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Internship Research Assistant Machine Learning Jobs in Alabama

Tuskegee University

Position Information Position Title Research Assistant Professor-Genomic Sequencing Data Analysis ... Apply statistical and machine learning approaches to identify genomic alterations, biomarkers, and ...

Samford University

Research Assistant

Birmingham, AL · On-site

$19.25 - $26.50/hr

Description The Research Assistant for the Office of University Historian assists in all aspects of ... Occasionally move in an archival or office setting to access filing cabinets, office machinery, etc.

Bespoke Labs

Machine Learning Engineer

Mobile, AL · On-site

About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

Bespoke Labs

Machine Learning Engineer

Tuscaloosa, AL · On-site

About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

Bespoke Labs

Machine Learning Engineer

Birmingham, AL · On-site

About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

Bespoke Labs

Machine Learning Engineer

Montgomery, AL · On-site

About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

Bespoke Labs

Machine Learning Engineer

Huntsville, AL · On-site

About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

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All JobsInternship Research Assistant Machine Learning JobsInternship Research Assistant Machine Learning Jobs in Alabama

Internship Research Assistant Machine Learning information

What are the big 4 internships?

The 'Big 4' internships typically refer to internship programs offered by the four largest professional services firms: Deloitte, PricewaterhouseCoopers (PwC), Ernst & Young (EY), and KPMG. These firms offer internships in areas such as consulting, audit, tax, and advisory, providing valuable experience for aspiring professionals, including those interested in roles like Internship Research Assistant in machine learning if related to data analysis or consulting projects. Securing these internships often requires strong academic performance, relevant skills, and competitive application processes.

Which 5 jobs will survive AI?

For an Internship Research Assistant in Machine Learning, roles that involve complex problem-solving, creativity, and human judgment—such as research scientist, data scientist, AI ethicist, machine learning engineer, and technical project manager—are more likely to persist despite AI advancements. These positions require specialized skills, critical thinking, and collaboration that are difficult for AI to fully replicate. Continuous learning and expertise in tools like Python, TensorFlow, or PyTorch enhance job security in this field.

How to get an AI ML internship?

To secure an AI ML internship, candidates should develop strong programming skills in languages like Python, gain experience with machine learning frameworks such as TensorFlow or PyTorch, and build a portfolio of relevant projects. Applying through company career portals, leveraging university connections, and demonstrating knowledge of data analysis and algorithms can improve chances. Internships often require a background in computer science, mathematics, or related fields, and may involve technical assessments or interviews.

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.

How much do ML interns get paid?

Machine Learning internship research assistants typically earn between $15 and $30 per hour, depending on the company, location, and level of experience. Paid internships often include opportunities to work with tools like Python and TensorFlow and may be full-time or part-time during the summer or academic year.
What are popular job titles related to Internship Research Assistant Machine Learning jobs in Alabama? For Internship Research Assistant Machine Learning jobs in Alabama, the most frequently searched job titles are:
What job categories do people searching Internship Research Assistant Machine Learning jobs in Alabama look for? The top searched job categories for Internship Research Assistant Machine Learning jobs in Alabama are:
What cities in Alabama are hiring for Internship Research Assistant Machine Learning jobs? Cities in Alabama 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

Research Assistant Professor-Genomic Sequencing Data Analysis

Tuskegee University

On-site

Full-time

Posted 22 days ago

Job description

Position Details
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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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