... single cell genomics, spatial transcriptomics, or multiomics platforms; experience building or ... scaling these capabilities in an organizational context is strongly preferred Strong publication ...
... single cell genomics, spatial transcriptomics, or multiomics platforms; experience building or ... scaling these capabilities in an organizational context is strongly preferred Strong publication ...
A central focus of this role is to drive and execute on Nkarta's strategy for single-cell and spatial transcriptomics, leveraging scRNA-seq, spatial, and functional genomics approaches to drive ...
A central focus of this role is to drive and execute on Nkarta's strategy for single-cell and spatial transcriptomics, leveraging scRNA-seq, spatial, and functional genomics approaches to drive ...
Principal Scientist, Translational Oncology - Single Cell and Spatial Genomics, Solid Tumors
San Francisco, CA · On-site
$171K - $214K/yr
... with single cell genomics, spatial transcriptomics, or multiomics platforms; experience building or scaling these capabilities in an organizational context is strongly preferred • Strong ...
Principal Scientist, Translational Oncology - Single Cell and Spatial Genomics, Solid Tumors
San Francisco, CA · On-site
$171K - $214K/yr
... with single cell genomics, spatial transcriptomics, or multiomics platforms; experience building or scaling these capabilities in an organizational context is strongly preferred • Strong ...
Deep expertise in single-cell and spatial transcriptomics analysis, including scRNA-seq and related high-dimensional omics datasets * Strong experience analyzing functional genomics and ...
Deep expertise in single-cell and spatial transcriptomics analysis, including scRNA-seq and related high-dimensional omics datasets * Strong experience analyzing functional genomics and ...
Computational Biologist
Palo Alto, CA · On-site
Stay current with advances in transcriptomics, single-cell methods, and computational biology ... Familiarity with spatial transcriptomics or multimodal data integration approaches. * Experience ...
Computational Biologist
Palo Alto, CA · On-site
Stay current with advances in transcriptomics, single-cell methods, and computational biology ... Familiarity with spatial transcriptomics or multimodal data integration approaches. * Experience ...
... single cell ATACseq and spatial transcriptomics • General multiomics expertise: genomics ... transcriptomics, epigenomics, chromatin dynamics • Experience building intuitive web tools for ...
... single cell ATACseq and spatial transcriptomics • General multiomics expertise: genomics ... transcriptomics, epigenomics, chromatin dynamics • Experience building intuitive web tools for ...
Experience with single-cell sequencing and spatial transcriptomics is also valuable. Histology experience is preferred but is considered more flexible than NGS experience. The candidate should at ...
Experience with single-cell sequencing and spatial transcriptomics is also valuable. Histology experience is preferred but is considered more flexible than NGS experience. The candidate should at ...
We study human and mouse model inflammatory skin diseases on the single-cell level (single cell RNA-sequencing, spatial transcriptomics, and highly multiplexed immunofluorescence) to further ...
We study human and mouse model inflammatory skin diseases on the single-cell level (single cell RNA-sequencing, spatial transcriptomics, and highly multiplexed immunofluorescence) to further ...
Experience with single cell ATACseq and spatial transcriptomics * General multiomics expertise: genomics, transcriptomics, epigenomics, chromatin dynamics * Experience building intuitive web tools ...
Experience with single cell ATACseq and spatial transcriptomics * General multiomics expertise: genomics, transcriptomics, epigenomics, chromatin dynamics * Experience building intuitive web tools ...
Experience with single cell ATACseq and spatial transcriptomics * General multiomics expertise: genomics, transcriptomics, epigenomics, chromatin dynamics * Experience building intuitive web tools ...
Experience with single cell ATACseq and spatial transcriptomics * General multiomics expertise: genomics, transcriptomics, epigenomics, chromatin dynamics * Experience building intuitive web tools ...
Scientist/Senior Scientist (Genomic Analysis)
South San Francisco, CA · On-site
$110K - $150K/yr
Execute plate-based single-cell/low-input NGS (e.g., Smart-seq3/Smart-seq2; plate-based scATAC/CUT ... Spatial transcriptomics/epigenomics * Previous experience in a startup environment (comfort with ...
Scientist/Senior Scientist (Genomic Analysis)
South San Francisco, CA · On-site
$110K - $150K/yr
Execute plate-based single-cell/low-input NGS (e.g., Smart-seq3/Smart-seq2; plate-based scATAC/CUT ... Spatial transcriptomics/epigenomics * Previous experience in a startup environment (comfort with ...
Computational Biologist
San Francisco, CA · On-site
$125K - $185K/yr
... single-cell transcriptomics) and analytical approaches into clinical care for the very first time ... Apply cutting-edge techniques, including scRNAseq, spatial transcriptomics, and long-read ...
Computational Biologist
San Francisco, CA · On-site
$125K - $185K/yr
... single-cell transcriptomics) and analytical approaches into clinical care for the very first time ... Apply cutting-edge techniques, including scRNAseq, spatial transcriptomics, and long-read ...
Scientist 3 - Translational Medicine, Oncology
South San Francisco, CA · On-site
$100K - $186K/yr
Familiarity or proficiency with the computational analysis of high-throughput data (such as multi-omics, single-cell, or spatial transcriptomics datasets). Together, we'll advance along the whole ...
Scientist 3 - Translational Medicine, Oncology
South San Francisco, CA · On-site
$100K - $186K/yr
Familiarity or proficiency with the computational analysis of high-throughput data (such as multi-omics, single-cell, or spatial transcriptomics datasets). Together, we'll advance along the whole ...
Familiarity or proficiency with the computational analysis of high-throughput data (such as multi-omics, single-cell, or spatial transcriptomics datasets). Together, we'll advance along the whole ...
Familiarity or proficiency with the computational analysis of high-throughput data (such as multi-omics, single-cell, or spatial transcriptomics datasets). Together, we'll advance along the whole ...
Bioinformatics Engineer, Pipelines
San Francisco, CA · On-site
$150K - $200K/yr
... cell painting, WGS and WES, spatial transcriptomics, flow cytometry, ATAC-seq, and methyl-seq ... Not all strong candidates will meet every single qualification as listed. Research shows that ...
Quick apply
Bioinformatics Engineer, Pipelines
San Francisco, CA · On-site
$150K - $200K/yr
... cell painting, WGS and WES, spatial transcriptomics, flow cytometry, ATAC-seq, and methyl-seq ... Not all strong candidates will meet every single qualification as listed. Research shows that ...
Bioinformatics Engineer, Pipelines
San Francisco, CA · On-site
$150K - $200K/yr
... cell painting, WGS and WES, spatial transcriptomics, flow cytometry, ATAC-seq, and methyl-seq ... Not all strong candidates will meet every single qualification as listed. Research shows that ...
Bioinformatics Engineer, Pipelines
San Francisco, CA · On-site
$150K - $200K/yr
... cell painting, WGS and WES, spatial transcriptomics, flow cytometry, ATAC-seq, and methyl-seq ... Not all strong candidates will meet every single qualification as listed. Research shows that ...
Senior Scientist, Computational Biology
$136K - $170K/yr
The ideal candidate will bring deep expertise in single-cell RNA sequencing, Perturb-seq, and a ... seq, ATAC-seq, spatial transcriptomics, as well as external reference datasets, to enrich ...
Senior Scientist, Computational Biology
$136K - $170K/yr
The ideal candidate will bring deep expertise in single-cell RNA sequencing, Perturb-seq, and a ... seq, ATAC-seq, spatial transcriptomics, as well as external reference datasets, to enrich ...
Scientist 3- Translational Medicine (Multiple Sclerosis & TR focused)
South San Francisco, CA · On-site
$100K - $186K/yr
Analyze and interpret high-dimensional datasets from clinical samples, including single-cell RNA-seq, CITE-seq, bulk RNA-seq, spatial transcriptomics, and/or proteomics, to generate translational ...
Scientist 3- Translational Medicine (Multiple Sclerosis & TR focused)
South San Francisco, CA · On-site
$100K - $186K/yr
Analyze and interpret high-dimensional datasets from clinical samples, including single-cell RNA-seq, CITE-seq, bulk RNA-seq, spatial transcriptomics, and/or proteomics, to generate translational ...
Scientist 3- Translational Medicine (Multiple Sclerosis & TR focused)
South San Francisco, CA · On-site
$100K - $186K/yr
Analyze and interpret high-dimensional datasets from clinical samples, including single-cell RNA-seq, CITE-seq, bulk RNA-seq, spatial transcriptomics, and/or proteomics, to generate translational ...
Scientist 3- Translational Medicine (Multiple Sclerosis & TR focused)
South San Francisco, CA · On-site
$100K - $186K/yr
Analyze and interpret high-dimensional datasets from clinical samples, including single-cell RNA-seq, CITE-seq, bulk RNA-seq, spatial transcriptomics, and/or proteomics, to generate translational ...
Postdoctoral Scientist - Fibrosis, Liver Disease
Foster City, CA · On-site
$126K - $164K/yr
Familiarity with the analysis of large-scale multiomic datasets, such as single-cell and spatial transcriptomics, is preferred. * Experience developing complex primary cell co-culture systems is an ...
Postdoctoral Scientist - Fibrosis, Liver Disease
Foster City, CA · On-site
$126K - $164K/yr
Familiarity with the analysis of large-scale multiomic datasets, such as single-cell and spatial transcriptomics, is preferred. * Experience developing complex primary cell co-culture systems is an ...
Single Cell Spatial Transcriptomics information
See Oakland, CA salary details
$14.63 - $16.44
3% of jobs
$16.44 - $18.25
6% of jobs
$19.27 is the 25th percentile. Wages below this are outliers.
$18.25 - $20.05
27% of jobs
The median wage is $21.67 / hr.
$20.05 - $21.86
15% of jobs
$21.86 - $23.67
9% of jobs
$23.67 - $25.47
0% of jobs
$25.47 - $27.28
1% of jobs
$27.28 - $29.09
6% of jobs
$30.34 is the 75th percentile. Wages above this are outliers.
$29.09 - $30.90
9% of jobs
$30.90 - $32.70
9% of jobs
$32.70 - $34.51
13% of jobs
$14
$24
$34
How much do single cell spatial transcriptomics jobs pay per hour?
As of Aug 1, 2026, the average hourly pay for single cell spatial transcriptomics in Oakland, CA is $24.86, according to ZipRecruiter salary data. Most workers in this role earn between $19.33 and $31.20 per hour, depending on experience, location, and employer.
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 some 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 are popular job titles related to Single Cell Spatial Transcriptomics jobs in Oakland, CA? For Single Cell Spatial Transcriptomics jobs in Oakland, CA, the most frequently searched job titles are:
What job categories do people searching Single Cell Spatial Transcriptomics jobs in Oakland, CA look for? The top searched job categories for Single Cell Spatial Transcriptomics jobs in Oakland, CA are:
What cities near Oakland, CA are hiring for Single Cell Spatial Transcriptomics jobs? Cities near Oakland, CA with the most Single Cell Spatial Transcriptomics job openings:
Principal Scientist, Translational Oncology - Single Cell and Spatial Genomics, Solid Tumors
San Francisco, CA
Other
Re-posted 3 hours ago
Natera rating
7.6
Based on 37 frontline employees who took The Breakroom Quiz
60th of 120 rated laboratories
Job description
About the Role
We are seeking a Principal Scientist to serve as a translational and strategic leader within our
Oncology research organization. This role sits at the crossroads of reverse translation, biomarker
science, and cutting-edge genomics technology - driving mechanistic insight from the clinic
back into discovery to accelerate and de-risk our oncology pipeline. The ideal candidate brings
deep expertise in cancer biology, a track record of cross-functional leadership in a pharma or
biotech environment, and hands-on experience building and deploying single cell and spatial
omics capabilities.
What You'll Do
Discovery & Translational Research Leadership
Drive discovery and translational projects in collaboration with AI and internal research
teams with a primary focus on integrating scRNA-seq and spatial biology into Natera's
pipeline.
Collaborate with external translational teams on building single-cell and spatial biology
workflows into their early phase clinical studies.
Leverage novel technologies to inform collaborative reverse and forward translation
efforts as well as internal target discovery and validation projects.
Design and execute lab-based research programs that bridge clinical observations with
mechanistic hypotheses, supporting asset progression and CDP expansion
Technology & Capabilities
Lead and contribute to technology area team focused on single cell genomics and spatial
omics, building out multiomics capabilities to support foundational models and RWD
efforts
Partner with internal and external collaborators to establish, optimize, and deploy cutting-
edge platforms for translational applications
Serve as an internal expert and thought leader on emerging genomics technologies
relevant to oncology drug discovery and development
Cross-Functional & Strategic Engagement
Represent translational science on life cycle, RWD, and BioPharma BD teams
Collaborate with Clinical, Biomarker, Discovery, and Regulatory colleagues to shape
clinical trial design and biomarker plans
Build and maintain external scientific partnerships and advisory relationships as
appropriate
People & Team Development
Lead and mentor a team of scientists and contractors, with a strong commitment to career
development and scientific growth
Foster a collaborative, high-performance team culture with clear goals and accountability
Position Requirements
Ph.D. in Cancer Biology, Molecular/Cellular Biology, Immunology, Bioengineering, or a
closely related field
6+ years of experience post-Ph.D. in oncology translational research within biotech or
pharma, including demonstrated growth into senior or principal scientist roles
Deep scientific expertise in at least one of the following: cancer cell biology, tumor
immunology, cell engineering, or neoantigen biology
Hands-on experience with single cell genomics, spatial transcriptomics, or multiomics
platforms; experience building or scaling these capabilities in an organizational context is
strongly preferred
Strong publication and/or patent record reflecting independent scientific contribution
Demonstrated experience leading cross-functional programs and influencing without
authority across Research, Clinical, and Biomarker teams
Prior experience managing and mentoring scientists at multiple career stages
Exceptional scientific communication skills; ability to synthesize complex data and
present compellingly to diverse audiences