ZipRecruiter

Log In

1

Single Cell Spatial Transcriptomics Jobs in California

Valius Sciences

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 ...

Ionis

Director, Computational Biology

Carlsbad, CA · On-site +1

Experience in multi-omics analyses and integration (including RNA-seq, ATAC-seq - bulk, single cell - spatial transcriptomics, proteomics, metabolomics, ChIP-seq and similar, long read RNA-seq, small ...

Keck Medicine of USC

Research Associate

Los Angeles, CA

$70K - $75K/yr

Single-cell and spatial transcriptomics/proteomics * Multi-omics integration and bioinformatics * Advanced immunophenotyping and flow cytometry * CRISPR-based functional genomics * Translational ...

Arc Institute

Scientist, Bioinformatics

Palo Alto, CA · On-site

... single-cell RNA-seq, epigenomics, multi-omics, Perturb-seq, spatial transcriptomics), public and generated in-house. • Process sequencing data as they come off instruments, monitoring runs ...

next page

Showing results 1-20

All JobsSingle Cell Spatial Transcriptomics JobsSingle Cell Spatial Transcriptomics Jobs in California

Single Cell Spatial Transcriptomics information

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 California? For Single Cell Spatial Transcriptomics jobs in California, the most frequently searched job titles are:
What job categories do people searching Single Cell Spatial Transcriptomics jobs in California look for? The top searched job categories for Single Cell Spatial Transcriptomics jobs in California are:
What cities in California are hiring for Single Cell Spatial Transcriptomics jobs? Cities in California with the most Single Cell Spatial Transcriptomics job openings:
Single Cell Spatial Transcriptomics jobs near you
Junior or Assistant Specialist- Cho/Cheng Lab

Junior or Assistant Specialist- Cho/Cheng Lab

UCSF

San Francisco, CA • On-site

Other

Re-posted 10 days ago

University Of California San Francisco rating

8.9

Company rating: 8.9 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

32nd of 555 rated colleges and universities

Job description

Junior or Assistant Specialist- Cho/Cheng Lab

The Raymond Cho/Jeffrey Cheng UCSF Dermatology lab is actively seeking a highly motivated research specialist at the junior or assistant level. Our laboratory focuses on developing precision medicine approaches to improve treatment of inflammatory skin disease. 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 molecular classification and treatment response prediction.

We expect the appointee to participate in and receive authorship in scientific articles and to contribute to the intellectual environment of the laboratory, in addition to supporting and managing the lab. He/she must be able to plan, conduct, and oversee experiments, independently develop and optimize experimental protocols, and interpret data and results.

Required Qualifications: Specialists appointed at the junior rank must possess a baccalaureate degree (or equivalent degree) or at least four years of research experience. Specialists appointed at the Assistant rank must possess a master's degree or a baccalaureate degree with three or more years of research experience. 1.5 year commitment to working in the lab. Excellent organizational and written/oral communication skills. Strong analytical and problem-solving abilities. Attention to detail and accurate record keeping. Ability to work well independently and collaboratively with other lab members. Previous research experience of at least 6 months. Candidates are required to meet the required qualifications at the time of hire. Candidate's CV and/or cover letter must state qualifications (or if pending) upon submission.

Preferred Qualifications: Expertise in immunology assays (such as flow cytometry, stimulation assays, ELISA) Experience with computer programming/bioinformatics

Please apply online, with a CV and cover letter. Screening of applicants will begin immediately and will continue as needed throughout the recruitment period. Salary and rank will be commensurate with the applicants experience and training. A reasonable estimate for this position is $55,000 - $70,700.

What University Of California San Francisco employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply