Senior Scientist, Computational Oncology

Stellaromics
Location
San Diego, CA / Boston, MA
Job Type
Full-time
Posted
September 5, 2026
Views
25

Job Description

  • We are seeking a hands-on Computational Oncology expert to drive our spatial biology initiatives, bringing deep analytical rigor and biological intuition to complex tumor microenvironment datasets. This individual will serve as the core technical anchor for our oncology programs, bridging raw molecular data and high-resolution biological insight.

Key Responsibilities

  • Lead computational analysis and biological interpretation of high-dimensional spatial and single-cell oncology datasets.
  • Analyze tumor microenvironment biology, including cellular composition, cell states, spatial organization, neighborhood dynamics, immune–tumor interactions, and tumor heterogeneity.
  • Develop and apply analytical approaches for cellular segmentation, deconvolution, spatial neighborhood analysis, biomarker discovery, and tissue architecture characterization.
  • Translate complex datasets into biologically meaningful hypotheses and actionable insights for oncology research.
  • Partner closely with wet-lab scientists on experimental design, sample selection, panel design, controls, assay optimization, validation, and quality assessment.
  • Apply strong biological judgment to spatial outputs, recognizing whether observed cellular arrangements and tissue architectures reflect biological reality or potential technical artifacts.
  • Develop, optimize, and maintain reproducible computational workflows for high-dimensional spatial datasets.
  • Help benchmark and validate new analytical approaches and provide computational insights that inform assay and platform development.
  • Collaborate across scientific, computational, engineering, product, and commercial teams to advance Stellaromics’ spatial biology capabilities.
  • Engage with external collaborators and commercial partners to understand scientific questions, interpret results, and communicate the value of spatial approaches in oncology.
  • Clearly communicate complex scientific findings through presentations, scientific discussions, reports, publications, posters, and/or conference presentations.
  • Bring scientific curiosity, ownership, and adaptability to complex problems in a rapidly evolving biotechnology environment.

Qualifications

Essential Qualficaitions

  • PhD in cancer biology, molecular biology, genomics, computational biology, or a related field (or an MS with equivalent industry experience).
  • Working fluency in spatial and single-cell computational concepts, specifically segmentation, deconvolution, and neighborhood analysis.
  • Direct hands-on experience with major spatial platforms (Xenium, CosMx, GeoMx, MERSCOPE, Visium) or a demonstrated ability to independently stand up complex molecular platforms from scratch.
  • Industry experience gained within biotech, pharma, platform vendors, or specialized core facilities.
  • Individual contributor role: you prefer hands-on technical execution over managing direct reports or running a facility.
  • Strong spatial intuition and an instinctive eye for data validity.
  • Exceptional interpersonal and collaborative communication skills.
  • The instinctive eye: can look at a spatial dataset and immediately sense whether cells are where they should be.

Nice-to-Have Qualifications

  • Specific domain expertise in CRC or other gastrointestinal oncology tissue types.
  • Combined experience working directly with both major spatial platforms and GI/CRC tissues.
  • Proven panel design and validation experience tailored for tumor microenvironment applications.
  • Comfort communicating complex technical details across bench, computational, and external/commercial audiences.
  • Hands-on wet-lab proficiency with oncology tissues, including tumor dissociation, IHC/IF, and FFPE processing.

Why Stellaromics?

  • Innovative Technology: Be part of a company at the cutting edge of spatial biology and genomics, revolutionizing the way researchers understand biology.
  • Impactful Role: You will have a significant impact on the department and the future of the company.
  • Collaborative Environment: Work with a talented, passionate team in a culture that values creativity, innovation, and teamwork.
  • Career Growth: As a high-growth company, we offer significant opportunities for professional development and career advancement.
  • We are seeking a hands-on Computational Oncology expert to drive our spatial biology initiatives, bringing deep analytical rigor and biological intuition to complex tumor microenvironment datasets. This individual will serve as the core technical anchor for our oncology programs, bridging raw molecular data and high-resolution biological insight.

Key Responsibilities

  • Lead computational analysis and biological interpretation of high-dimensional spatial and single-cell oncology datasets.
  • Analyze tumor microenvironment biology, including cellular composition, cell states, spatial organization, neighborhood dynamics, immune–tumor interactions, and tumor heterogeneity.
  • Develop and apply analytical approaches for cellular segmentation, deconvolution, spatial neighborhood analysis, biomarker discovery, and tissue architecture characterization.
  • Translate complex datasets into biologically meaningful hypotheses and actionable insights for oncology research.
  • Partner closely with wet-lab scientists on experimental design, sample selection, panel design, controls, assay optimization, validation, and quality assessment.
  • Apply strong biological judgment to spatial outputs, recognizing whether observed cellular arrangements and tissue architectures reflect biological reality or potential technical artifacts.
  • Develop, optimize, and maintain reproducible computational workflows for high-dimensional spatial datasets.
  • Help benchmark and validate new analytical approaches and provide computational insights that inform assay and platform development.
  • Collaborate across scientific, computational, engineering, product, and commercial teams to advance Stellaromics’ spatial biology capabilities.
  • Engage with external collaborators and commercial partners to understand scientific questions, interpret results, and communicate the value of spatial approaches in oncology.
  • Clearly communicate complex scientific findings through presentations, scientific discussions, reports, publications, posters, and/or conference presentations.
  • Bring scientific curiosity, ownership, and adaptability to complex problems in a rapidly evolving biotechnology environment.

Qualifications

Essential Qualficaitions

  • PhD in cancer biology, molecular biology, genomics, computational biology, or a related field (or an MS with equivalent industry experience).
  • Working fluency in spatial and single-cell computational concepts, specifically segmentation, deconvolution, and neighborhood analysis.
  • Direct hands-on experience with major spatial platforms (Xenium, CosMx, GeoMx, MERSCOPE, Visium) or a demonstrated ability to independently stand up complex molecular platforms from scratch.
  • Industry experience gained within biotech, pharma, platform vendors, or specialized core facilities.
  • Individual contributor role: you prefer hands-on technical execution over managing direct reports or running a facility.
  • Strong spatial intuition and an instinctive eye for data validity.
  • Exceptional interpersonal and collaborative communication skills.
  • The instinctive eye: can look at a spatial dataset and immediately sense whether cells are where they should be.

Nice-to-Have Qualifications

  • Specific domain expertise in CRC or other gastrointestinal oncology tissue types.
  • Combined experience working directly with both major spatial platforms and GI/CRC tissues.
  • Proven panel design and validation experience tailored for tumor microenvironment applications.
  • Comfort communicating complex technical details across bench, computational, and external/commercial audiences.
  • Hands-on wet-lab proficiency with oncology tissues, including tumor dissociation, IHC/IF, and FFPE processing.

Why Stellaromics?

  • Innovative Technology: Be part of a company at the cutting edge of spatial biology and genomics, revolutionizing the way researchers understand biology.
  • Impactful Role: You will have a significant impact on the department and the future of the company.
  • Collaborative Environment: Work with a talented, passionate team in a culture that values creativity, innovation, and teamwork.
  • Career Growth: As a high-growth company, we offer significant opportunities for professional development and career advancement.

Compensation

An attractive compensation and benefits package based on market pay data will be commensurate with candidate skills, qualifications, and experience.

If you are interested in becoming part of a growing team energized by limitless possibilities, please submit your resume for consideration. To learn more about Stellaromics and our technology, please visit our website at www.stellaromics.com.

Stellaromics is an Equal Opportunity Employer striving to build an inclusive and diverse workplace culture.

Spun out of Stanford and MIT, Stellaromics is an innovative biotech startup founded in 2022 and located in Boston, MA. Our pioneering proprietary technology helps researchers and clinicians create comprehensive cellular maps enhancing our understanding of various diseases, with our flagship product STARmap and upcoming Pyxa™ suite of products. We have a passionate management team and committed investors who believe in our patented technology and overall mission to profoundly advance biomedical research and accelerate the discovery of life-saving treatments.

Frequently Asked Questions

Where is the job located, and is it remote/hybrid/on-site?
The job is located in San Diego, CA or Boston, MA. The posting does not specify a remote or hybrid work-mode policy.
What are the key responsibilities of this role?
You will lead computational analysis of high-dimensional spatial and single-cell oncology datasets, analyze tumor microenvironment biology, develop analytical approaches for cellular segmentation and biomarker discovery, partner with wet-lab scientists, maintain reproducible computational workflows, and collaborate across teams to advance Stellaromics' spatial biology capabilities.
What qualifications and experience are required?
You need a PhD in cancer biology, molecular biology, genomics, computational biology, or a related field (or an MS with equivalent industry experience). Required is fluency in spatial/single-cell computational concepts, hands-on experience with major spatial platforms (or building them from scratch), and industry experience in biotech, pharma, platform vendors, or core facilities.
What is the compensation and benefits package for this position?
Stellaromics offers an attractive compensation and benefits package based on market pay data, which will be commensurate with the candidate's skills, qualifications, and experience.
What is the application process and what should I submit?
Interested candidates should submit their resume for consideration. You can learn more about the company and its technology by visiting their website at www.stellaromics.com.

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Job Information

Source: manual
AI Relevance: 95/100 (Highly relevant)
Remote Type: onsite
Allowed Locations: Worldwide
Skills & Tags:
stellaromics, inc. computational biology genomics single-cell oncology

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