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Computational Spatial Transcriptomics Jobs in Atlanta, GA

Post Doctoral Fellow

Atlanta, GA · On-site

$47K - $64K/yr

... transcriptomics, spatial proteomics, bulk RNA-seq, high-dimensional flow cytometry, and CyTOF ... The ideal candidate will have a strong computational background while maintaining an understanding ...

Post Doctoral Fellow

Atlanta, GA · On-site

$47K - $64K/yr

... transcriptomics, spatial proteomics, bulk RNA-seq, high-dimensional flow cytometry, and CyTOF ... The ideal candidate will have a strong computational background while maintaining an understanding ...

Post Doctoral Fellow

Atlanta, GA · On-site

$47K - $64K/yr

... transcriptomics, spatial proteomics, bulk RNA-seq, high-dimensional flow cytometry, and CyTOF ... The ideal candidate will have a strong computational background while maintaining an understanding ...

Computational Spatial Transcriptomics information

See Atlanta, GA salary details

$39

$52

$71

How much do computational spatial transcriptomics jobs pay per hour?

As of Aug 26, 2026, the average hourly pay for computational spatial transcriptomics in Atlanta, GA is $52.82, according to ZipRecruiter salary data. Most workers in this role earn between $45.10 and $70.72 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.

Infographic showing various Computational Spatial Transcriptomics job openings in Atlanta, GA as of August 2026, with employment types broken down into 1% Internship, 57% Full Time, 39% Part Time, and 3% Contract. Highlights an 58% Physical, 2% Hybrid, and 40% Remote job distribution, with an average salary of $109,869 per year, or $52.8 per hour.

Post Doctoral Fellow

Atlanta, GA • On-site


Emory University
Hospitals • 10K+ employees

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Company rating: 7.7 out of 10

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People enjoy working here

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Recommended by students


$47K - $64K/yr

Full-time

Re-posted 25 days ago


Job description

Discover Your Career at Emory University
Emory University is a leading research university that fosters excellence and attracts world-class talent to innovate today and prepare leaders for the future. We welcome candidates who can contribute to the excellence of our academic community.
Description
The successful candidate will join a highly collaborative translational research environment focused on understanding immune mechanisms in cancer and treatment-associated disease using high-dimensional and spatial profiling technologies. The fellow will work on projects integrating human clinical specimens and preclinical models to define immune-cell states, cellular interactions, and tissue-specific immune niches associated with disease progression and therapeutic response.
A major component of the position will involve analysis and integration of single-cell RNA sequencing (scRNA-seq), spatial transcriptomics, spatial proteomics, bulk RNA-seq, high-dimensional flow cytometry, and CyTOF datasets. Projects will provide opportunities to investigate complex interactions among immune, tumor, stromal, and other tissue-resident cell populations and to translate computational discoveries into experimentally testable biological mechanisms and potential biomarkers.
We are particularly interested in candidates with strong experience in single-cell sequencing data analysis using R and/or Python, including platforms and tools such as Seurat, Scanpy, or related computational frameworks. Experience with spatial transcriptomic/proteomic analysis, cell-cell interaction analysis, pathway analysis, immune repertoire analysis, and integration of multimodal datasets would be highly desirable. Experience analyzing high-dimensional CyTOF or multiparameter flow cytometry data is also preferred.
The ideal candidate will have a strong computational background while maintaining an understanding of experimental biology. Experience with processing human or mouse blood and tissue samples, preparation of samples for single-cell or spatial profiling, and flow cytometry-based immune phenotyping would be advantageous.
The position provides opportunities to lead multidisciplinary projects, collaborate with basic scientists and clinical investigators, develop independent research directions, contribute to manuscripts and grant applications, and present findings at national and international scientific meetings.
JOB DESCRIPTION:
  • Helps design and conduct research within a specified field while receiving advanced training from a designated Principal Investigator to enhance professional skills and research independence needed for pursuit of a career.
  • The specific area of research in which the trainee is mentored is determined by the department and laboratory of the Postdoc.
  • Designs and evaluates experiments.
  • Develops new ideas that promote current research.
  • Prepares and publishes scientific manuscripts under the direction of the Principal Investigator.
  • May be responsible for operation of specific equipment.
  • May teach techniques to others, train, and supervise research staff.
  • Positions are temporary appointments as a research trainee.
  • The initial appointment is for one year, renewal expected if progress is satisfactory and funds are available.
  • Appointments cannot exceed five years.

MINIMUM QUALIFICATIONS:
  • A doctoral degree or equivalent (Ph.D., M.D., ScD., D.V.M., DDS etc) in an appropriate field.
  • Excellent scientific writing ability and strong oral communication skills.
  • The ability to work effectively and collegially with colleagues.
  • Additional qualifications as specified by the Principal Investigator.

NOTE: Position tasks are required to be performed in-person at an Emory University location; working remote is not an option. Emory reserves the right to change this status with notice to employee.
Additional Details
Emory is an equal opportunity employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by state or federal law. Emory University does not discriminate in admissions, educational programs, or employment, including recruitment, hiring, promotions, transfers, discipline, terminations, wage and salary administration, benefits, and training. Students, faculty, and staff are assured of participation in university programs and in the use of facilities without such discrimination. Emory University complies with Section 503 of the Rehabilitation Act of 1973, the Vietnam Era Veteran's Readjustment Assistance Act, and applicable executive orders, federal and state regulations regarding nondiscrimination, equal opportunity, and affirmative action (for protected veterans and individuals with disabilities). Inquiries regarding this policy should be directed to the Emory University Department of Equity and Civil Rights Compliance, 201 Dowman Drive, Administration Building, Atlanta, GA 30322. Telephone: 404-727-9867 (V) | 404-712-2049 (TDD).
Emory University is committed to ensuring equal access and providing reasonable accommodations to qualified individuals with disabilities upon request. To request this document in an alternate format or to seek a reasonable accommodation, please contact the Department of Accessibility Services at accessibility@emory.edu or call 404-727-9877 (Voice) | 404-712-2049 (TDD). We kindly ask that requests be made at least seven business days in advance to allow adequate time for coordination.


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