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Internship Bioinformatics Internship Jobs in Raleigh, NC

Internship Bioinformatics Internship information

See Raleigh, NC salary details

$8

$16

$23

How much do internship bioinformatics internship jobs pay per hour?

As of Jul 19, 2026, the average hourly pay for internship bioinformatics internship in Raleigh, NC is $16.82, according to ZipRecruiter salary data. Most workers in this role earn between $14.04 and $18.70 per hour, depending on experience, location, and employer.

What types of projects do bioinformatics interns typically work on, and how are tasks assigned within the team?

Bioinformatics interns often contribute to projects such as analyzing genomic datasets, developing or testing data analysis pipelines, and assisting with the interpretation of biological data using computational tools. Tasks are usually assigned based on both the intern’s background and the current needs of the research group or company, with mentorship provided by experienced bioinformaticians. Interns may work independently on smaller tasks, but larger projects frequently involve collaboration with other team members, such as biologists, data scientists, and software engineers, to achieve shared research goals.

What is the difference between Internship Bioinformatics Internship vs Bioinformatics Technician?

AspectInternship Bioinformatics InternshipBioinformatics Technician
Required CredentialsTypically pursuing or recent graduate in bioinformatics, biology, or related fieldAssociate's or Bachelor's degree in bioinformatics, biology, or related field
Work EnvironmentTemporary, training-focused, often in academic or research settingsFull-time, operational role in labs or biotech companies
Employer & Industry UsageInternship programs in research institutions, universities, biotech firmsEstablished role in biotech, healthcare, and research organizations

The Internship Bioinformatics Internship is a temporary, training-focused position for students or recent graduates, emphasizing skill development. In contrast, a Bioinformatics Technician is a full-time role requiring more experience, responsible for routine data analysis and lab tasks. Both roles are essential in the bioinformatics field but differ mainly in experience level, responsibilities, and employment status.

What are the key skills and qualifications needed to thrive as a Bioinformatics Intern, and why are they important?

To thrive as a Bioinformatics Intern, you generally need a background in biology, computer science, or a related field, along with foundational knowledge of genetics and statistics. Familiarity with programming languages such as Python or R, experience with bioinformatics tools (like BLAST or Galaxy), and an understanding of databases (e.g., NCBI, Ensembl) are typically required. Strong analytical thinking, attention to detail, and effective communication skills help interns interpret complex data and collaborate within research teams. These skills and qualities are crucial for accurately analyzing biological data and contributing to meaningful scientific discoveries.

What is a Bioinformatics Internship?

A Bioinformatics Internship is a temporary position, often for students or recent graduates, that provides hands-on experience in the field of bioinformatics. Interns typically work with large biological data sets, learn to use specialized software and programming languages, and assist in research projects related to genomics, proteomics, or computational biology. These internships help individuals gain practical skills, build professional networks, and explore career opportunities in bioinformatics or related fields.
What job categories do people searching Internship Bioinformatics Internship jobs in Raleigh, NC look for? The top searched job categories for Internship Bioinformatics Internship jobs in Raleigh, NC are:
Infographic showing various Internship Bioinformatics Internship job openings in Raleigh, NC as of July 2026, with employment types broken down into 28% As Needed, 57% Full Time, 11% Part Time, 2% Contract, 1% Nights, and 1% Summer. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution, with an average salary of $34,990 per year, or $16.8 per hour.
Bioinformatician, Operational Support

Bioinformatician, Operational Support

NeoGenomics

Durham, NC • On-site

Other

Medical, Retirement, PTO

Re-posted 14 days ago


NeoGenomics rating

8.0

Company rating: 8.0 out of 10

Based on 34 frontline employees who took The Breakroom Quiz

41st of 105 rated laboratories


Job description

Are you motivated to participate in a dynamic, multi-tasking environment? Do you want to join a company that invests in its employees? Are you seeking a position where you can use your skills while continuing to be challenged and learn? Then we encourage you to dive deeper into this opportunity.
We believe in career development and empowering our employees. Not only do we provide career coaches internally, but we offer many training opportunities to expand your knowledge base! We have highly competitive benefits with a variety HMO and PPO options. We have company 401k match along with an Employee Stock Purchase Program. We have tuition reimbursement, leadership development, and even start employees off with 16 days of paid time off plus holidays. We offer wellness courses and have highly engaged employee resource groups. Come join the Neo team and be part of our amazing World Class Culture!
NeoGenomics is looking for a Bioinformatician (Operational Support) who wants to learn to continue to learn in order to allow our company to grow. This is an onsite position to work out of the laboratory in Durham, NC with a Monday - Friday, day shift.
Now that you know what we're looking for in talent, let us tell you why you'd want to work at NeoGenomics:
As an employer, we promise to provide you with a purpose driven mission in which you have the opportunity to save lives by improving patient care through the exceptional work you perform. Together, we will become the world's leading cancer reference laboratory.
Position Summary:
As a Bioinformatician, Operational Support, you provide essential bioinformatics support for wet-lab operations, with a primary focus on the monitoring, maintenance, and troubleshooting of production next-generation sequencing (NGS) pipelines. You will embedded within a CAP-, CLIA-, and NY State-registered clinical laboratory and plays a critical role in ensuring the accuracy, reliability, and regulatory compliance of genomic data workflows.
Responsibilities:
  • Monitor production NGS pipelines on a daily basis to ensure successful execution and data integrity
  • Identify, triage, and resolve pipeline failures, data quality issues, and workflow bottlenecks in a timely manner
  • Collaborate with wet-lab scientists to diagnose sequencing and data processing issues and escalate as needed
  • Track pipeline performance metrics and generate routine status reports for laboratory and quality teams
  • Support onboarding and validation of new sample types, assays, or sequencing instruments into existing pipelines
  • Operate within the quality management framework of a CAP/CLIA/NY State-accredited laboratory
  • Maintain thorough documentation of pipeline activities, changes, and incident reports in accordance with regulatory requirements
  • Assist in the development and review of standard operating procedures (SOPs) related to bioinformatics workflows
  • Participate in internal audits, proficiency testing, and quality review activities as requested
  • Contribute to pipeline development and optimization projects under the guidance of senior bioinformaticians
  • Write and maintain scripts in Python and/or R to automate data processing, QC, and reporting tasks
Education, Experience & Qualifications:
  • Bachelor's or Master's degree in Bioinformatics, Computational Biology, Genomics, Computer Science, or a closely related field - or an equivalent combination of education and relevant professional experience
  • At least 2 years of hands-on experience with NGS data analysis workflows (academic research, internship, or industry); advanced degree may substitute for experience
  • Working proficiency in Python and/or R for data manipulation, scripting, and analysis
  • Familiarity with common NGS file formats (FASTQ, BAM, VCF) and bioinformatics tools (e.g., BWA, GATK, samtools, or equivalent)
  • Strong troubleshooting and problem-solving skills with a systematic, documentation-driven approach
  • Excellent written and verbal communication skills; ability to collaborate effectively with both scientific and non-scientific colleagues
  • Experience working in or supporting a CAP-, CLIA-, and/or NY State-regulated clinical or diagnostic laboratory
  • Familiarity with quality management systems (QMS), SOPs, or laboratory compliance documentation
  • Exposure to workflow management systems such as Nextflow, Snakemake, or WDL/Cromwell
  • Knowledge of clinical genomics applications (oncology, rare disease, pharmacogenomics, etc.)

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