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Spatial Transcriptomics Jobs in Malden, MA (NOW HIRING)

Bruker

Computational Biologist

Billerica, MA · On-site

$101K - $156K/yr

Support data analysis workflows and tools for Bruker's spatial biology platforms. * Respond to technical inquiries and assist with data quality issues across transcriptomics and proteomics workflows.

MapLight Therapeutics

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 ...

Vizgen Inc

Corporate Controller

Waltham, MA · On-site

$150K - $215K/yr

The company's groundbreaking MERSCOPE product utilizes MERFISH spatial transcriptomics technology to image RNA molecules with high accuracy and unrivaled detection efficiency at subcellular ...

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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 Jun 5, 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 are the key skills and qualifications needed to thrive as a Spatial Transcriptomics Scientist, and why are they important?

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 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 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:
Spatial Transcriptomics jobs near you

Scientist Nucleic Acids Computational Biology - Cambridge Crossing MA

National Guard Employment Network

Cambridge, MA • On-site

$75K - $100K/yr

Full-time

Posted 9 days ago

Job description

Job Description
ATTENTION MILITARY AFFILIATED JOB SEEKERS - Our organization works with partner companies to source qualified talent for their open roles. The following position is available to Veterans, Transitioning Military, National Guard and Reserve Members, Military Spouses, Wounded Warriors, and their Caregivers. If you have the required skill set, education requirements, and experience, please click the submit button and follow the next steps. Unless specifically stated otherwise, this role is "On-Site" at the location detailed in the job post.
JOB SUMMARY
We are seeking a highly motivated and innovative scientist to drive advances at the interface of RNA biology, computational modeling, and machine learning. In this role, you will design and implement cutting-edge computational approaches to uncover RNA structure-function relationships and to support discovery and development programs across the organization. You will work with complex datasets and build computational tools that provide high-throughput, data-driven insights to accelerate next-generation mRNA medicines.
The ideal candidate has a strong foundation in RNA biology, is proficient with RNA secondary structure analysis tools, and has hands-on programming experience in languages such as Python or R. You will work extensively in cloud-based, high-performance computing environments and apply modern software engineering practices to deliver robust, scalable, and well-documented computational solutions.
This is a highly collaborative role, requiring close partnership with both wet-lab and dry-lab teams. You will manage multiple dynamic projects, help shape scientific strategy, and clearly communicate findings to diverse stakeholders. A strong track record of impactful research-demonstrated by publications or patent contributions-is strongly preferred. If you excel in a fast-paced, interdisciplinary environment and are excited to push the boundaries of computational RNA science, we would love to hear from you.
RESPONSIBILITIES
Build and implement custom mRNA optimization strategies to fine tune expression, stability, and immunogenicity, and function of the RNA payload.
Innovate on mRNA designs by utilizing scientific literature to implement novel design principles.
Collaborate within the RNA sciences team to generate and analyze NGS data from RNA structure probing and other RNA biology-directed experiments such as SHAPE-MaP, DMS-MaP, ribosome profiling, RIP-seq etc.
Lead cross-functional collaboration with experimental biologists, molecular biologists, and therapeutic project teams to design studies, set experimental priorities, and validate computational discoveries.
Additional Qualifications/Responsibilities
Basic Qualifications
Bachelor's Degree 5+ years of academic / industry experience
Or Master's Degree 3+ years of academic / industry experience
Or PhD No experience required
Preferred Qualifications
Ph.D. +1 years in Computational Biology, Physics, Computer Sciences or related field.
Experience with diverse RNA sequencing modalities beyond standard RNA-seq (e.g., ribosome profiling, CLIP-seq, single-cell RNA-seq, SHAPE-seq, spatial transcriptomics)
Experience in applying AI/ML models to NGS datasets to elucidate RNA biology
Utilization of computational modeling to evaluate nucleic acid functions required
Ability to dissect RNA secondary structure prediction concepts and computational tools highly preferred
Experience with one or more programming or scripting languages such as Python and R
Experience with cloud computing platforms and high-performance computing environments
Compensation Overview:
Cambridge - MA - US: $141,150 - $171,042

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