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Bioinformatics Engineer Jobs in Raleigh, NC (NOW HIRING)

Master's degree in Computer Science, Statistics, Biostatistics, Bioinformatics, Computational Biology, or a related quantitative field. * Strong programming skills. * Experience with machine learning ...

Post-Doc Trainee

Chapel Hill, NC

$16.50 - $19.75/hr

... bioinformatics, geography, or epidemiology for an NIEHS funded T32 postdoctoral fellowship in Environmental Science and Engineering. The initial appointment period is 1 year with a maximum of 2 years ...

Master's degree in Computer Science, Statistics, Biostatistics, Bioinformatics, Computational Biology, or a related quantitative field. * Strong programming skills. * Experience with machine learning ...

Experience with mouse models, genomics, bioinformatics, or computational analysis is considered an ... engineered mouse models, patient-derived models, organoids, and cell culture systems. * Apply ...

... bioinformatic analyses, oversee XML and Python program development, deploy AI solutions to ... The position will require the technician to provide training and programming support to students ...

AI Solutions Architect (Remote)

Durham, NC · On-site +1

$61 - $80.25/hr

Master's degree or PhD in Computer Science, Bioinformatics, Computational Biology, Data Science, Engineering, ora relatedfield. * Significant experiencedelivering AI, data, analytics, or digital ...

The Department of Biostatistics & Bioinformatics (B&B) at the Duke University School of Medicine ... Strong programming in R and/or Python; best practices in reproducible research * Excellent ...

The Department of Biostatistics & Bioinformatics (B&B) at the Duke University School of Medicine ... Strong programming in R and/or Python; best practices in reproducible research * Excellent ...

The Department of Biostatistics & Bioinformatics (B&B) at the Duke University School of Medicine ... Strong programming in R and Python; best practices in reproducible research * Excellent ...

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Bioinformatics Engineer information

See Raleigh, NC salary details

$41.8K

$127.4K

$231.8K

How much do bioinformatics engineer jobs pay per year?

As of Jul 19, 2026, the average yearly pay for bioinformatics engineer in Raleigh, NC is $127,387.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,300.00 and $152,600.00 per year, depending on experience, location, and employer.

What is a Bioinformatics Engineer?

A Bioinformatics Engineer is a professional who combines expertise in computer science, statistics, and biology to develop software tools and algorithms for analyzing biological data. They often work with large datasets such as genomic sequences, protein structures, and clinical information to help scientists make sense of complex biological systems. Their work is essential in fields like genomics, personalized medicine, and drug discovery, where managing and interpreting vast amounts of data is crucial. Bioinformatics Engineers may also collaborate with researchers to design experiments and interpret results, bridging the gap between biology and technology.

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

To thrive as a Bioinformatics Engineer, you need a strong background in biology, computer science, and statistics, often supported by a degree in bioinformatics or a related field. Experience with programming languages such as Python or R, familiarity with databases, and knowledge of tools like BLAST, Bioconductor, or next-generation sequencing (NGS) analysis platforms are typically required. Strong problem-solving, analytical thinking, and effective communication skills help you collaborate with interdisciplinary teams and convey complex findings. These skills and qualifications are essential for efficiently analyzing biological data, developing robust computational tools, and advancing research in genomics and life sciences.

What Is Bioinformatics Engineering?

A bioinformatics engineer uses various methods for the analysis of complex biological data such as gene sequence and protein absorption. In this career, your job duties include performing detailed data analysis, developing data queries, and presenting your results back to the research team. The qualifications needed for a career as a bioinformatics engineer include a bachelor’s degree in engineering, statistics, computer science, or mathematics. Some employers prefer a master’s degree as well. You also need strong analytical skills and a good understanding of the biosciences.

What are some common challenges faced by Bioinformatics Engineers when integrating new data sources into existing pipelines?

Bioinformatics Engineers often encounter challenges such as data format inconsistencies, varying quality of datasets, and the need to ensure compatibility with existing analysis pipelines. Integrating new data sources may require custom scripts or tools for parsing and preprocessing, as well as thorough validation to maintain reproducibility and reliability of results. Collaboration with wet-lab scientists and software engineers is essential to clarify data requirements and streamline the integration process.

What is the difference between Bioinformatics Engineer vs Bioinformatics Analyst?

AspectBioinformatics EngineerBioinformatics Analyst
Required CredentialsBachelor's or Master's in Bioinformatics, Computer Science, or related fields; programming skillsBachelor's or Master's in Bioinformatics, Biology, or related fields; data analysis skills
Work EnvironmentResearch labs, biotech companies, pharmaceutical firmsResearch institutions, healthcare organizations, biotech companies
Employer & Industry UsageDevelops tools, pipelines, and software for biological data analysisInterprets data, performs statistical analysis, and reports findings

While both roles require a background in bioinformatics and involve working with biological data, Bioinformatics Engineers focus on developing software and tools, whereas Bioinformatics Analysts primarily analyze and interpret data to support research and decision-making.

What are the most commonly searched types of Bioinformatics Engineer jobs in Raleigh, NC? The most popular types of Bioinformatics Engineer jobs in Raleigh, NC are:
Infographic showing various Bioinformatics Engineer job openings in Raleigh, NC as of July 2026, with employment types broken down into 86% Full Time, and 14% Part Time. Highlights an 71% In-person, and 29% Remote job distribution, with an average salary of $127,387 per year, or $61.2 per hour.
Associate in Research

Other

Posted 22 days ago


Duke University rating

6.7

Company rating: 6.7 out of 10

Based on 55 frontline employees who took The Breakroom Quiz

436th of 555 rated colleges and universities


Job description

School of Medicine Established in 1930, Duke University School of Medicine is the youngest of the nation's top medical schools. Ranked sixth among medical schools in the nation, the School takes pride in being an inclusive community of outstanding learners, investigators, clinicians, and staff where interdisciplinary collaboration is embraced and great ideas accelerate translation of fundamental scientific discoveries to improve human health locally and around the globe. Composed of more than 2,500 faculty physicians and researchers, more than 1,300 students, and more than 6,000 staff, the Duke University School of Medicine along with the Duke University School of Nursing, Duke University Health System and the Private Diagnostic Clinic (PDC) comprise Duke Health. a world-class academic medical center. The Health System encompasses Duke University Hospital, Duke Regional Hospital, Duke Raleigh Hospital, Duke Primary Care, Duke Home and Hospice, Duke Health and Wellness, and multiple affiliations.

Be You

The Department of Biostatistics and Bioinformatics at Duke University School of Medicine is seeking an Associate in Research to join an interdisciplinary research group developing advanced machine learning and transformer-based models for large-scale biological data.

In this role, you will work closely with the Principal Investigator Dr. Wenpin Hou and her research team to develop computational models that analyze single-cell multi-omics and perturbation datasets. Your work will contribute to cutting-edge projects at the intersection of artificial intelligence, genomics, and biomedical discovery.

You will help design and implement machine learning models, maintain computational pipelines, and analyze complex biological datasets using high-performance computing environments. This position offers the opportunity to contribute directly to grant-funded research projects, scientific publications, and new computational tools for the biomedical research community.

Minimum Requirements

  • Master's degree in Computer Science, Statistics, Biostatistics, Bioinformatics, Computational Biology, or a related quantitative field.
  • Strong programming skills.
  • Experience with machine learning frameworks such as PyTorch or TensorFlow.
  • Experience working with large-scale datasets and computational workflows.

Preferred Qualifications

  • Experience with transformer models or foundation models.
  • Experience analyzing single-cell or other high-dimensional biological datasets.
  • Familiarity with GPU computing and high-performance computing (HPC) environments.

Other Requirements

  • Ability to work collaboratively with researchers across computational and biomedical disciplines.
  • Strong organizational and documentation skills to support reproducible research workflows.
  • This position is hybrid eligible. The employee must reside in a Duke University-approved state.

Be Bold

Key responsibilities include:

  • Develop and implement transformer-based and deep learning models for large-scale biological datasets.
  • Process, curate, and analyze single-cell and multi-omics datasets, including perturbation data.
  • Maintain and optimize computational pipelines and model training workflows in HPC environments.
  • Collaborate with the PI, postdoctoral fellows, and students to advance research objectives and project milestones.
  • Support reproducible research, including workflow documentation, manuscript preparation, and grant-related deliverables.

Choose Duke

The Department of Biostatistics and Bioinformatics at Duke University School of Medicine is a globally recognized leader in biostatistics, data science, and AI-driven biomedical research. Our faculty collaborate widely across Duke's medical and data science communities to develop innovative computational methods that advance precision medicine and biological discovery.

By joining our team, you will work on cutting-edge AI and genomics research, collaborate with a diverse group of scientists and trainees, and contribute to impactful projects that translate computational advances into real-world biomedical insights.


Duke is an Equal Opportunity Employer committed to providing employment opportunity without regard to an individual's age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex (including pregnancy and pregnancy related conditions), sexual orientation or military status.


Duke aspires to create a community built on collaboration, innovation, creativity, and belonging. Our collective success depends on the robust exchange of ideas-an exchange that is best when the rich diversity of our perspectives, backgrounds, and experiences flourishes. To achieve this exchange, it is essential that all members of the community feel secure and welcome, that the contributions of all individuals are respected, and that all voices are heard. All members of our community have a responsibility to uphold these values.


Essential Physical Job Functions:

Certain jobs at Duke University and Duke University Health System may include essential job functions that require specific physical and/or mental abilities. Additional information and provision for requests for reasonable accommodation will be provided by each hiring department.



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About Duke University

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Duke is regarded as one of America's leading research universities. Located in Durham, North Carolina, Duke is positioned in the heart of the Research Triangle, which is ranked annually as one of the best places in the country to work and live. Duke has more than 15,000 students who study and conduct research in its 10 undergraduate, graduate, and professional schools. With about 40,000 employees, Duke is the third largest private employer in North Carolina, and it now has international programs in more than 150 countries.

Industry

Colleges, universities, and professional schools and hospitals

Company size

10,000+ Employees

Headquarters location

Durham, NC, US