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Internship Next Generation Sequencing Data Analysis Jobs

Experience using Sanger sequencing and next generation sequencing platforms * Ability to utilize ... data analysis and drafting project reports describing progress which documents and summarizes the ...

POSTDOCTORAL

Miami, FL ยท On-site

$46K - $63K/yr

Applicants with experience in stem cell biology or who are familiar with bioinformatic tools (particularly next generation sequencing data analysis) are encouraged to apply. The ideal applicant is a ...

... Next Generation Sequencing (NGS) based diagnostics. In addition, bioinformatics analysis of various types of patient genomic, epigenomic and transcriptomic data is required. This is a great ...

Work with a cutting-edge genomics workflow to provide high-quality next-generation sequencing data with rapid turnaround times in a clinical laboratory. Perform routine testing, quality control ...

Work with a cutting-edge genomics workflow to provide high-quality next-generation sequencing data with rapid turnaround times in a clinical laboratory. Perform routine testing, quality control ...

Company Description Qualifications * BS/MS in computer science, bioinformatics, or related field * 1+ year(s) experience analyzing next-generation sequencing data * Recent coding experience with a ...

Work with a cutting-edge genomics workflow to provide high-quality next-generation sequencing data with rapid turnaround times in a clinical laboratory. * Perform routine testing, quality control ...

Work with a cutting-edge genomics workflow to provide high-quality next-generation sequencing data with rapid turnaround times in a clinical laboratory. Perform routine testing, quality control ...

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Lab Technician - Next Generation Sequencing (NGS) Location: Gaithersburg, MD Job Type: Part-time, ... Participate in data analysis and interpretation, as needed, in collaboration with the ...

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Lab Technician - Next Generation Sequencing (NGS) Location: Gaithersburg, MD Job Type: Part-time, ... Participate in data analysis and interpretation, as needed, in collaboration with the ...

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

As of Aug 10, 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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Infographic showing various Internship Next Generation Sequencing Data Analysis job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.

Bioinformatics Full-Stack Developer

Signature Science, LLC

Charlottesville, VA โ€ข On-site

$105K/yr

Full-time

Posted 27 days ago


Job description

Position Purpose:   

The bioinformatics full-stack developer is responsible for building and maintaining a digital bridge between frontend user-facing applications and backend bioinformatics pipelines. This position will oversee the delivery of high-quality software capable of analyzing nucleotide sequence data to produce actionable and user-friendly reports. The ideal candidate will be prepared to oversee and contribute to the development of an integrated software stack for characterization of DNA sequencing data on local hardware systems. 
             

This position is a full-time, on-site role at the Signature Science office in Charlottesville, VA.

Essential Duties and Responsibilities:

  • Work with a team to develop and test full-stack software for analysis and interpretation of whole genome sequencing data, including front and back-end software components.
  • Implement and test data processing workflows and automated analysis pipelines. Optimize reproducible software pipelines that produce consistent, standardized results.
  • Oversee workflow bench marking and testing, identifying inconsistencies and resolving issues.
  • Contribute to management of computing hardware, operational logistics, and data warehousing.
  • Contribute to the preparation of standard operating procedures, document source code/workflows, and write reports to summarize computational requirements, processing status, and customized analysis results.
  • Communicate and interact regularly with project team members and stakeholders. 

Required Knowledge, Skills & Abilities:

  • Advanced proficiency working in a Unix/Linux environment.
  • Advanced proficiency using version control software (e.g., Git) to manage programming code.
  • Advanced proficiency with C++.
  • Proficiency in developing software user interfaces.
  • Proficiency with open-source software, tools, and databases for analyzing next-generation sequencing data.
  • Proficiency with at least one programming or run-time interpreted programming language.
  • Proficiency with Continuous Integration and Continuous Deployment/Delivery (CI/CD).
  • Experience managing a development project including multiple teams.
  • Familiarity with issue and project tracking software.
  • Skilled at time and priority management.
  • Excellent written and oral communication skills.
  • Preferred: Proficiency with Python.
  • Preferred: proficiency with R, RMarkdown, and the "tidyverse" tools for data analysis.
  • Preferred: Experience with NextFlow, SnakeMake, or similar workflow/pipeline management systems.
  • Preferred: Proficiency working with and developing using containerization technology.
  • Preferred: Familiarity with AWS and/or Azure cloud computing.

Education/Experience:

  • Required: 5+ years of previous work experience in a full-stack developer role
  • Required: BS/BA in Computer Science, Software Engineering, Bioinformatics, or related field
  • Preferred: MS or PhD in Computer Science, Software Engineering, Bioinformatics, or related field
  • Preferred: Experience managing and analyzing large-scale datasets produced by DNA sequencing platforms and delivering solutions for managing, visualizing, analyzing, and interpreting genomic data

Clearance:

  • This position requires that the candidate be willing and able to complete a successful background screening for a security clearance. Candidates with a current security clearance will receive preference.

 

Supervisory Responsibilities:

  • Serve as a task leader within one or more projects.

 

Working Conditions/ Equipment:

  • Ability to work in varying conditions to include traditional office environments with extended sedentary periods required for code development and testing.