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Computational Spatial Transcriptomics Jobs in Portland, OR

We operate at the intersection of biology, engineering, and computational science, building ... Experience with transcriptomics, single-cell sequencing, or spatial omics approaches. * Background ...

Scientist - Endometrial Biology

Portland, OR · On-site

$37.50 - $47/hr

We operate at the intersection of biology, engineering, and computational science, building ... Experience with transcriptomics, single-cell sequencing, or spatial omics approaches. * Background ...

Computational Spatial Transcriptomics information

See Portland, OR salary details

$43

$58

$78

How much do computational spatial transcriptomics jobs pay per hour?

As of Aug 5, 2026, the average hourly pay for computational spatial transcriptomics in Portland, OR is $58.25, according to ZipRecruiter salary data. Most workers in this role earn between $49.71 and $78.03 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 Portland, OR? For Computational Spatial Transcriptomics jobs in Portland, OR, the most frequently searched job titles are:
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Full-time

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Re-posted 14 days ago


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Company rating: 8.1 out of 10

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Job description

Department Overview

The Knight Cancer Precision Biofabrication Hub is recruiting a postdoctoral researcher to support NIH-funded studies focused on engineering complex cancer-bone microphysiologic systems. The successful candidate will develop and apply vascularized, mineralized, and multicellular bone-on-chip platforms to investigate mechanisms of oral squamous cell carcinoma (OSCC) bone invasion and prostate cancer metastasis to bone. This position will involve 3D tissue engineering, organ-on-chip and microfluidic culture, hydrogel and matrix-based model development, advanced microscopy, quantitative image analysis, and molecular characterization of tumor-bone interactions.

Function/Duties of Position

Strong preference will be given to candidates with experience engineering complex 3D tissue models, organ-on-chip systems, cancer microenvironment models, bone biology, or biofabrication. Additional preferred expertise includes immune cell incorporation into engineered tissues, macrophage/osteoclast biology, mouse-derived immune or tumor models, neurobiology, neuron co-culture, innervated tissue models, and/or spatial omics.

An ideal candidate will have a strong record of publications, a proven record of independence, and the ability to work effectively with the principal investigator, collaborators, staff scientists, and trainees. The candidate should be highly organized, adaptable, detail-oriented, collaborative, and able to independently solve problems while helping advance multiple projects in parallel.

Duties include:

Perform experiments utilizing appropriate bioengineering, cell culture, imaging, and molecular techniques with proficiency; evaluate results; troubleshoot experiments; determine next steps; and present data.

Duties include developing and optimizing vascularized, mineralized, and multicellular bone-on-chip models; performing OSCC bone invasion studies with osteoblast/osteocyte/osteoclast components; performing prostate cancer bone metastasis studies involving vascularized and potentially innervated bone-on-chip systems; designing experiments evaluating tumor invasion, vascular association, osteoclastogenesis, bone remodeling, tumor phenotype, and microenvironmental crosstalk; incorporating immune or neural components into engineered tissues as appropriate; performing confocal/live imaging and quantitative image analysis; conducting immunostaining, qPCR, ELISA/Luminex, single cell spatial transcriptomics and related assays; staying current with relevant literature; and building new skills to maximize project potential.

Required Qualifications
  • M.D., M.D./Ph.D., or Ph.D.
  • Minimum of 3 years as a graduate student
  • Specialty: Bioengineering, Biomedical Engineering, Tissue Engineering, Cancer Biology, Bone Biology, or related field
  • Experience with mammalian cell culture and/or engineered tissue systems
  • Experience with mammalian cell culture and 3D culture systems
  • Experience developing or using engineered tissue models, organ-on-chip/microfluidic systems, hydrogels, biomaterials, or 3D bioprinting
  • Experience with fluorescence/confocal microscopy and quantitative image analysis
  • Familiarity with immunostaining and molecular/cellular assays such as qPCR, ELISA/Luminex, Western blotting, or related methods
  • Experience with data analysis and statistical methods
  • Excellent communication, analytical, and organizational skills
  • Ability to work independently and as part of a collaborative multidisciplinary team
  • Ability to synthesize one's own results and others' findings to formulate hypotheses
  • Ability to prioritize multiple tasks and coordinate multiple projects simultaneously
  • Ability to use tact and diplomacy to maintain effective working relationships
Preferred Qualifications
  • Experience working across interdisciplinary teams involving engineering, cancer biology, bone biology, clinicians, or computational collaborators
  • Strong publication record and evidence of independent scientific thinking
  • Experience with organ-on-chip or microphysiologic systems
  • Experience with vascularized tissue models, endothelial/pericyte co-culture, perfusable microfluidic systems, or advanced 3D imaging
  • Experience with bone biology, osteoblasts, osteocytes, osteoclasts, mineralized matrices, or bone remodeling assays
  • Experience with macrophage biology, osteoclastogenesis, immune cell co-culture, mouse immune cell isolation, or syngeneic mouse tumor/immune models
  • Experience with neurobiology, neuron differentiation, neurite outgrowth assays, neural co-culture, cancer-neuron interactions, or innervated tissue models
  • Experience with oral squamous cell carcinoma, prostate cancer, metastasis, invasion, EMT, or tumor microenvironment biology
  • Experience with spatial transcriptomics, single-cell RNA-seq, multiplex imaging, or analysis of high-dimensional datasets
Additional Details

Apply online. Please be sure to upload a Cover Letter and Resume/CV.

We offer a variety of benefits on top of joining a thriving organization:

  • Medical, dental and vision coverage at no or low cost to employees
    • Covered 100% for full-time employees and 88% for dependents
  • Several retirement plans to choose from with contributions from OHSU
  • 120 hours of vacation time per year
  • 96 hours of sick leave a year (prorated for part-time employees)
  • 9 paid holidays per year
  • Commuter subsidies
  • Tuition reimbursement
  • Access to group life insurance, disability insurance and other supplemental benefits
  • Annual Raises
  • Growth/Development Opportunities
  • Employee discounts to local and major businesses

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Why apply to OHSU?We are Oregon's only public academic health center. In addition to caring for patients, we lead groundbreaking research. We also train the next generation of health care professionals. As Portland's largest employer, we give you opportunities to learn and advance in a system of hospitals and clinics across Oregon and Southwest Washington. All are welcome. OHSU welcomes people of all ages, ethnicities, genders, national origins, religions and sexual orientations. We are striving to build an anti-racist, multicultural institution and encourage people with diverse backgrounds to apply. To request reasonable accommodation, contact askhr@ohsu.eduEmployment Type: FULL_TIME

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About Oregon Health & Science University

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Oregon Health & Science University (OHSU) is a distinguished institution under the industry of higher education and healthcare, specifically in the field of medical science. Based in Portland, Oregon, US, it maintains a reputation for promoting research, teaching, patient care, and outreach. Established in 1887, OHSU has continually sought to redefine the parameters of healthcare delivery and biomedical discovery through its expansive catalog of programs and initiatives. A galvanizing mission drives OHSU: to improve the health and quality of life for all Oregonians through excellence, innovation, and leadership in health care, education, and research.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Portland, OR, US

Year founded

1887