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Postdoc Single Cell Rna Sequencing Analysis Jobs in Alabama

Tuskegee University

Mentor graduate students, postdoctoral fellows, and research staff in computational genomics ... Experience with cancer genomics, single-cell and spatial transcriptomics, or epigenomic data ...

UAB NOVA RENT

RESEARCHER ASSISTANT

Birmingham, AL · On-site

$26.80/hr

... analysis, and maintaining accurate records. Your support will be crucial in helping senior team ... culture, single-cell RNA-seq). * Safe and responsible contact with animal-derived specimens.

UAB NOVA RENT

RESEARCHER III

Birmingham, AL · On-site

Perform viral and bacterial genome (DNA and RNA), PCR amplifications for DNA sequencing and analyze ... Culture cell lines and primary cells. * Isolate cells from blood and tissue samples. * Process ...

UAB NOVA RENT

RESEARCHER

Birmingham, AL · On-site

$65K/yr

... flow cytometry and cell sorting, DNA/RNA/protein extraction and quantification, histology ... analyzing data, and may involve assistants in publishing findings. You will collaborate with cross ...

UAB NOVA RENT

RESEARCHER

Birmingham, AL · On-site

$50K - $65K/yr

... cytometry and cell sorting, DNA/RNA/protein extraction and quantification, histology, and ... analyzing data, and may involve assistants in publishing findings. * You will collaborate with ...

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Postdoc Single Cell Rna Sequencing Analysis information

What is the difference between Postdoc Single Cell Rna Sequencing Analysis vs Postdoc Bioinformatics?

AspectPostdoc Single Cell Rna Sequencing AnalysisPostdoc Bioinformatics
Required CredentialsPhD in Biology, Genetics, or related field; experience in sequencing data analysisPhD in Computer Science, Bioinformatics, or related field; programming skills essential
Work EnvironmentResearch labs focusing on genomics and cell biologyResearch institutions, biotech companies, or academic labs with computational focus
Employer & Industry UsageBiotech, academic research, pharmaceutical companiesBiotech, healthcare, academic research, industry R&D

Postdoc Single Cell Rna Sequencing Analysis specialists focus on analyzing single-cell transcriptomics data, often requiring biological expertise and lab experience. In contrast, Postdoc Bioinformatics roles emphasize computational skills and software development to interpret large datasets across various biological contexts. Both roles are vital in genomics research but differ in their primary focus and skill set.

What are the key skills and qualifications needed to thrive as a Postdoc in Single Cell RNA Sequencing Analysis, and why are they important?

To thrive as a Postdoc in Single Cell RNA Sequencing Analysis, you need a strong background in molecular biology, genomics, and bioinformatics, typically supported by a PhD in a relevant field. Proficiency with computational tools such as R, Python, and specialized single-cell analysis platforms (e.g., Seurat, Scanpy), as well as experience with data visualization and next-generation sequencing, is essential. Strong problem-solving abilities, effective communication, and collaboration skills help distinguish top candidates in interdisciplinary research environments. These skills enable accurate data interpretation, drive innovation, and support impactful scientific discoveries in complex biological systems.

What are some common challenges faced by postdocs working in single cell RNA sequencing analysis, and how can they be addressed?

Postdocs in single cell RNA sequencing analysis often encounter challenges such as managing large and complex datasets, integrating multi-omic data, and staying current with rapidly evolving bioinformatics tools. Collaborating closely with wet lab scientists and computational biologists is essential to interpret results accurately and to troubleshoot technical issues. Building strong programming and statistical skills, as well as actively participating in lab meetings and seminars, can help address these challenges and contribute to both personal growth and successful project outcomes.

What does a Postdoc in Single Cell RNA Sequencing Analysis do?

A Postdoc in Single Cell RNA Sequencing (scRNA-seq) Analysis specializes in analyzing gene expression data from individual cells. Their main responsibilities include processing raw sequencing data, performing quality control, identifying cell types or states, and interpreting biological insights from the data. They often develop or apply computational methods to handle large datasets, collaborate with experimental biologists, and present findings through publications or conferences. The ultimate goal is to understand cellular heterogeneity and uncover new biological mechanisms at the single-cell level.
What are popular job titles related to Postdoc Single Cell Rna Sequencing Analysis jobs in Alabama? For Postdoc Single Cell Rna Sequencing Analysis jobs in Alabama, the most frequently searched job titles are:
What job categories do people searching Postdoc Single Cell Rna Sequencing Analysis jobs in Alabama look for? The top searched job categories for Postdoc Single Cell Rna Sequencing Analysis jobs in Alabama are:
Postdoc Single Cell Rna Sequencing Analysis jobs near you
Research Assistant Professor-Genomic Sequencing Data Analysis

Research Assistant Professor-Genomic Sequencing Data Analysis

Tuskegee University

On-site

Full-time

Posted 11 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
  • 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

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