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Computational Spatial Transcriptomics Jobs in Irvine, CA

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Long Beach, CA · On-site

$51K - $69K/yr

... spatial proteomics/transcriptomics, and data-driven pathology. Position Highlights: The Applied ... computational pathology/AI initiatives. Collaborate with clinical pathologists and internal ...

Computational Spatial Transcriptomics information

See Irvine, CA salary details

$43

$58

$79

How much do computational spatial transcriptomics jobs pay per hour?

As of Aug 26, 2026, the average hourly pay for computational spatial transcriptomics in Irvine, CA is $58.96, according to ZipRecruiter salary data. Most workers in this role earn between $50.34 and $78.94 per hour, depending on experience, location, and employer.

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 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 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 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 are popular job titles related to Computational Spatial Transcriptomics jobs in Irvine, CA?

For Computational Spatial Transcriptomics jobs in Irvine, CA, the most frequently searched job titles are:

What job categories do people searching Computational Spatial Transcriptomics jobs in Irvine, CA look for?

The top searched job categories for Computational Spatial Transcriptomics jobs in Irvine, CA are:

What cities near Irvine, CA are hiring for Computational Spatial Transcriptomics jobs?

Cities near Irvine, CA with the most Computational Spatial Transcriptomics job openings:

Infographic showing various Computational Spatial Transcriptomics job openings in Irvine, CA as of August 2026, with employment types broken down into 1% Internship, 58% Full Time, 40% Part Time, and 1% Contract. Highlights an 58% Physical, 2% Hybrid, and 40% Remote job distribution, with an average salary of $122,634 per year, or $59 per hour.

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Long Beach, CA • On-site

$51K - $69K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted just now


Job description

Working at Moffitt is both a career and a mission: to contribute to the prevention and cure of cancer.As the only National Cancer Institute-designated Comprehensive Cancer Center based in Florida, Moffitt employs some of the best and brightest minds from around the world. Join a dedicated team of nearly 11,000 who are shaping the future we envision. Moffitt has been recognized as a Best and Brightest Company to Work For in the Nation and is continually named one of the Tampa Bay Times' Top Workplaces.

Summary

To support the launch and growth of Moffitt's new Department of Translational Pathology, we are recruiting Applied Postdoctoral Fellows (MDs with formal anatomic pathology training) to accelerate biomarker-guided oncology and strengthen clinic-to-lab translation. Fellows receive advanced research training while contributing to team-based efforts and leading focused projects under limited supervision. Chaired by Ignacio Wistuba, MD, the Department of Translational Pathology bridges research and clinical care by embedding discovery into clinical-trial correlative studies and biomarker development. In partnership with Moffitt's Cancer Center Support Grant (CCSG) program, the department is building integrated platforms spanning molecular and immunologic profiling, spatial "omics," genomic profiling, and computational pathology to rapidly translate insights into trials that inform treatment decisions and personalize care. Training opportunities emphasize solid tumors and hematologic malignancies across histology, IHC, multiplex IF, spatial proteomics/transcriptomics, and data-driven pathology. Position Highlights: The Applied Postdoctoral Fellow will: Contribute to multi-modality translational studies that generate abstracts, publications, and new diagnostic/therapeutic approaches. Lead or co-lead multiple projects with clear scholarly deliverables, including meeting abstracts and manuscript submissions across the first two years. Work in a highly collaborative, well-resourced environment that integrates patient care with cutting-edge clinical and basic research. Receive outstanding mentorship from expert, well-funded faculty (including T32 programs) and support to pursue individual training/fellowship grants. The Ideal Candidate: Formal training in anatomic pathology. To be interested in having training in novel cytology and pathology-related research methodologies. Having a collaborative spirit and being interested in learning the role of translational pathology approaches in the development of new diagnostic and therapeutic approaches in cancer. Having an analytical mind and basic knowledge of computer software to maintain and analyze data, as well as summarize data and prepare presentations. Responsibilities: Conduct histopathologic review of tumor and clinical-trial tissue specimens, including tissue microarray support and tissue-based assay workflows. Generate and interpret biomarker data (IHC, multiplex IF, spatial omics) and provide pathology input for computational pathology/AI initiatives. Collaborate with clinical pathologists and internal/external partners (e.g., Tissue Core, translational and working-group meetings) to support translational studies. Lead quality control/assurance activities for retrospective and prospective specimens; maintain the QA program. Design and execute supervised research projects; record, analyze, and present data; and assist with shared lab equipment/work-area upkeep. Credentials and Qualifications: MD degree, with formal training in anatomic pathology of at least 3 years. Experience in initiating, conducting, evaluating and reporting of research studies is preferred. Demonstrated pre-doctoral working knowledge of research methodologies in an area of research. Moffitt Applied Postdocs enjoy comprehensive medical coverage, with Moffitt covering the premium effectiveyour very first day. In addition to this valuable benefit, you'll also be eligible for dental and vision insurance, generous paid time off,retirement, parental leave, and much more. Furthermore, you may qualify for relocation assistance as per our policy, ensuring a seamless transition to your exciting new role. Moffitt Cancer Center proudly stands as a Comprehensive Cancer Center designated by the National Cancer Institute (NCI) in the vibrant city of Tampa, Florida. This dynamic city is an exceptional choice for those seeking exciting opportunities in a rapidly growing metropolitan area. With its flourishing economy and rich cultural diversity, the Tampa Bay region masterfully combines urban elegance with breathtaking natural beauty. Discover why countless individuals have chosen to make Tampa their home and experience firsthand what makes it one of the fastest-growing metropolitan cities in the United States. Ready to turn pathology insights into biomarker-driven breakthroughs in cancer care? Join Moffitt's Department of Translational Pathology as an Applied Postdoctoral Fellow-help shape what's next. How to Apply: Interested applicants should send a single PDF file that includes a cover letter summarizing their research training and accomplishments, a personal statement of scientific interests and goals, current CV with recent publications, and contact information for three references to Dr. Ignacio Wistuba (ignacio.wistuba@moffitt.org).

Salary Range

Salary ranges posted for this position represent the expected base pay range for the role. Actual compensation may vary based on location and a variety of job-related factors, including experience, skills, education, and internal equity among Team Members in similar positions.


We are committed to maintaining fair and equitable pay practices and regularly review compensation to ensure alignment across our workforce.

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If you have the vision, passion, and dedication to contribute to our mission,then we have a place for you!

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Moffitt Cancer Center is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, or protected veteran or disabled status. We seek candidates whose skills, and personal and professional experience, have prepared them to contribute to our commitment to diversity and excellence.

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