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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 ...

Upenn

... next-generation sequencing data analysis is desirable but not required. The University of Pennsylvania is an equal opportunity employer. Candidates are considered for employment without regard to ...

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

As of Sep 15, 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?

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 September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 12% Part Time, and 2% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% 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, AL • On-site

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

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Re-posted 10 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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