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Computational Spatial Transcriptomics Jobs in Boston, MA

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Computational Spatial Transcriptomics information

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How much do computational spatial transcriptomics jobs pay per hour?

As of Jul 14, 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:

Bioinformatician - Computational Biology & AI Omics

Zifo

Boston, MA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 11 days ago


Job description

**This role will require full-time presence at our client site (5 days) in Boston**

**This role is not eliegible for relocation assistance**

Zifo is hiring an experienced Bioinformatician with a Scientific Informatics background. Someone that can build scientific relationships, understand industry challenges and shape our Bioinformatics Solutions, working in collaboration with our global Bioinformatics, Cloud and Data Science teams.

Our customers are accelerating their Scientific Informatics and Digital Transformation to accelerate the discovery and manufacturing of new Therapeutics, Drugs and Vaccines to save lives Faster! Consequently, we are rapidly growing and looking to expand our Bioinformatics team in North America.

This is an exciting opportunity to join our Global Bioinformatics Team to help leading Pharmaceutical and Biotech customers deploy and support cutting edge Bioinformatics Solutions and Technology globally. You will be responsible for deploying solutions that play a critical role in the early-stage optimization and development of assays by supporting analysis and interpretation of data for large biotech/pharma and other ‘Omics focused companies. By leading solution deployments for your customers, you engage, consult, design and implement global Bioinformatics Solutions that establish industry-leading Bioinformatics, Omics and Technology practices that are robust and scalable.

Responsibilities:

  • Understand current and emergent Bioinformatics problems, needs, requirements analysis, and design.
  • Engage the market and the genetics/-omics’ community to develop, commercialize, and expand our bioinformatics and multi-omics services taking input from customers, literature and conferences.
  • Deliver timely, scalable NGS and ‘omics solutions (e.g. genomics, transcriptomics, metagenomics, epigenomics, microbiome, metabolomics, single-cell and spatial omics and proteomics).
  • Apply molecular techniques, bioinformatics pipelines, relational data systems, and statistical analysis to generate biological insights using internal and external data sets, published literature, and other resources to accelerate biomarker discoveries.
  • Deliver robust, in-depth, and state-of-the-art analysis pipelines.
  • Integrate AI-driven approaches into bioinformatics workflows, including the use and fine-tuning of biological foundation models (e.g. scGPT and similar models) to enhance interpretation of multi-omics data.
  • Manage multiple projects simultaneously and complete analyses in a timely and reliable manner.
  • Research, assess, recommend, and integrate Bioinformatics Technology platforms.
  • Help customers estimate, plan, and prioritize Bioinformatics Technology implementation.
  • Be hands-on involved in critical bioinformatics program delivery.

Requirements

  • PhD or PostDoc in Computational Biology, Bioinformatics, Statistical Genetics
    Therapeutic Area.
  • Background in Oncology, Immunology, Neuroscience is a plus
  • Knowledge and understanding of public databases & tools (GEO, TCGA, OpenTargets et al), applications in drug discovery, analysis and integration of multi-omics & biobank data
  • Ability to correlate results, generate hypothesis and scientific insights for applications in biomarker identification, indication selection and patient stratification
  • Experience with biological foundation models, including fine-tuning and application of models such as scGPT, and other transformer-based or generative models for single-cell and multi-omics data, is highly desirable

Benefits

CURIOSITY DRIVEN, SCIENCE FOCUSED, EMPLOYEE BUILT. Our culture is unlike any other, one where we debate, challenge ourselves, and interact with all alike. We are a curious bunch, characterized by our passion to learn and spirit of teamwork. Zifo is a global R&D solutions provider focused on the industries of Pharma, Biotech, Manufacturing QC, Medical Devices, specialty chemicals and other research-based organizations. Our team’s knowledge of science and expertise in technology help Zifo better serve our customers around the globe, including 18 of the Top 20 Biopharma companies.

We look for Science – Biotechnology, Pharmaceutical Technology, Biomedical Engineering, Microbiology etc. We possess scientific and technical knowledge and bear professional and personal goals. While we have a “no doors” policy to promote free access within, we do have a tough door to walk in. We search with a two-point agenda – technical competency and cultural adaptability.

We offer a competitive compensation package including accrued vacation, medical, dental, vision, 401k with company matching, life insurance, and flexible spending accounts.

If you share these sentiments and are prepared for the atypical, then Zifo is your calling!

Zifo is an equal opportunity employer, and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.