data Manager

Burlington, MA · On-site

$145K - $160K/yr

We combine cutting-edge technologies including optogenetics, in vivo physiology, and spatial transcriptomics to identify novel drug targets and develop effective therapies to address psychiatric ...

Experience with single-cell RNA-seq, ATAC-seq, WGS, or spatial transcriptomics platforms. * Familiarity with handling and processing human tissues. * Prior exposure to next-generation sequencing ...

... spatial transcriptomics, methylation, imaging) * Credible as a thought partner with senior R&D leaders on patient-centered prediction topics; able to engage across both scientific and business ...

... spatial transcriptomics, methylation, imaging) * Credible as a thought partner with senior R&D leaders on patient-centered prediction topics; able to engage across both scientific and business ...

Showing results 21-40

Spatial Transcriptomics information

See Malden, MA salary details

$51.1K

$212.2K

$417.2K

How much do spatial transcriptomics jobs pay per year?

As of Aug 6, 2026, the average yearly pay for spatial transcriptomics in Malden, MA is $212,208.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,900.00 and $417,200.00 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 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 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 popular job titles related to Spatial Transcriptomics jobs in Malden, MA? For Spatial Transcriptomics jobs in Malden, MA, the most frequently searched job titles are:
What job categories do people searching Spatial Transcriptomics jobs in Malden, MA look for? The top searched job categories for Spatial Transcriptomics jobs in Malden, MA are:
What cities near Malden, MA are hiring for Spatial Transcriptomics jobs? Cities near Malden, MA with the most Spatial Transcriptomics job openings:

Postdoctoral Associate - Xavier Lab

Broad Institute

Cambridge, MA • On-site

$70K - $92K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 3 days ago


Job description

General information
Location
Cambridge, MA
Ref #
44291
Job Family
Research
Workplace
On-Site
Date published
07/07/2026
Time Type
Full time
Pay Range
$70,000.00/yr - $92,666.67/yr
Description & Requirements
The Broad Institute of MIT & Harvard is seeking a highly motivated Postdoctoral Associate to join the Xavier Lab and Klarman Cell Observatory and lead data analysis and algorithm development designed to determine the underlying factors contributing to health and disease, with a strong focus on discovering disease mechanisms at the level of their molecular and cellular pathways.
We are an interdisciplinary group with expertise in computational biology, functional genomics, microbiology, and immunology. The candidate for this position will be working closely with computational and experimental biologists, including Principal Investigators, graduate students, and staff scientists in the group. They will contribute by directing, planning, and executing the analyses of large multi-omic datasets with the goal of identifying biological features (e.g., variants, genes, microbes) that are relevant to human health. Prospective applicants should have made significant contributions to their area of study, as evidenced by a strong publication record. We are seeking creative and highly motivated individuals who want to work in a dynamic, multi- disciplinary research environment.
The ideal candidate will be the computational analysis lead for projects discovering the mechanisms behind inflammatory and autoimmune diseases. They should have excellent technical expertise while being driven to make a biological impact. In particular, we are seeking a postdoc to take primary leadership for analyzing spatial and single-cell multiomics datasets collected from human tissue samples as well as mouse models.
Responsibilities
  • Oversee data generation and data analysis across various internal and external collaborations. Includes working datasets such as single-cell RNA-Seq, single-cell ATAC-Seq, spatial transcriptomics, proteomics, metabolomics, and/or microbiome data.
  • Demonstrate flexibility to execute tasks requiring various skill levels and learn new skills as needed.
  • Perform analyses using current processes and identify, propose, and implement improvements to ensure output of high-quality datasets.
  • Work with other team members and leadership to plan project requirements and timelines, shift priorities as needed, and efficiently execute project tasks.
  • Identify and help solve methodological problems, including adjustments to experimental and computational protocols to ensure generation of high-quality datasets suited to answer core biological questions.
  • Use single cell and spatial transcriptomic approaches to understand tissue organization and how they are altered in disease environments such as chronic inflammation.
  • Use a systems medicine approach to understand inflammatory and other diseases.
  • Develop novel methods to facilitate exploration of unstructured datasets.
  • Write well-crafted, maintainable, scalable, and performant code.
  • Lead and carry out projects with minimal supervision.
  • Participate in writing papers and grant proposals.
  • Present project progress during group meetings.

Qualifications
  • Ph.D. in Computational Biology, Computer Science, Physics, Math, Statistics, or related quantitative fields and strong knowledge of a variety of biological areas of research with 0+ years of experience within the field.
  • Scientific and numerical programming in Python or R and knowledge of class ML methods and deep learning methods.
  • Well versed in a variety of bioinformatic analyses, including Next Generation Sequencing pipelines (single-cell RNA-Seq, single-cell ATAC-Seq, spatial transcriptomics analyses etc...).
  • Excellent critical thinking, research, and analytical skills.
  • Excellent communication and interpersonal skills and the ability to work with biologists, computational biologists, data scientists, and software engineers.
  • Must be able to work independently as well as part of a team in a fast-paced, highly collaborative environment.
  • Demonstrated ability to carry out a variety of tasks in parallel, recognize and solve problems effectively, and shift priorities rapidly.

Selected Publications
Intra- and Inter-cellular Rewiring of the Human Colon during Ulcerative Colitis
https://pubmed.ncbi.nlm.nih.gov/31348891/
The landscape of immune dysregulation in Crohn's disease revealed through single-cell transcriptomic profiling in the ileum and colon
https://pubmed.ncbi.nlm.nih.gov/36720220/
Bidirectional CRISPR screens decode a GLIS3-dependent fibrotic cell circuit
https://pubmed.ncbi.nlm.nih.gov/41501466/
Population-scale multiome immune cell atlas reveals complex disease drivers
https://www.medrxiv.org/content/10.1101/2025.11.25.25340489v1
A structure-informed deep learning framework for modeling TCR-peptide-HLA interactions
https://www.biorxiv.org/content/10.64898/2026.03.31.715361v2.full
Bridging AI and biology: Foundation models meet human physiology and disease
https://pubmed.ncbi.nlm.nih.gov/41519120/
The expected base pay range for this position as listed above is based on a 40 hour per week schedule. Broad provides pay ranges representing its reasonable and good faith estimate of what the organization reasonably expects to pay for a position at the time of posting. Actual compensation will vary based on factors including but not limited to, relevant skills, experience, education, qualifications, and other factors permissible by law.
The expected base pay range for this position as listed above is based on a 40 hour per week schedule. Broad provides pay ranges representing its reasonable and good faith estimate of what the organization reasonably expects to pay for a position at the time of posting. Actual compensation will vary based on factors including but not limited to, relevant skills, experience, education, qualifications, and other factors permissible by law.
At Broad, your base pay is just one part of a comprehensive total rewards package. From day one, this role offers a competitive benefits package including medical, dental, vision, life, and disability insurance; a 401(k) retirement plan; flexible spending and health savings accounts; at least 13 paid holidays; winter closure; paid time off; parental and family care leave; and an employee assistance program, among other Broad benefits.
The Broad Institute is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, disability, protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.
Should you need a reasonable accommodation to complete the application or interview process, please contact recruiting@broadinstitute.org for assistance.