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Single Cell Spatial Transcriptomics Jobs in Needham, MA

Research Technician

Boston, MA · On-site

$19.50 - $27/hr

Flow cytometry, multiplex tissue imaging, single-cell sequencing, or spatial omics. Applicants are not expected to have experience in all of these areas. Candidates with strong chemistry and cancer ...

Research Technician

Boston, MA · On-site

$19.50 - $27/hr

Flow cytometry, multiplex tissue imaging, single-cell sequencing, or spatial omics. Applicants are not expected to have experience in all of these areas. Candidates with strong chemistry and cancer ...

Sr. Quality Lab Specialist

Bedford, MA · On-site

$100K - $120K/yr

In 2025, Quanterix acquired Akoya Biosciences, The Spatial Biology Company ® , adding multiplexed tissue imaging with single-cell resolution to its portfolio. Together, the combined company offers a ...

Sr. Quality Lab Specialist

Bedford, MA · Hybrid

$100K - $120K/yr

In 2025, Quanterix acquired Akoya Biosciences, The Spatial Biology Company ® , adding multiplexed tissue imaging with single-cell resolution to its portfolio. Together, the combined company offers a ...

IT Compliance Analyst

Billerica, MA · On-site

$105K - $130K/yr

In 2025, Quanterix acquired Akoya Biosciences, The Spatial Biology Company ® , adding multiplexed tissue imaging with single-cell resolution to its portfolio. Together, the combined company offers a ...

Business Development Manager

Boston, MA · On-site

$105K - $150K/yr

In 2025, Quanterix acquired Akoya Biosciences, The Spatial Biology Company ® , adding multiplexed tissue imaging with single-cell resolution to its portfolio. Together, the combined company offers a ...

Showing results 41-60

Single Cell Spatial Transcriptomics information

See Needham, MA salary details

$13

$23

$32

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

As of Aug 7, 2026, the average hourly pay for single cell spatial transcriptomics in Needham, MA is $23.58, according to ZipRecruiter salary data. Most workers in this role earn between $18.32 and $29.57 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 the 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 job categories do people searching Single Cell Spatial Transcriptomics jobs in Needham, MA look for? The top searched job categories for Single Cell Spatial Transcriptomics jobs in Needham, MA are:
What cities near Needham, MA are hiring for Single Cell Spatial Transcriptomics jobs? Cities near Needham, MA with the most Single Cell Spatial Transcriptomics job openings:
Infographic showing various Single Cell Spatial Transcriptomics job openings in Needham, MA as of June 2026, with employment types broken down into 2% Locum Tenens, 96% Full Time, 1% Part Time, and 1% Nights. Highlights an 76% Physical, 2% Hybrid, and 22% Remote job distribution, with an average salary of $49,045 per year, or $23.6 per hour.

AI Scientist - Image Analysis & Digital Pathology

Novartis Pharmaceuticals Corporation

Cambridge, MA • On-site

Full-time

Retirement

Posted 10 days ago


Job description

Band

Level 4


Job Description Summary

Location: Cambridge or Basel
Onsite
Relocation is offered for this role.
#LI-Onsite
The Oncology Data Science team in Biomedical Research at Novartis works at the intersection of oncology drug discovery, computational biology, AI/ML, and data engineering. We are seeking an enthusiastic AI/ML scientist with deep expertise in digital pathology and a strong curiosity for translational research to join the AI & Innovation Team.
This role will apply advanced AI approaches to generate insights from complex imaging datasets and support our oncology drug discovery programs.


Job Description

Key responsibilities:

  • Develop and apply AI / deep learning approaches to extract insights from digital pathology imaging datasets (e.g., H&E, IHC, mIF, Spatial transcriptomics).
  • Work with foundational models, including pre-trained, self-supervised, multi-purpose, and multi-modal models to advance generative AI applications in drug discovery.
  • Support imaging biomarker development efforts by analyzing pathology imaging data and collaborate with pathologists and translational teams to interpret image-derived biomarkers and biological findings.
  • Contribute to evaluation, validation, and benchmarking of image analysis algorithms and workflows.
  • Perform tissue segmentation, cell phenotyping, feature extraction, and spatial analysis using state-of-the-art computational approaches.
  • Stay current with advances in computational pathology, AI/ML, and spatial biology technologies; contribute to scientific publications; and present results at internal and external scientific conferences.

Requirements:

  • Ph.D.in Machine Learning, Computer Science, Applied Mathematics, Computational Biology or related field. Candidates with MSc in Machine Learning, Computer Science, Applied Mathematics, Computational Biology or related field, with 4+ years of relevant industry experience will also be considered.
  • Strong experience analyzing pathology imaging modalities including H&E, IHC, multiplex IF, and / or spatial transcriptomics data.
  • Understanding of machine learning methods for segmentation, classification, detection, and representation learning.
  • Experience in one or more of the following areas: generative AI, digital pathology foundation models, geometric deep learning and / or multi-modal learning.
  • Excellent programming skills and proficiency in deep learning frameworks such as PyTorch, with openness to learning new tools and technologies.
  • Strong communication and collaboration skills with the ability to communicate complex data insights and recommendations to cross-functional teams.
  • Strong research skills, evidenced by publications in leading scientific journals and / or conference presentations.

Rewards

At Novartis,we'recommitted to reimagining medicine together - and rewarding the people who make it happen.

The rewards of being part of our team go far beyond base pay and incentives.We also offer a variety of competitive benefits inkindto help you thrive personally and professionally, such as insurance plans, retirement plans, wellbeingresourcesand global recognition programs. In addition, we provide flexible and hybrid working options, where possible, anda minimum of14 weekspaid parental leave.

Expected Annual Base Salary Range for role:

  • US: 126,000.00 - 234,000.00 USD Annual

The salary offered isdeterminedbased on gender-neutralobjectives, such as relevant skills,competenciesand experiencein accordance withthe Novartis pay setting policy and upon joining Novartis will be reviewed periodically.

In addition to your base salary, you may be eligible for a performance-based bonus depending on certain performance parameters. Further details will be provided during the application process.

Pay equity is a fundamental principle of our employment policy and reflects our commitment to create a diverse,equitableand inclusive environment that treats all employees with dignity and respect, as outlined in our Code of Ethics.

Readourbrochureto learn more about our global total rewards offering:https://www.novartis.com/sites/novartis_com/files/novartis-life-handbook.pdf

Note: Benefits and compensation may vary by country and are subject to local legal requirements, including provisions of collective bargaining agreements where applicable. A full overview of your compensation package, including any relevant collective bargaining agreement details applicable to your role based on your employment location and Novartis employer entity, will be communicated separately to you during the applicationprocess.

Why Novartis:Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating,supportingand inspiring each other. Combining to achieve breakthroughs that change patients' lives. Ready to create a brighter future together?https://www.novartis.com/about/strategy/people-and-culture

Benefits and Rewards:Read our handbook to learn about all the wayswe'llhelp you thrive personally and professionally:https://www.novartis.com/careers/benefits-rewards


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, gender, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status. We strive to create an inclusive workplace that cultivates bold innovation through collaboration and empowers our people to unleash their full potential.


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 in order to perform the essential functions of a position, please send an e-mail to tas.nacomms@novartis.com 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.
https://www.novartis.com/careers/careers-research/notice-all-applicants-us-job-openings


Salary Range

$126,000.00 - $234,000.00


Skills Desired

Artificial Intelligence (AI), Biostatistics, Change Management, Curious Mindset, Data Governance, Data Literacy, Data Quality, Data Science, Data Visualization, Deep Learning, Graph Algorithms, Learning Agility, Machine Learning (ML), Machine Learning Algorithms, Python (Programming Language), Stakeholder Engagement, Statistical Analysis, Time Series Analysis