ZipRecruiter

Log In

1

Internship Research Assistant Machine Learning Jobs in Auburn, AL

Auburn University

TES Research Associate

Auburn, AL · On-site

Responsibilities : • Developing and implementing machine learning and deep learning models to ... research reports, manuscripts, and grant proposals • This position will provide hands-on ...

Auburn

TES Research Associate

Auburn, AL · On-site

$55 - $75/hr

... assist Auburn University while gaining valuable work experience within higher education. AU ... Developing and implementing machine learning and deep learning models to analyze forestry ...

Auburn

Assistant/Associate/Full Professor

Auburn, AL · On-site

$80 - $110/hr

... machine learning methodologies applied to thermal sciences. Industry experience is encouraged but ... research results in appropriate scholarly outlets; directing graduate students; teaching ...

OCV LLC

Part-Time Business Intelligence Intern

Opelika, AL · On-site

$13.50 - $17/hr

... research assistant? We are OCV LLC. For more than 15 years, we have specialized in mobile app ... Our Product Owner Interns are key to ensure timely delivery of our tech products. What We Offer:

next page

Showing results 1-20

All JobsResearch Machine Learning JobsInternship Research Assistant Machine Learning JobsInternship Research Assistant Machine Learning Jobs in Auburn, AL

Internship Research Assistant Machine Learning information

See Auburn, AL salary details

$5

$16

$26

How much do internship research assistant machine learning jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for internship research assistant machine learning in Auburn, AL is $16.15, according to ZipRecruiter salary data. Most workers in this role earn between $12.45 and $19.28 per hour, depending on experience, location, and employer.

What is the difference between Internship Research Assistant Machine Learning vs Research Assistant Data Science?

AspectInternship Research Assistant Machine LearningResearch Assistant Data Science
Required CredentialsUndergraduate or graduate in CS, AI, or related fieldsUndergraduate or graduate in CS, Statistics, or related fields
Work EnvironmentAcademic labs, research institutions, tech companiesAcademic institutions, research centers, industry
Employer & Industry UsageUniversities, research firms, tech companies focusing on AI/MLUniversities, research organizations, data-driven industries
Common Search & ComparisonYesYes

The Internship Research Assistant Machine Learning and Research Assistant Data Science roles share similarities in educational background and work environments. However, the Machine Learning position emphasizes AI and ML-specific skills, while Data Science focuses more on statistical analysis and data management. Both roles are common in academic and industry settings, often compared by students and professionals exploring research opportunities in data-driven fields.

What job categories do people searching Internship Research Assistant Machine Learning jobs in Auburn, AL look for?

The top searched job categories for Internship Research Assistant Machine Learning jobs in Auburn, AL are:

What cities near Auburn, AL are hiring for Internship Research Assistant Machine Learning jobs?

Cities near Auburn, AL with the most Internship Research Assistant Machine Learning job openings:

Internship Research Assistant Machine Learning jobs near you

Research Assistant Professor-Genomic Sequencing Data Analysis

Tuskegee University

Tuskegee, AL • On-site

$110 - $150/hr

Other

Re-posted 2 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
#J-18808-Ljbffr

Apply