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Single Cell Spatial Transcriptomics Jobs in Boston, MA

Proven work with RNA-Seq, single-cell RNA-Seq, genotype data, spatial transcriptomics, and proteomics (e.g., OLINK). Technical Skills: * Strong programming skills in R, Python, and Bash. * Experience ...

... and spatial transcriptomics/proteomics. * Proactively identify technical artifacts, interpret ... Stay at the forefront of the single-cell and spatial genomics field by surveying, evaluating ...

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

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Single Cell Spatial Transcriptomics information

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How much do single cell spatial transcriptomics jobs pay per hour?

As of Jul 27, 2026, the average hourly pay for single cell spatial transcriptomics in Boston, MA is $23.51, according to ZipRecruiter salary data. Most workers in this role earn between $18.27 and $29.52 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Single Cell Spatial Transcriptomics Scientist, and why are they important?

To thrive as a Single Cell Spatial Transcriptomics Scientist, you need a strong background in molecular biology, genomics, and bioinformatics, typically supported by an advanced degree (PhD or MSc) in a relevant field. Familiarity with high-throughput sequencing platforms, spatial transcriptomics technologies (like 10x Genomics Visium or NanoString GeoMx), and data analysis tools such as R or Python is essential. Critical thinking, problem-solving, and effective communication are crucial soft skills for interpreting complex data and collaborating in multidisciplinary teams. These skills and qualities are vital for generating reliable insights into cellular function and spatial organization, which drive innovative research and discovery.

What are some typical challenges faced by professionals working in Single Cell Spatial Transcriptomics, and how can they be addressed?

Professionals in Single Cell Spatial Transcriptomics often encounter challenges related to handling large, complex data sets and integrating spatial information with single-cell transcriptomic profiles. These tasks demand strong computational skills and close collaboration with bioinformaticians and other researchers. Effective communication within interdisciplinary teams is essential to ensure experimental design aligns with downstream analysis needs. Staying updated with rapidly evolving technologies and best practices also helps professionals overcome technical hurdles and produce reliable, high-impact results.

What is single cell spatial transcriptomics?

Single cell spatial transcriptomics is a cutting-edge technique that allows researchers to analyze gene expression in individual cells while preserving their spatial location within a tissue. This method combines the high-resolution insights of single-cell RNA sequencing with spatial information, enabling scientists to understand how cells interact and organize within their native environments. It is widely used in biomedical research to study tissue architecture, disease mechanisms, and cellular heterogeneity.
What are popular job titles related to Single Cell Spatial Transcriptomics jobs in Boston, MA? For Single Cell Spatial Transcriptomics jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Single Cell Spatial Transcriptomics jobs in Boston, MA look for? The top searched job categories for Single Cell Spatial Transcriptomics jobs in Boston, MA are:
What cities near Boston, MA are hiring for Single Cell Spatial Transcriptomics jobs? Cities near Boston, MA with the most Single Cell Spatial Transcriptomics job openings:
Infographic showing various Single Cell Spatial Transcriptomics job openings in Boston, MA as of July 2026, with employment types broken down into 1% As Needed, 76% Full Time, 22% Part Time, and 1% Contract. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution, with an average salary of $48,911 per year, or $23.5 per hour.
Discovery Postdoctoral Fellow, Spatial Transcriptomics - Neuroscience

Discovery Postdoctoral Fellow, Spatial Transcriptomics - Neuroscience

Novartis

Cambridge, MA

$53K - $72K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 4 days ago


Novartis rating

7.4

Company rating: 7.4 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

65th of 86 rated pharmaceutical


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 July 25, 2026.

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

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