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Computational Spatial Transcriptomics Jobs in Boston, MA

... biomarker research, computational biology, statistical genetics, or related * 10+ years of ... spatial transcriptomics, methylation, imaging) * Credible as a thought partner with senior R&D ...

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Computational Spatial Transcriptomics information

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$59

$80

How much do computational spatial transcriptomics jobs pay per hour?

As of Aug 5, 2026, the average hourly pay for computational spatial transcriptomics in Boston, MA is $59.67, according to ZipRecruiter salary data. Most workers in this role earn between $50.91 and $79.90 per hour, depending on experience, location, and employer.

What are some typical challenges faced when working in computational spatial transcriptomics, and how can new team members prepare for them?

Professionals in computational spatial transcriptomics often encounter challenges related to handling and analyzing large, complex datasets that combine spatial and gene expression information. Integrating data from different technologies and ensuring data quality can be demanding, requiring strong programming skills and familiarity with bioinformatics pipelines. New team members can prepare by strengthening their skills in statistical analysis, programming languages like Python or R, and staying updated on the latest spatial transcriptomics techniques. Collaborating closely with experimental biologists and data scientists is also key to overcoming these challenges and driving successful research outcomes.

What is the difference between Computational Spatial Transcriptomics vs Computational Biologist?

AspectComputational Spatial TranscriptomicsComputational Biologist
Required CredentialsAdvanced degrees in bioinformatics, computational biology, or related fields; experience with spatial data analysisTypically a PhD or Master's in biology, bioinformatics, or related disciplines; strong programming skills
Work EnvironmentResearch labs, biotech companies, academic institutions focusing on spatial genomicsResearch institutions, biotech firms, academia working on biological data analysis
Industry UsageSpecialized in spatial transcriptomics techniques and data interpretationBroad biological data analysis across various fields

Computational Spatial Transcriptomics focuses on analyzing spatial gene expression data within tissues, requiring specialized skills in spatial data processing. In contrast, Computational Biologists work on a wider range of biological data types. While both roles involve bioinformatics expertise, the former emphasizes spatial data analysis techniques specific to transcriptomics.

What is computational spatial transcriptomics?

Computational spatial transcriptomics is a field that combines advanced computational methods with spatial transcriptomics, a technique that measures gene expression within the physical context of tissue samples. It involves processing and analyzing large datasets to map where specific genes are active within tissues, helping researchers understand how cells interact and function in their native environments. This approach is crucial for studies in developmental biology, cancer research, and neuroscience, as it provides insights into cellular organization and tissue architecture. Computational tools help extract meaningful patterns from complex data, enabling discoveries that were previously impossible with traditional methods.

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

To excel in Computational Spatial Transcriptomics, you need a strong background in bioinformatics, genomics, and statistical data analysis, typically supported by advanced degrees in computational biology or related fields. Familiarity with programming languages (such as R and Python), spatial transcriptomics platforms (like 10x Genomics Visium), and high-throughput sequencing data analysis tools is essential. Strong problem-solving skills, attention to detail, and effective communication are crucial soft skills for interpreting complex datasets and collaborating with multidisciplinary teams. These competencies ensure accurate data interpretation, innovative research, and successful integration of spatial transcriptomics insights into biological and clinical applications.
What are popular job titles related to Computational Spatial Transcriptomics jobs in Boston, MA? For Computational Spatial Transcriptomics jobs in Boston, MA, the most frequently searched job titles are:
What cities near Boston, MA are hiring for Computational Spatial Transcriptomics jobs? Cities near Boston, MA with the most Computational Spatial Transcriptomics job openings:
Infographic showing various Computational Spatial Transcriptomics job openings in Boston, MA as of July 2026, with employment types broken down into 70% Full Time, 28% Part Time, and 2% Contract. Highlights an 71% Physical, 2% Hybrid, and 27% Remote job distribution, with an average salary of $124,121 per year, or $59.7 per hour.

Discovery Postdoctoral Fellow, Spatial Transcriptomics - Neuroscience

Novartis Group Companies

Cambridge, MA • On-site

$53K - $72K/yr

Other

Medical, Life, Retirement, PTO

Posted 4 days ago


Job description

Job Description Summary

We are excited to invite applications for the Novartis Biomedical Research Postdoctoral Fellowship Program, a unique training opportunity designed for exceptional early-career scientists eager to tackle some of the most challenging problems in biomedical research and drug discovery.
As a Postdoctoral Research Fellow, you will join Neuroscience in Cambridge and pursue an innovative research project at the forefront of biomedical science and drug discovery. You will work alongside leading scientists in a highly collaborative, multidisciplinary environment while gaining exposure to the broader ecosystem that translates scientific discovery into medicines.
Our fellows are empowered to ask bold scientific questions, apply cutting-edge technologies, and develop approaches that have the potential to transform patient care.


Job Description

Internal Job Title: Discovery Postdoctoral Fellow

Position Location: Cambridge, MA, onsite

* Novartis is unable to offer relocation support for this role: please only apply if this location is accessible for you.

* This position is not eligible for visa sponsorship. Please only apply if you are currently authorized to work in the US for the 3 year duration of the program.

* This is a full-time training position of up to three years in duration.

Research Opportunity:

The Postdoctoral Fellow will leverage spatial transcriptomics, advanced bioinformatics, CRISPR engineering, and human iPSC-based functional assays to discover and validate novel therapeutic targets for amyotrophic lateral sclerosis (ALS) at the neuroimmune interface.

Why Join the Program?

The Novartis Biomedical Research Postdoctoral Fellowship Program is designed to develop the next generation of scientific leaders and power the future of medicine through rigorous research, and immersive learning experiences, including the implementation of AI tools in biomedical research.

Postdoctoral Research Fellows benefit from:

  • Guidance from accomplished scientific leaders and subject matter experts

  • Access to advanced technologies, platforms, and research capabilities

  • Collaboration across disciplines and organizational boundaries

  • A global and diverse community of postdoctoral fellows

  • Dedicated programming designed to help fellows thrive throughout their careers.

  • Personalized experiential learning opportunities through a Postdoc Practicum that empower fellows to explore new scientific domains, build cross-functional expertise, and expand their impact beyond their primary research project.

  • Opportunities to present research, publish in leading journals, and build an international scientific network

We are entering a new era of biomedical research breakthroughs through the convergence of biology, technology, and artificial intelligence tools, and fellows are also supported in engaging with these emerging approaches.

This is a full-time training position of up to three years in duration.

Reimagining Medicine Together

At Novartis, our purpose is to reimagine medicine to improve and extend people's lives. Through this program, you will grow as a scientist and future leader while contributing to discoveries that may ultimately benefit patients worldwide.

Start Date: The start date for the 2026 Novartis BR Postdoctoral Fellowship Program cohort is October 1, 2026. Please confirm your availability to meet this date in your cover letter. This is a full-time training position of up to three years in duration.

Key Responsibilities:

  • Establish and apply high-resolution spatial transcriptomics workflows to profile disease-relevant regions in ALS model systems and identify spatially organized gene-expression programs.

  • Develop and benchmark computational pipelines for spatial transcriptomic analysis, including spatial clustering, gene-module detection, ligand-receptor interaction mapping, and integration with single-cell and human ALS datasets.

  • Generate and characterize CRISPR-engineered knockout or knock-in human iPSC lines for selected spatially identified target genes.

  • Collaborate closely with multidisciplinary teams across neuroscience, functional genomics, bioinformatics, genome engineering, stem cell biology, and translational research.

  • Communicate research findings through internal presentations, conference abstracts, and peer-reviewed publications.

Essential Requirements:

  • PhD (or equivalent doctoral degree) in neuroscience, biology or related discipline (completed prior to the fellowship start date). The program is intended for scientists immediately following their PhD training (PhD conferred in 2026 only).

  • Demonstrated record of scientific achievement (publications, presentations, patents, or equivalent)

  • Strong commitment to learning, innovation, and professional development

  • Strong background in spatial transcriptomics, single-cell genomics, stem cell biology, functional genomics, or related areas.

  • Experience with human iPSC-derived cell lines and models.

  • Demonstrated ability to analyze complex omics datasets.

Desirable Requirements:

  • Hands-on experience with one or more relevant experimental platforms, such as tissue processing, transcriptomic profiling, human iPSC culture and differentiation, CRISPR/Cas9 genome editing, high-content imaging, co-culture systems, or functional cellular assays.

  • Familiarity with computational analysis of transcriptomic or spatial omics datasets, including use of tools or workflows such as Seurat, spatial clustering, differential gene-expression analysis, pathway analysis, or cell-cell communication analysis.

How to Apply:

Please submit your CV and cover letter by August 14th.

In your cover letter, please describe your research interests, career aspirations, and how participation in the Novartis Biomedical Research Postdoctoral Fellowship Program will support your long-term development.

Compensation & Benefits:

The starting salary for this position is 87,000 USD per year.

US-based eligible employees will receive a comprehensive benefits package that includes health, life anddisability benefits, a 401(k) with company contribution and match, and a variety of other benefits. Inaddition, employees are eligible for a generous time off package including vacation, personal days,holidays and other leaves.


To learn more about the culture, rewards and benefits we offer our people click here.


EEO Statement:

The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status.


Accessibility and reasonable accommodations

The Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please send an e-mail to us.reasonableaccommodations@novartis.com or call +1(877)395-2339 and let us know the nature of your request and your contact information. Please include the job requisition number in your message.


Salary Range

$57,800.00 - $107,300.00


Skills Desired

Analytical Thinking, Chemical Biology, Chemistry, Clinical Research, Clinical Trials, Collaboration, Curious Mindset, Data Analysis, Detail-Oriented, Ethics, Gene Therapy, Immunology, Machine Learning (ML), Mammalian Cell Culture, Medical Research, Molecular Biology, Patient Care, Science