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Intern Bioinformatics Analyst Jobs in Raleigh, NC

Associate Data Scientist

Durham, NC · Hybrid

$57K - $57K/yr

Collect, clean, and analyze large and complex healthcare and operational datasets. * Build, test ... Master's degree in Data Science, Computer Science, Statistics, Mathematics, Bioinformatics ...

New

Associate Data Scientist

Durham, NC · On-site

$57K - $57K/yr

Collect, clean, and analyze large and complex healthcare and operational datasets. * Build, test ... Master's degree in Data Science, Computer Science, Statistics, Mathematics, Bioinformatics ...

Intern Bioinformatics Analyst information

See Raleigh, NC salary details

$11

$21

$40

How much do intern bioinformatics analyst jobs pay per hour?

As of Jun 28, 2026, the average hourly pay for intern bioinformatics analyst in Raleigh, NC is $21.88, according to ZipRecruiter salary data. Most workers in this role earn between $16.83 and $23.85 per hour, depending on experience, location, and employer.

What is the difference between Intern Bioinformatics Analyst vs Intern Data Analyst?

AspectIntern Bioinformatics AnalystIntern Data Analyst
Required CredentialsBasic knowledge of bioinformatics tools, programming (Python, R), and biology fundamentalsBasic understanding of data analysis, Excel, SQL, and statistics
Work EnvironmentResearch labs, biotech companies, healthcare institutionsBusiness, finance, marketing, or healthcare organizations
Employer & Industry UsageBiotech, pharmaceutical, academic researchVarious industries including finance, marketing, healthcare
Common Search & Comparison IntentUnderstanding roles in bioinformatics research internshipsExploring data analysis internship opportunities

The Intern Bioinformatics Analyst typically focuses on biological data, requiring knowledge of bioinformatics tools and biology, often in research or biotech settings. In contrast, the Intern Data Analyst handles broader data sets across industries, emphasizing statistical and data management skills. Both roles serve as entry points into their respective fields, but they differ in industry focus and technical requirements.

What kind of projects and responsibilities can I expect as an Intern Bioinformatics Analyst?

As an Intern Bioinformatics Analyst, you can expect to work on data-driven projects that support ongoing research, such as analyzing genomic or transcriptomic datasets, assisting with data cleaning, and developing scripts for data processing. You will often collaborate closely with research scientists, senior analysts, and software engineers, learning how to interpret biological data and present findings in a clear manner. Your daily tasks may include running bioinformatics pipelines, generating visualizations, and participating in team meetings to discuss project progress. This role offers valuable exposure to both computational methods and biological research in a collaborative, multidisciplinary environment.

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

To thrive as an Intern Bioinformatics Analyst, you need a foundation in biology, statistics, and computer science, often supported by coursework or a degree in bioinformatics or a related field. Familiarity with programming languages like Python or R, experience with bioinformatics tools (e.g., BLAST, Galaxy), and basic data analysis skills are typically required. Strong problem-solving abilities, attention to detail, and effective communication help you interpret results and collaborate with research teams. These skills are crucial for accurately analyzing complex biological data and contributing to scientific discoveries.

What does an Intern Bioinformatics Analyst do?

An Intern Bioinformatics Analyst assists in analyzing biological data using computational tools and techniques. They may help process large datasets, such as DNA or RNA sequences, and interpret results to support research or clinical projects. Typical tasks include data cleaning, running software pipelines, and creating visualizations or reports under the supervision of senior staff. This role provides hands-on experience in both biology and data science within a research or healthcare setting.
What are the most commonly searched types of Bioinformatics Analyst jobs in Raleigh, NC? The most popular types of Bioinformatics Analyst jobs in Raleigh, NC are:
Infographic showing various Intern Bioinformatics Analyst job openings in Raleigh, NC as of June 2026, with employment types broken down into 100% Internship. Highlights an 100% In-person job distribution, with an average salary of $45,502 per year, or $21.9 per hour.
Associate Data Scientist

Associate Data Scientist

Labcorp

Durham, NC • Hybrid

$57K - $57K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago


Labcorp rating

6.6

Company rating: 6.6 out of 10

Based on 1,105 frontline employees who took The Breakroom Quiz

78th of 103 rated laboratories


Job description

Labcorp is a leader in diagnostics, drug development and healthcare innovation. Across every role, we harness data and AI to work smarter, move faster and create breakthrough solutions that improve health outcomes for people. With our global scale and deep expertise, you'll do meaningful work, grow your career and make a real impact. Together, we're improving health and improving lives.


Labcorp is recruiting an Associate Data Scientist.

About the Role

At Labcorp, we believe data is the key to advancing healthcare and improving patient outcomes worldwide. As an Associate Data Scientist, you will join a collaborative team dedicated to solving complex problems using advanced analytics, machine learning, and data-driven insights. This is an exciting opportunity for an early-career data scientist who is eager to learn, grow, and make an immediate impact on real-world healthcare challenges.

Work Schedule:This is a fulltime, exempt (salaried) position assigned to a First Shift schedule, with standard business hours from Monday through Friday, 8:00 a.m. to 5:00 p.m. in your local time zone.Business needs may occasionally require flexibility in work hours, including earlier, later, or additional hours, with reasonable notice provided when possible.

Applicants who live within 35 miles of the Durham or Burlington, NC locations will follow a hybrid schedule. This schedule includes a minimum of three in-office days per week at an assigned location, either Durham or Burlington, supporting both collaboration and flexibility.

Job Responsibilities:
  • Collect, clean, and analyze large and complex healthcare and operational datasets.

  • Build, test, and deploy statistical and machine learning models to support business and scientific initiatives.

  • Work closely with cross-functional teams - including IT, clinical, operations, and business leaders - to translate data into actionable insights.

  • Support the development of data pipelines and workflows that ensure scalable and reproducible analytics.

  • Contribute to data visualization and reporting dashboards for internal and external stakeholders.

  • Document methodologies, analyses, and model results to ensure transparency and reproducibility.

  • Stay current with new tools, technologies, and best practices in data science and healthcare analytics.

Minimum Qualifications:

  • Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Bioinformatics, Information Systems or Information Technology.

  • 6 months or more experience (academic, internship, or professional) programming in Python, R, or SQL

  • 6 months or more experience (academic, internship, or professional) applying machine learning frameworks and libraries such as scikit-learn, TensorFlow, or PyTorch

  • 6 months or more experience (academic, internship, or professional) building data visualizations using tools such as Tableau, Power BI, matplotlib, or seaborn

  • 6 months or more experience (academic, internship, or professional) applying statistical modeling, hypothesis testing, or predictive analytics

Preferred Qualifications:

  • Master's degree in Data Science, Computer Science, Statistics, Mathematics, Bioinformatics, Information Systems or Information Technology.

  • 12 months or more combined experience across two or more of the following: Python, R, or SQL

  • 3 months or more experience working with healthcare, laboratory, or clinical trial data

  • 3 months or more experience working with a cloud platform such as AWS, Azure, or GCP

  • 3 months or more prior experience at Labcorp

Additional Job Standards:

  • Strong problem-solving skills and intellectual curiosity

  • Desire and willingness to learn new tools and techniques

  • Excellent written and verbal communication skills, with the ability to explain technical concepts to non-technical stakeholders

Why Join Us

At Labcorp, you'll be part of a global team that is transforming healthcare through innovation and science. As an Associate Data Scientist, you'll gain hands-on experience, mentorship, and the opportunity to contribute to impactful projects that improve lives around the world.

Benefits:Employees regularly scheduled to work 20 or more hours per week are eligible for comprehensive benefits including: Medical, Dental, Vision, Life, STD/LTD, 401(k), Paid Time Off (PTO) or Flexible Time Off (FTO), Tuition Reimbursement and Employee Stock Purchase Plan.Employees regularly scheduled to work less than 20 hours, Casual, Intern, and Temporary employees are only eligible to participate in the 401(k) Plan.Employees who are regularly scheduled toworka 7 on/7 off schedule are eligible to receive all the foregoing benefits except PTO or FTO. For more detailed information, pleaseclick here.


Labcorp is proud to be an Equal Opportunity Employer:

Labcorp strives for inclusion and belonging in the workforce and does not tolerate harassment or discrimination of any kind. We make employment decisions based on the needs of our business and the qualifications and merit of the individual. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), family or parental status, marital, civil union or domestic partnership status, sexual orientation, gender identity, gender expression, personal appearance, age, veteran status, disability, genetic information, or any other legally protected characteristic. Additionally, all qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law.


We encourage all to apply

If you are an individual with a disability who needs assistance using our online tools to search and apply for jobs, or needs an accommodation, please visit ouraccessibility siteor contact us atLabcorp Accessibility. Formore information about how we collect and store your personal data, please see ourPrivacy Statement.



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