ZipRecruiter

Log In

1

Internship Next Generation Sequencing Data Analysis Jobs

IHRC INCORPORATED

Bioinformatician II

Atlanta, GA

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 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 ...

Actalent

Lab Technician/ Biologist

New Haven, CT · On-site

$20 - $30/hr

Conduct and support Next-Generation Sequencing (NGS) workflows, including sample preparation, sequencing analysis, and interpretation of genomic data. * Analyze, interpret, and present complex ...

Actalent

Lab Technician/ Biologist

New Haven, CT · On-site

$20 - $30/hr

Conduct and support Next-Generation Sequencing (NGS) workflows, including sample preparation, sequencing analysis, and interpretation of genomic data. * Analyze, interpret, and present complex ...

ASRT

Bioinformatician I

Atlanta, GA · On-site

Analysis of next-generation sequencing data, including QC, alignment, quantification, or phylogeny tools Language Skills: * The candidate must possess excellent oral and written communication skills ...

ASRT, Inc.

Bioinformatician I

Atlanta, GA · On-site

$70K - $85K/yr

Analysis of next-generation sequencing data, including QC, alignment, quantification, or phylogeny tools Language Skills: * The candidate must possess excellent oral and written communication skills ...

ASRT Inc

Bioinformatician I

Atlanta, GA · On-site

$70K - $85K/yr

Analysis of next-generation sequencing data, including QC, alignment, quantification, or phylogeny tools Language Skills: * The candidate must possess excellent oral and written communication skills ...

previous pagenext page

Showing results 21-40

All JobsNext Generation Sequencing Data Analysis JobsInternship Next Generation Sequencing Data Analysis Jobs

Internship Next Generation Sequencing Data Analysis information

See salary details

$12

$22

$42

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.

More about Internship Next Generation Sequencing Data Analysis jobs
What cities are hiring for Internship Next Generation Sequencing Data Analysis jobs? Cities with the most Internship Next Generation Sequencing Data Analysis job openings:
What are the most commonly searched types of Next Generation Sequencing Data Analysis jobs? The most popular types of Next Generation Sequencing Data Analysis jobs are:
What states have the most Internship Next Generation Sequencing Data Analysis jobs? States with the most job openings for Internship Next Generation Sequencing Data Analysis jobs include:
What job categories do people searching Internship Next Generation Sequencing Data Analysis jobs look for? The top searched job categories for Internship Next Generation Sequencing Data Analysis jobs are:
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 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.

Data Scientist - Computational Biology

Penfield Search Partners

Waltham, MA • Hybrid

$63K - $64K/yr

Full-time

Posted 20 days ago

Job description

Job Description Contact: Neisha Camacho/Terra Parsons - teamnt@penfieldsearch.com No 3rd party candidates Location: Waltham, MA (Hybrid - 4 days onsite/week) Penfield Search Partners is partnering with an innovative biotechnology company to identify a Data Scientist - Computational Biology contractor for a six-month assignment. This individual will support drug discovery research by processing, analyzing, visualizing, and interpreting next-generation sequencing (NGS) datasets, with a strong emphasis on transcriptomics and long-read sequencing technologies. The ideal candidate has hands-on experience with RNA sequencing data, strong computational biology expertise, and enjoys collaborating closely with experimental scientists to generate biological insights that advance therapeutic discovery

Key Responsibilities Process, analyze, visualize, and interpret NGS datasets, including bulk RNA-seq, single-cell RNA-seq (scRNA-seq), and long-read RNA sequencing data. Perform bioinformatics analyses including quality control, sequence alignment, quantification, differential expression, isoform characterization, splicing analysis, and biological interpretation. Collaborate with cross-functional teams of experimental scientists, computational biologists, and research leaders to support target discovery and validation efforts.

Translate computational findings into meaningful biological insights that inform research decisions. Evaluate and implement new bioinformatics tools, analytical methods, and emerging technologies relevant to transcriptomics and functional genomics. Develop scripts, workflows, and analytical pipelines to support reproducible and scalable data analysis.

Contribute to study design, analytical strategy, and interpretation of research findings. Present results and communicate complex analyses clearly to technical and non-technical stakeholders. Deliver high-quality work while managing multiple priorities in a collaborative research environment.

Qualifications Education & Experience MS or PhD in Bioinformatics, Computational Biology, Systems Biology, Genomics, or a related scientific discipline. Relevant industry, academic, or postdoctoral research experience in computational biology or bioinformatics. Required Skills Hands-on experience analyzing NGS datasets, particularly: Bulk RNA-seq Single-cell RNA-seq (scRNA-seq) Long-read RNA sequencing using Nanopore (required) Experience with PacBio sequencing is a plus.

Strong understanding of transcriptomics, differential expression analysis, isoform discovery, and RNA splicing analysis. Proficiency in Python and/or R. Experience working in Linux environments and high-performance computing (HPC) or cloud platforms such as AWS.

Familiarity with genome annotation resources, biological pathway databases, and systems biology concepts. Commitment to reproducible research, documentation, and version control best practices. Preferred Experience Experience with additional functional genomics data such as ATAC-seq, ChIP-seq, or PRO-seq.

Drug discovery or biotechnology industry experience. Experience collaborating with laboratory scientists in a multidisciplinary research environment. What We're Looking For We're seeking someone who is curious, collaborative, and scientifically driven, with excellent communication skills and the ability to work closely with both computational and experimental teams.

This individual should be comfortable presenting previous research, explaining analytical approaches, and contributing to a fast-paced drug discovery environment.

Apply