Perform high-quality computational analysis of next-generation sequencing (NGS) data, including short and long-read whole-genome, whole-exome, RNA-seq, and spatial transcriptomics datasets. * Develop ...
Perform high-quality computational analysis of next-generation sequencing (NGS) data, including short and long-read whole-genome, whole-exome, RNA-seq, and spatial transcriptomics datasets. * Develop ...
Support analysis of RNA sequencing, whole exome sequencing, spatial transcriptomics, proteomics, and other multi-omics datasets generated in radiation oncology research laboratories. * Assist ...
Support analysis of RNA sequencing, whole exome sequencing, spatial transcriptomics, proteomics, and other multi-omics datasets generated in radiation oncology research laboratories. * Assist ...
The laboratory is moving to a larger involvement in single-cell analyses and spatial transcriptomics and the successful candidate should be prepared to develop knowledge and skills in these areas.
The laboratory is moving to a larger involvement in single-cell analyses and spatial transcriptomics and the successful candidate should be prepared to develop knowledge and skills in these areas.
The laboratory is moving to a larger involvement in single-cell analyses and spatial transcriptomics and the successful candidate should be prepared to develop knowledge and skills in these areas.
The laboratory is moving to a larger involvement in single-cell analyses and spatial transcriptomics and the successful candidate should be prepared to develop knowledge and skills in these areas.
Spatial Transcriptomics information
What are the key skills and qualifications needed to thrive as a Spatial Transcriptomics Scientist, and why are they important?
To thrive as a Spatial Transcriptomics Scientist, you need a strong background in molecular biology, genomics, and bioinformatics, typically supported by an advanced degree in a life science field. Familiarity with spatial transcriptomics platforms (such as 10x Genomics Visium), next-generation sequencing (NGS) technologies, and data analysis tools like R or Python is essential. Strong problem-solving skills, attention to detail, and effective communication are important soft skills for collaborating on interdisciplinary research projects. These skills and qualities are crucial for generating high-quality spatial gene expression data and translating findings into meaningful biological insights.
What are some common challenges faced by professionals working in spatial transcriptomics, and how can they be addressed?
Professionals in spatial transcriptomics often encounter challenges related to handling large, complex datasets and integrating spatial information with gene expression data. Ensuring high-quality sample preparation and mastering advanced imaging or sequencing technologies are also frequent hurdles. These challenges can be addressed by collaborating closely with multidisciplinary teams—including bioinformaticians, molecular biologists, and imaging specialists—and staying up-to-date with the latest software tools and protocols. Continuous learning and effective communication within the team are key to overcoming technical and analytical obstacles in this rapidly evolving field.
What is spatial transcriptomics?
Spatial transcriptomics is an advanced technique that allows scientists to measure gene expression within the spatial context of tissue samples. Unlike traditional RNA sequencing, which loses information about where each gene is expressed, spatial transcriptomics preserves the physical location of gene activity in tissues. This helps researchers better understand how cells function within their native environments and interact with neighboring cells, which is especially valuable in fields like cancer research, neuroscience, and developmental biology. The method combines microscopy, molecular biology, and computational analysis to produce detailed maps of gene expression.
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What job categories do people searching Spatial Transcriptomics jobs in Alabama look for? The top searched job categories for Spatial Transcriptomics jobs in Alabama are:
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Full-time
Posted 28 days ago
Job description
Position Details
To create a Posting, first complete the information on this screen, then click the Next button or select the page in the left hand navigation menu. Proceed through all sections completing all necessary information. To submit the Posting to Human Resources, you must go to the Posting Summary Page by clicking on the Next button until you reach the Posting Summary Page or select Posting Summary Page from the left navigation menu. Once a summary page appears, hover your mouse over the orange Action button for a list of possible approval step options.
Position Information
Position Title
Research Assistant Professor-Genomic Sequencing Data Analysis
Job Summary
We are seeking a highly skilled and motivated Research Assistant Professor with expertise in genomic sequencing data analysis to join our multidisciplinary research team. The successful candidate will lead computational and statistical analyses of large-scale genomic datasets, including whole-genome, whole-exome, and transcriptomic sequencing, to advance projects in cancer biology, precision medicine, and related biomedical fields. This position offers the opportunity to develop independent research while contributing to collaborative team science.
Essential Job Duties
Preferred Qualifications
Physical Demands
FLSA
Exempt
Status
Full-Time
Skills and Attributes
Posting Detail Information
Posting Number
Will this position required travel?
yes
Will this position required night, weekend, and after hour work?
yes
Will this positon be supported using grants or contract funding?
yes
Number of Vacancies
1
Desired Start Date
Position End Date (if temporary)
Open Date
04/07/2026
Close Date
Open Until Filled
No
Special Instructions Summary
Each applicant, including all current employees, must complete and submit the following documents:
Quick Link for Internal Postings
https://tuskegee.peopleadmin.com/postings/3659
To create a Posting, first complete the information on this screen, then click the Next button or select the page in the left hand navigation menu. Proceed through all sections completing all necessary information. To submit the Posting to Human Resources, you must go to the Posting Summary Page by clicking on the Next button until you reach the Posting Summary Page or select Posting Summary Page from the left navigation menu. Once a summary page appears, hover your mouse over the orange Action button for a list of possible approval step options.
Position Information
Position Title
Research Assistant Professor-Genomic Sequencing Data Analysis
Job Summary
We are seeking a highly skilled and motivated Research Assistant Professor with expertise in genomic sequencing data analysis to join our multidisciplinary research team. The successful candidate will lead computational and statistical analyses of large-scale genomic datasets, including whole-genome, whole-exome, and transcriptomic sequencing, to advance projects in cancer biology, precision medicine, and related biomedical fields. This position offers the opportunity to develop independent research while contributing to collaborative team science.
Essential Job Duties
- Perform high-quality computational analysis of next-generation sequencing (NGS) data, including short and long-read whole-genome, whole-exome, RNA-seq, and spatial transcriptomics datasets.
- Develop and implement bioinformatics pipelines for variant calling, structural variant detection, transcriptome profiling, and integrative multi-omics analyses.
- Apply statistical and machine learning approaches to identify genomic alterations, biomarkers, and functional networks.
- Collaborate with wet-lab scientists to integrate genomic data with experimental results.
- Contribute to manuscript preparation, figure generation, and presentation of findings at scientific conferences.
- Write and contribute to competitive grant applications, providing preliminary data and computational expertise.
- Mentor graduate students, postdoctoral fellows, and research staff in computational genomics.
- Maintain data management, quality control, and reproducibility standards in accordance with institutional and funding agency guidelines,
Preferred Qualifications
- Ph.D. or equivalent degree, with postdoctoral training in bioinformatics, computational biology, genomics, computer science, statistics, or related field.
- Demonstrated expertise in NGS data analysis, including quality control, alignment, variant calling, and downstream interpretation.
- Proficiency with bioinformatics tools (e.g., GATK, samtools, bcftools, STAR, HISAT2, Cell Ranger, Seurat) and programming languages (e.g., Python, R, Bash).
- Experience working with high-performance computing and cloud-based analysis platforms.
- Experience with cancer genomics, single-cell and spatial transcriptomics, or epigenomic data analysis.
Physical Demands
FLSA
Exempt
Status
Full-Time
Skills and Attributes
- Familiarity with database development, workflow management systems (e.g., Nextflow, Snakernake), and reproducible research practices (e.g., Docker, Git).
- Strong track record of peer-reviewed publications in genomic data analysis.
- Excellent problem-solving, organizational, and communication skills.
- Ability to work effectively in multidisciplinary research teams.
Posting Detail Information
Posting Number
Will this position required travel?
yes
Will this position required night, weekend, and after hour work?
yes
Will this positon be supported using grants or contract funding?
yes
Number of Vacancies
1
Desired Start Date
Position End Date (if temporary)
Open Date
04/07/2026
Close Date
Open Until Filled
No
Special Instructions Summary
Each applicant, including all current employees, must complete and submit the following documents:
- Tuskegee University employment application
- Cover Letter
- Resume/CV
- Recommendation letters
- Copies of unofficial transcripts.
- Please note that official transcripts(s) will be required upon hire
Quick Link for Internal Postings
https://tuskegee.peopleadmin.com/postings/3659
About Tuskegee University
Sourced by ZipRecruiter
Industry
Colleges, universities, and professional schools
Company size
1,001 - 5,000 Employees
Headquarters location
Tuskegee, AL, US
Year founded
1881