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Research Computing Jobs in Alabama (NOW HIRING)

Tuskegee University

Position Information Position Title Research Assistant Professor-Genomic Sequencing Data Analysis ... Experience working with high-performance computing and cloud-based analysis platforms. * Experience ...

UAB NOVA RENT

SCIENTIST II

Birmingham, AL · On-site

This role is designed for an early-career researcher who recently completed (preferably within the last 10 years) a PhD in biomedical informatics, computing, data science, artificial intelligence, or ...

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How much do research computing jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for research computing in Alabama is $20.14, according to ZipRecruiter salary data. Most workers in this role earn between $15.67 and $21.59 per hour, depending on experience, location, and employer.

What is research computing?

A Research Computing job involves supporting computational and data-intensive research by providing expertise in high-performance computing (HPC), data management, software development, and cloud technologies. Professionals in this field work closely with researchers to optimize code, manage large datasets, and ensure efficient use of computing resources. They may also develop and maintain computing infrastructure, troubleshoot technical issues, and assist with grant proposals requiring specialized computing capabilities.

What does someone working in research computing do?

In a Research Computing role, you will often support researchers by managing and optimizing access to high-performance computing resources, troubleshooting technical issues, and assisting with the setup of specialized software or tools. You may also help develop computational workflows, maintain data storage systems, and guide users on best practices for maximizing resource efficiency. Collaboration with scientists, faculty, and IT staff is common, as you play a key role in enabling advanced research projects. This hands-on, problem-solving environment provides opportunities to learn new technologies and contribute directly to impactful scientific work.

What are the key skills and qualifications needed to thrive in research computing?

To excel in Research Computing, a strong background in computer science, data analysis, and scientific research methodologies is essential, often supported by an advanced degree in a STEM field. Familiarity with high-performance computing (HPC) systems, cluster management tools, programming languages (such as Python, R, or C++), and certifications in cloud platforms or data science are commonly required. Effective problem-solving, collaboration, and communication skills help professionals work closely with researchers and interdisciplinary teams. These skills and qualities are crucial for supporting complex computational research, ensuring efficient system use, and driving innovation in scientific discovery.

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Research Computing jobs near you
Infographic showing various Research Computing job openings in Alabama as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 82% Full Time, 12% Part Time, and 4% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $41,895 per year, or $20.1 per hour.

Research Assistant Professor-Genomic Sequencing Data Analysis

Tuskegee, AL • On-site

Tuskegee University
Colleges, Universities, and Professional Schools • 1 - 5K employees
Learn more about Tuskegee Universityexternal

Other

Re-posted 9 days ago

Job description

Research Assistant Professor-Genomic Sequencing Data Analysis

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.

  • 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

FLSA Exempt

Status

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.
Additional Employment Details

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

Vacancies

Number of Vacancies 1

Open Date

04/07/2026

Open Until Filled

No

Documents Needed to Apply

Required Documents

  • Resume
  • Cover Letter
  • Transcript 1
  • Letter of Recommendation 1
  • Letter of Recommendation 2
  • Letter of Recommendation 3
Optional Documents
  • Other
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