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Single Cell Spatial Transcriptomics Jobs in San Francisco, CA

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 ...

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Single Cell Spatial Transcriptomics information

See San Francisco, CA salary details

$15

$25

$35

How much do single cell spatial transcriptomics jobs pay per hour?

As of Aug 27, 2026, the average hourly pay for single cell spatial transcriptomics in San Francisco, CA is $25.50, according to ZipRecruiter salary data. Most workers in this role earn between $19.81 and $32.02 per hour, depending on experience, location, and employer.

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 the 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 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 popular job titles related to Single Cell Spatial Transcriptomics jobs in San Francisco, CA?

For Single Cell Spatial Transcriptomics jobs in San Francisco, CA, the most frequently searched job titles are:

What job categories do people searching Single Cell Spatial Transcriptomics jobs in San Francisco, CA look for?

The top searched job categories for Single Cell Spatial Transcriptomics jobs in San Francisco, CA are:

What cities near San Francisco, CA are hiring for Single Cell Spatial Transcriptomics jobs?

Cities near San Francisco, CA with the most Single Cell Spatial Transcriptomics job openings:

Infographic showing various Single Cell Spatial Transcriptomics job openings in San Francisco, CA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 92% In-person, and 8% Remote job distribution, with an average salary of $53,043 per year, or $25.5 per hour.

Single-Cell Genomics - Fully Remote | Upto $100/hr

San Francisco, CA • Remote

$100/hr

Full-time

Posted 5 days ago


Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Bioinformatics & Computational Single-Cell Genomics Expert
Type: Contract
Compensation: $70–$100/hour
Location: Remote
Commitment: 15–20 hours/week

Role Responsibilities

  • Design challenging computational problems to evaluate AI systems using real scientific software.
  • Develop problems requiring strategic planning and multi-step workflows for AI model testing.
  • Refine problem difficulty through iterative testing against state-of-the-art AI models.
  • Collaborate on single-cell RNA-seq analysis, trajectory inference, and spatial transcriptomics using tools like scanpy, scvelo, squidpy, and gudhi.
  • Work independently and asynchronously to meet deadlines and improve problem designs.

Qualifications

Must-Have

  • Graduate-level training in a relevant STEM field (MS, PhD, or equivalent research experience).
  • Proven proficiency with scientific software libraries through research publications, open-source contributions, or professional work.
  • Strong Python skills for writing problem setups, oracle functions, and solution validators.
  • Ability to work independently and refine problem designs based on feedback.
  • Comfortable in a Linux/terminal environment with remote compute sandboxes.

Preferred

  • Experience across multiple listed domains or tools.
  • Familiarity with benchmark or evaluation design.
  • Background in scientific teaching or exam/problem-set design.
  • Experience with computational reproducibility and containerized environments.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.