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Internship Next Generation Sequencing Data Analysis Jobs

Tuskegee University

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 ...

Quest Diagnostics

Lead PHP Engineer (Laravel) - Remote

$104K - $138K/yr

The Lead PHP Engineer will provide technical leadership in developing software applications and databases for next-generation sequencing data analysis and advanced diagnostic testing.

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How much do internship next generation sequencing data analysis jobs pay per hour?

As of Jul 29, 2026, the average hourly pay for internship next generation sequencing data analysis in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

What is an Internship in Next Generation Sequencing (NGS) Data Analysis?

An Internship in Next Generation Sequencing (NGS) Data Analysis is a temporary position, often for students or recent graduates, where interns gain hands-on experience analyzing large datasets generated by advanced DNA sequencing technologies. Interns typically learn to use bioinformatics tools and software to process, interpret, and visualize genomic data, supporting research in fields like genomics, medicine, or biotechnology. This role helps interns develop practical skills in programming, statistical analysis, and biological interpretation, preparing them for careers in bioinformatics or genomics research.

What types of projects and responsibilities can I expect during an Internship in Next Generation Sequencing Data Analysis?

As an intern in Next Generation Sequencing (NGS) Data Analysis, you will typically work on analyzing large-scale sequencing datasets under the guidance of experienced bioinformaticians. Your daily tasks may include preprocessing raw sequencing data, running established pipelines for quality control and alignment, and interpreting results to assist with ongoing research projects. You may also collaborate closely with wet-lab scientists and computational teams to troubleshoot data issues and optimize analysis workflows. This role offers a valuable opportunity to gain hands-on experience with cutting-edge bioinformatics tools and contribute meaningfully to real-world genomics research.

What are the key skills and qualifications needed to thrive as an Intern in Next Generation Sequencing (NGS) Data Analysis, and why are they important?

To thrive as an Intern in Next Generation Sequencing (NGS) Data Analysis, you need a solid background in molecular biology, genetics, or bioinformatics, often supported by current enrollment in a relevant degree program. Familiarity with NGS platforms, bioinformatics tools (like FASTQC, BWA, GATK), and programming languages such as Python or R is typically required. Strong analytical thinking, problem-solving abilities, and effective communication skills help you interpret data and collaborate with research teams. These skills are crucial for accurately analyzing complex genomic data and contributing to impactful scientific research.

What is the difference between Internship Next Generation Sequencing Data Analysis vs Bioinformatics Intern?

AspectInternship Next Generation Sequencing Data AnalysisBioinformatics Intern
Required SkillsGenomic data analysis, NGS tools, basic programmingBioinformatics tools, scripting, data interpretation
Work EnvironmentLaboratories, research institutions, biotech companiesResearch labs, biotech firms, academic settings
CertificationsRelevant coursework, basic bioinformatics knowledgeBioinformatics courses, programming skills
Industry UsageGenomics, personalized medicine, biotech researchGenomics, systems biology, data science

While both roles involve working with biological data, the Internship Next Generation Sequencing Data Analysis focuses specifically on analyzing sequencing data using specialized tools, whereas the Bioinformatics Intern has a broader scope, including various bioinformatics analyses and scripting. Both positions are entry-level, requiring foundational knowledge in biology and programming, and are commonly found in research and biotech environments.

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Internship Next Generation Sequencing Data Analysis jobs near you
Infographic showing various Internship Next Generation Sequencing Data Analysis job openings in the United States as of July 2026, with employment types broken down into 85% Full Time, 13% Part Time, and 2% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.

Research Assistant Professor-Genomic Sequencing Data Analysis

Tuskegee University

On-site

Full-time

Re-posted 24 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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