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Single Cell Spatial Transcriptomics Jobs in St Louis, MO

The position is responsible for enabling the lab to generate state-of-the art multi-omic libraries (single-cell RNA-seq, ATAC-seq, spatial transcriptomics, etc.) from precious human and mouse brain ...

Single Cell Spatial Transcriptomics information

See St Louis, MO salary details

$12

$21

$29

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 St. Louis, MO is $21.04, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $26.39 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 job categories do people searching Single Cell Spatial Transcriptomics jobs in St. Louis, MO look for?

The top searched job categories for Single Cell Spatial Transcriptomics jobs in St. Louis, MO are:

What cities near St. Louis, MO are hiring for Single Cell Spatial Transcriptomics jobs?

Cities near St. Louis, MO with the most Single Cell Spatial Transcriptomics job openings:

Infographic showing various Single Cell Spatial Transcriptomics job openings in St. Louis, MO as of August 2026, with employment types broken down into 1% Locum Tenens, 1% As Needed, 77% Full Time, 17% Part Time, and 4% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $43,771 per year, or $21 per hour.

Postdoctoral Research Associate - Radiology

Saint Louis, MO • On-site

Washington University
Print Media Publishing • 51 - 200 employees

Full-time

Re-posted 21 days ago


Job description

Location
ST. LOUIS, MO 63110Position Summary
The Pereira Laboratory in the Department of Radiology at WashU Medicine is seeking a highly motivated Postdoctoral Research Associate to join a multidisciplinary, NIH-funded research program at the interface of molecular imaging, antibody engineering, cancer biology, drug development, and translational oncology.
Our laboratory develops next-generation antibody-drug conjugates (ADCs), molecular imaging agents, and targeted therapeutics to improve cancer diagnosis and treatment. We combine protein engineering, chemical biology, molecular imaging, computational biology, and spatial transcriptomics to understand therapeutic response and accelerate translation from preclinical discovery to clinical application.
The successful candidate will have experimental and analytical skills, excellent scientific writing and communication abilities, and the capacity to work both independently and collaboratively. Candidates should be highly motivated, organized, and eager to integrate experimental and computational approaches to address translational research questions while mentoring junior trainees and contributing to a positive laboratory environment. Candidates should have demonstrated research experience in one or more of the following areas: antibody engineering, antibody-drug conjugates (ADCs), cancer biology, molecular imaging, or chemical biology. Experience with computational analysis of spatial transcriptomics or other high-dimensional datasets and strong data management skills are highly desirable.
We are seeking an independent and collaborative scientist interested in developing innovative antibody-based therapeutics while integrating computational approaches to study tumor biology and mechanisms of response and resistance.
Job Description
Primary Duties & Responsibilities:
Information on being a postdoc at WashU in St. Louis can be found at https://postdoc.wustl.edu/prospective-postdocs-2/.
Trains under the supervision of a faculty mentor including (but not limited to):
  • Design and execute independent research projects focused on antibody engineering, ADC development, molecular imaging, and theragnostic agents.
  • Develop and evaluate novel antibody conjugates using molecular, cellular, biochemical, and in vivo approaches.
  • Perform cancer biology studies using cell lines, patient-derived models, and mouse models.
  • Analyze and integrate molecular imaging, spatial transcriptomics, and other multi-omics datasets to identify biomarkers and mechanisms of therapeutic response.
  • Develop computational workflows for spatial biology and imaging data analysis using R, Python, or related tools.
  • Design experiments, analyze data, troubleshoot technical challenges, and critically interpret scientific findings.
  • Organize, manage, and integrate experimental datasets in compliance with laboratory, institutional, and NIH data management and reproducibility standards.
  • Prepare manuscripts, fellowship applications, grant proposals, and present research at national and international scientific meetings.
  • Mentor graduate students and other laboratory trainees while contributing to a collaborative research environment.

Working Conditions:
This position works in a laboratory environment with potential exposure to biological and chemical hazards. The individual must be physically able to wear protective equipment and to provide standard care to research animals.
Salary Range:
Base pay is commensurate with experience.
The above statements are intended to describe the general nature and level of work performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all job duties performed by the personnel so classified. Management reserves the right to revise or amend duties at any time.
Required Qualifications
Education:
Ph.D., M.D. Or Equivalent Terminal Or Doctoral Degree.
Certifications/Professional Licenses:
No specific certification/professional license is required for this position.
Work Experience:
No specific work experience is required for this position.
Skills:
Not Applicable
Driver's License:
A driver's license is not required for this position.
More About This Job
Preferred Qualifications:
  • Ph.D. in Cancer Biology, Chemical Biology, Biochemistry, Biomedical Engineering, Pharmaceutical Sciences, Immunology, Bioinformatics, Computational Biology, Chemistry, or a related discipline.
  • Experience in one or more of the following areas is highly desirable: Antibody engineering, ADC development, protein conjugation, or chemical biology; spatial transcriptomics, single-cell genomics, bioinformatics, or computational biology; molecular imaging, radiochemistry, or image analysis.
  • Strong written and verbal communication skills, scientific independence, and enthusiasm for interdisciplinary research are essential for this position.
  • Candidates with expertise in either experimental or computational research (and a willingness to develop complementary skills) are strongly encouraged to apply.

Preferred Qualifications
Education:
No additional education unless stated elsewhere in the job posting.
Certifications/Professional Licenses:
No additional certification/professional licenses unless stated elsewhere in the job posting.
Work Experience:
No additional work experience unless stated elsewhere in the job posting.
Skills:
Collaboration, Communication, Data Analysis, Data Interpretations, Experimentation, Laboratory Operations, Laboratory Techniques, Organizing, Researching, Results Reporting, Scientific Technical Writing, Scientific Writing, Self Motivation, Work Collaboratively, Working Independently
Questions
For frequently asked questions about the application process, please refer to our External Applicant FAQ.
Accommodation
If you are unable to use our online application system and would like an accommodation, please email CandidateQuestions@wustl.edu or call the dedicated accommodation inquiry number at 314-935-1149 and leave a voicemail with the nature of your request.
All qualified individuals must be able to perform the essential functions of the position satisfactorily and, if requested, reasonable accommodations will be made to enable employees with disabilities to perform the essential functions of their job, absent undue hardship.
Pre-Employment Screening
All external candidates receiving an offer for employment will be required to submit to pre-employment screening for this position. The screenings will include criminal background check and, as applicable for the position, other background checks, drug screen, an employment and education or licensure/certification verification, physical examination, certain vaccinations and/or governmental registry checks. All offers are contingent upon successful completion of required screening.
Benefits Statement
Washington University in St. Louis is committed to providing a comprehensive and competitive benefits package to our employees. Benefits eligibility is subject to employment status, full-time equivalent (FTE) workload, and weekly standard hours. Please visit our website at https://hr.wustl.edu/benefits/ to view a summary of benefits.
EEO Statement
Washington University in St. Louis is committed to the principles and practices of equal employment opportunity. It is the University's policy to provide equal opportunity and access to persons in all job titles without regard to race, ethnicity, color, national origin, citizenship (where prohibited by federal law), age, religion, sex, sexual orientation, gender identity or expression, disability, protected veteran status, or genetic information.