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Single Cell Spatial Transcriptomics Jobs in Massachusetts

$106K - $159K/yr

Integrate spatial metabolomics/proteomics with transcriptomics, genomics, and histopathology images ... regions, cell types, and phenotypes Develop and apply algorithms for spatial segmentation ...

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Single Cell Spatial Transcriptomics information

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 Massachusetts look for? The top searched job categories for Single Cell Spatial Transcriptomics jobs in Massachusetts are:
What cities in Massachusetts are hiring for Single Cell Spatial Transcriptomics jobs? Cities in Massachusetts with the most Single Cell Spatial Transcriptomics job openings:
Infographic showing various Single Cell Spatial Transcriptomics job openings in Massachusetts as of August 2026, with employment types broken down into 1% Locum Tenens, 1% As Needed, 77% Full Time, 18% Part Time, and 3% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution.

Computational Biologist - Spatial Multi-Omics

Bayer Inc.

Cambridge, MA • On-site

$106K - $159K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 14 days ago


Bayer rating

8.2

Company rating: 8.2 out of 10

Based on 69 frontline employees who took The Breakroom Quiz

33rd of 86 rated pharmaceutical


Job description

At Bayer we're visionaries, driven to solve the world's toughest challenges and striving for a world where 'Health for all Hunger for none' is no longer a dream, but a real possibility. We're doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining 'impossible'. There are so many reasons to join us. If you're hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there's only one choice.

Computational Biologist - Spatial Multi-Omics 

Bayer has an opening for a Computational Biologist - Spatial Multi-Omics to join our Translational Sciences Cardiovascular Renal Team based at the Bayer Innovation Campus in the heart of Kendall Sq, Cambridge, MA.

We are seeking a highly skilled Bioinformatics Scientist to join our team, focusing on the development and maintenance of scalable pipelines for spatial and deep visual multi-omics analysis. The successful candidate will play a crucial role in integrating various omics data types to drive insights for target discovery, biomarker development, and mechanism-of-action studies.

YOUR TASKS AND RESPONSBILITIES

The primary responsibilities of the Computational Biologist - Spatial Multi-Omics are to:

  • Build and maintain scalable pipelines for spatial and deep visual multi-omics analysis, including data ingestion, QC, normalization, batch correction, feature extraction, and annotation from mass-spectrometry and transcriptomics platforms.
  • Integrate spatial metabolomics/proteomics with transcriptomics, genomics, and histopathology images to deliver multi-modal insights for target discovery, biomarker development, and mechanism-of-action studies.
  • Evaluate, benchmark, and optimize tools and workflows; contribute to internal software (R/Python) and visualization frameworks to streamline spatial omics analytics.
  • Perform spatially aware statistical analyses to identify regulated molecular markers across tissue regions, cell types, and phenotypes
  • Develop and apply algorithms for spatial segmentation, clustering, co-localization, neighborhood analysis, and spatial correlation; conduct pathway/network analyses.
  • Collaborate with experimental biologists, pathologists, chemists, and clinicians to shape hypotheses, design studies, and translate findings into decisions for research programs.
  • Document pipelines and analyses to ensure reproducibility, compliance, and knowledge transfer; prepare clear visualizations and narratives for internal reviews, publications, and external collaborations.
  • Partner with data engineering/IT to manage large spatial datasets, define metadata standards, and implement versioning, governance, and access control best practices.

WHO YOU ARE

Bayer seeks an incumbent who possesses the following:

Required qualifications:

  • PhD in Computational Biology, Bioinformatics, Systems Biology, Biostatistics, Computer Science, or related field; or MSc with substantial relevant experience.
  • Hands-on experience analyzing mass spectrometry and transcriptomics spatial data, including QC, normalization, feature extraction, and statistical interpretation.
  • Background in image analysis and spatial statistics (segmentation, registration, spatial point patterns, neighborhood analysis). Exposure to machine learning or deep learning for omics or imaging data.
  • Familiarity with MS and spatial tools like MZmine, MaxQuant, Proteome Discoverer, Skyline, OpenMS, etc.; and spatial frameworks like Squidpy, Giotto, Seurat/Spatial, Napari, ImageJ/Fiji, CellProfiler, etc.
  • Experience with pathway/network analysis (e.g., KEGG, Reactome, MetaboAnalyst, Cytoscape).
  • Proficiency in Python and/or R; comfort with Linux/Unix environments, high-performance computing, and version control (Git).
  • Demonstrated ability in high-dimensional data analysis, statistics, and reproducible pipeline development.
  • Solid understanding of molecular biology, biochemistry, and metabolism to interpret results and design analyses.
  • Strong communication skills; experience collaborating within interdisciplinary teams and presenting complex results to diverse audiences

Employees can expect to be paid a salary between $106,400.00 - $159,600.00. Additional compensation may include a bonus or commission (if relevant).  Additional benefits include health care, vision, dental, retirement, PTO, sick leave, etc.

This salary range is merely an estimate and may vary based on an applicant's location, market data/ranges, an applicant's skills and prior relevant experience, certain degrees and certifications, and other relevant factors.

This posting will be available for application until at least 08/17/2026

    YOUR APPLICATION      

Bayer offers a wide variety of competitive compensation and benefits programs. If you meet the requirements of this unique opportunity, and want to impact our mission Health for all, Hunger for none, we encourage you to apply now. Be part of something bigger. Be you. Be Bayer. 
To all recruitment agencies: Bayer does not accept unsolicited third party resumes.
Bayer is an Equal Opportunity Employer/Disabled/Veterans
Bayer is committed to providing access and reasonable accommodations in its application process for individuals with disabilities and encourages applicants with disabilities to request any needed accommodation(s) using the contact information below. 

  Equal Opportunity Employer Statement: Notice for U.S. Visitors: All information on this site is subject to compliance with local rule and regulations as they may vary from time to time and across different geographies, including, without limitation, U.S. Executive Orders.       Bayer is an E-Verify Employer.               Location: United States : Massachusetts : Cambridge      Division: Pharmaceuticals     Reference Code: 868556          Contact Us     Email: hrop_usa@bayer.com 

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About Bayer

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Bayer is a global enterprise with core competencies in the life science fields of healthcare and nutrition. We design our products and services to help people and planet thrive by supporting efforts to address the unprecedented global challenges presented by a growing and aging global population. At Bayer, we’re committed to drive sustainable development and generate a positive impact with our businesses. Through bold ideas and unprecedented insights, we’re pioneering new possibilities that advance life for all of us. That means reimagining how we care for ourselves and one another by empowering everyday health, improving approaches to patient care, and finding better ways to nourish our communities around the world.

Industry

Agriculture

Company size

10,000+ Employees

Headquarters location

Whippany, NJ, US