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Computational Spatial Transcriptomics Jobs in West Covina, CA

Research Engineer

Los Angeles, CA · On-site

$92K - $95K/yr

... computational and scientific approaches for the comprehensive mapping of brain structure and ... of spatial transcriptomics and connectomics datasets for research questions focused on neuronal ...

APPLIED POST DOC FELLOW

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 West Covina, CA salary details

$41

$56

$75

How much do computational spatial transcriptomics jobs pay per hour?

As of Aug 27, 2026, the average hourly pay for computational spatial transcriptomics in West Covina, CA is $56.37, according to ZipRecruiter salary data. Most workers in this role earn between $48.12 and $75.48 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 West Covina, CA?

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

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

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

Postdoctoral Scientist - Ajami Lab - Department of Neurology

Los Angeles, CA • On-site


CEDARS-SINAI
Hospitals • 10K+ employees

8.6

Company rating: 8.6 out of 10

Based on 131 frontline employees who took The Breakroom Quiz

43rd of 1,064 rated hospitals

Great coworkers

People enjoy working here

Good employer


$62K - $93K/mo

Full-time

Re-posted 4 days ago


Job description

Job Description

Are you ready to be a part of breakthrough research? Take action now by applying to this great opportunity!

Cedars-Sinai offers scientists unparalleled access to ground breaking technologies, facilities, and resources for conducting research related to an impressive range of diseases and disorders, from cancer, cardiology, and digestive diseases, to genetics, genomics, neurosciences, and women's health.

Dr. Bahareh Ajami invites you to consider this Postdoctoral Scientist opportunity to join her dynamic team!

About the Team

The Ajami Lab is establishing a new research program at Cedars-Sinai focused on immune mechanisms of hearing loss.

The Ajami Laboratory at Cedars-Sinai Medical Center is seeking an outstanding and highly motivated Postdoctoral Fellow to join our growing Neuroimmunology Research Program.

The successful candidate will join a vibrant and expanding research program supported by a recently awarded NIH R01 (6th percentile) and an ALS Breakthrough Research Grant from the Milken Institute. These projects investigate how the innate immune system regulates neurodegeneration, with a particular focus on amyotrophic lateral sclerosis (ALS). Using human postmortem tissues, spatial transcriptomics, spatial proteomics, single-cell genomics, CRISPR genome engineering, and human iPSC-derived microglia and motor neuron models, our goal is to identify novel therapeutic targets that can be translated into effective immunomodulatory therapies for ALS and other neurodegenerative diseases.

This position offers an exceptional opportunity to work at the interface of neuroimmunology, spatial biology, genomics, stem cell biology, and translational neuroscience while contributing to highly collaborative, multidisciplinary research with direct clinical relevance.

About the Role

Working independently but in close collaboration and in consultation with the Principal Investigator and other Research Scientist, the Postdoctoral Scientist will perform routine and sophisticated laboratory procedures throughout this training period. The incumbent may develop, adapt, and implement new research techniques and protocols. This position is not responsible for generating grant funds.

The successful candidate will participate in projects involving:

  • Human postmortem brain and spinal cord tissues
  • Spatial transcriptomics
  • Spatial proteomics (CODEX)
  • Single-cell RNA sequencing
  • Human iPSC-derived microglia and motor neuron models
  • CRISPR/Cas9 genome engineering
  • Multiomic data integration
  • Therapeutic target discovery and validation
  • Neuroimmune mechanisms of ALS and other neurodegenerative diseases

Our laboratory has established unique human datasets and multidisciplinary collaborations to investigate how distinct microglial states regulate neuronal vulnerability and identify therapeutic targets for ALS and related neurodegenerative disorders.

Primary Duties and Responsibilities:

  • Designs and performs experiments.
  • Maintains experimental records and documentation and analyzes the results with the Principal Investigator.
  • Analyzes interpret, summarizes, and compiles data.
  • Operates and maintains equipment and instruments.
  • May observe MD-patient or MD-human research subject interactions as it pertains directly to research being performed.
Qualifications

Education, Experience, and Skills:

  • Doctorate degree, required. A Ph.D. degree (or equivalent) in Neuroscience, Immunology, Molecular Biology, Genetics, Stem Cell Biology, Bioengineering, Computational Biology, or a related discipline.
  • A strong publication record demonstrating research productivity.
  • Excellent communication and scientific writing skills.
  • The ability to work independently and collaboratively in a multidisciplinary research environment.
  • Neuroimmunology experience.
  • Human iPSC culture and differentiation.
  • CRISPR/Cas9 genome editing.
  • Single-cell or spatial omics technologies.
  • Molecular and cellular biology.
  • Bioinformatics and computational analysis.
  • Mouse models of neurological disease.

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