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Internship Next Generation Sequencing Data Analysis Jobs

Natera

Bioinformatician

OR · On-site +1

$87K - $127K/yr

Process Next Generation Sequencing (NGS) data using existing workflows * Work alongside molecular biologists, providing analytical and computational support to experiments and development * Triage ...

IHRC, Inc.

Bioinformatician II

Atlanta, GA · On-site

Conduct production-level quality control and analysis on next-generation sequencing data produced locally and from outside labs. * Provide technical assistance on tasks related to genomic ...

IHRC, Inc.

Bioinformatician III

Atlanta, GA · On-site

Conduct production-level quality control and analysis on next-generation sequencing data produced locally and from outside labs. * Provide technical assistance on tasks related to genomic ...

IHRC INCORPORATED

Bioinformatician III

Atlanta, GA · On-site

Conduct production-level quality control and analysis on next-generation sequencing data produced locally and from outside labs. * Provide technical assistance on tasks related to genomic ...

IHRC INCORPORATED

Bioinformatician II

Atlanta, GA · On-site

Conduct production-level quality control and analysis on next-generation sequencing data produced locally and from outside labs. * Provide technical assistance on tasks related to genomic ...

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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.

Bioinformatics Scientist (52707)

Bethesda, MD • On-site

GAP Solutions, Inc
See more jobs at GAP Solutions, Incexternal

$165K - $175K/yr

Full-time

Posted 3 days ago

New

Job description

Position Objective: The Bioinformatics Scientist will provide support services to the National Cancer Institute within the National Institutes of Health.
Duties and Responsibilities:
  • Use existing infrastructure and optimize Exome/Targeted/RNA Sequencing Data
  • Analysis pipelines for clinical sequencing projects. 1
  • Develop pipelines to integrate complex genomic data including germ line, somatic
  • DNA mutations, RNAseq and SNP assays. 2
  • Work with staff on the production of a data compendium enumerating the frequency of variations from tumor/normal samples. 3
  • Install and maintain local version of cBIO Portal.
  • Upload Labs Data on cBIO Portal for easy visualization.
  • Work with staff to utilize NIH Biowulf computer clusters to process data streamed off the next generation sequencers (NGS); process data in a batch mode. Perform biological sequence analysis/assembly and public genome databases.
  • Collect and review data; analyze and interpret data and results; provide reports based on analysis of scientific data.
  • Report research outcomes and make recommendations for future work.
  • Work with staff on data visualization to support the preparation of presentations and manuscripts for submission to scientific journals.
  • Bioinformatics Lab meetings, scheduling and notes writing.
  • Co-write manuscripts.
  • Develop annotation algorithms and databases with all publically available data including Annovar, 1000genomes, ExAC, MyCancerGenome, ClinSeq, ESP, ClinVar, HGMD and other databases as released.
  • Develop new algorithms for analysis of next generation sequencing and other genomics data.
  • Support implementation of publically available tools in local server environment.
  • Write manuals to implement tools for other users.
  • Teach staff to use NGS and other genomic analysis tools.
  • Provide advice to staff about data analysis pipelines.
  • Work products and documents related to using existing infrastructure and optimizing pipelines for clinical sequencing projects; develop pipelines to integrate data; work with staff on the production of a data compendium enumerating the frequency of variations from tumor/normal samples.
  • Work products and documents related to installing and maintaining local version of cBIO
  • Portal; upload data on cBIO Portal; process data streamed off the NGS; process data in a batch mode.
  • Work products and documents related to performing biological sequence analysis/ assembly; collect, review, analyze and interpret data; prepare reports; manage Bioinformatics Lab meetings; co-write manuscripts.
  • Work products and documents related to developing annotation algorithms and databases; develop new algorithms for analysis of next generation sequencing and other genomics data.
  • Work products and documents related to implementing tools in local server environment; write manuals; teach staff

Basic Qualifications:
  • Master's degree in Bioinformatics or related field of study
  • Skilled in R, Next gen sequencing data analysis: Bulk RNA-Sequencing
  • Single Cell RNA-Sequencing, and working with large data sets

Preferred Qualifications:
  • Ability to communicate effectively, orally and in writing, with non-technical and technical staff
  • Detail-oriented and possess strong organizational skills with the ability to prioritize multiple tasks and projects

*This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required by this position.
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed above are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
GAP Solutions provides reasonable accommodations to qualified individuals with disabilities. If you need an accommodation to apply for a job, email us at recruiting@gapsi.com. You will need to reference the requisition number of the position in which you are interested. Your message will be routed to the appropriate recruiter who will assist you. Please note, this email address is only to be used for those individuals who need an accommodation to apply for a job. Emails for any other reason or those that do not include a requisition number will not be returned.
Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law.
This position is contingent upon contract award.

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