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Bioinformatics Engineer Jobs in Raleigh, NC (NOW HIRING)

Contemporaries

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Data Engineer

Durham, NC · On-site

$57 - $63/hr

Bachelor's degree in Computer Science, Data Engineering, Data Science, Bioinformatics, Statistics, Environmental Science, or a related field. * Minimum of three (3) years of professional experience ...

Duke University

POSTDOCTORAL ASSOCIATE

Durham, NC · On-site

She is faculty in the Department of Neurosurgery and in the Department of Biostatistics and Bioinformatics, affiliated with Departments of Biomedical Engineering and Cell Biology, Duke Cancer ...

MyGradJob

Postdoctoral

Chapel Hill, NC

$41K - $56K/yr

The ideal candidate will have significant expertise in bioinformatics and cheminformatics, working knowledge of multivariate statistical and data mining techniques, and strong programming skills.

Duke University

Associate in Research

Durham, NC · On-site

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

Duke University

Associate in Research

Durham, NC · On-site

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

NCSU

Temporary Technology Support Technician

Raleigh, NC

$32K - $41K/yr

... 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 ...

Labcorp

Associate Data Scientist

Durham, NC · Hybrid

$57K - $57K/yr

... 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 ...

New

Labcorp

Associate Data Scientist

Durham, NC · On-site

$57K - $57K/yr

... 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 ...

Duke University

Postdoctoral Associate

Durham, NC · On-site

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 ...

Duke University

Postdoctoral Associate

Durham, NC · On-site

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 ...

Duke University

POSTDOCTORAL ASSOCIATE

Durham, NC

... Engineering, and Pathology. The Ostrom lab is focused on understanding genetic and other factors ... D. in computational biology, bioinformatics, computer science, statistics, genetic epidemiology, or ...

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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 Jun 28, 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.

More about Bioinformatics Engineer jobs
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:
What are popular job titles related to Bioinformatics Engineer jobs in Raleigh, NC? For Bioinformatics Engineer jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Bioinformatics Engineer jobs in Raleigh, NC look for? The top searched job categories for Bioinformatics Engineer jobs in Raleigh, NC are:
Bioinformatics Engineer jobs near you
Infographic showing various Bioinformatics Engineer job openings in Raleigh, NC as of June 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.
Data Engineer

Data Engineer

Contemporaries

Durham, NC • On-site

$57 - $63/hr

Contractor

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 days ago

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Job description

Contemporaries Inc. is supporting the National Institute of Environmental Health Sciences (NIEHS) in the recruitment of a Data Engineer to support environmental health and extreme weather research initiatives. This long-term contract opportunity offers remote work flexibility and will focus on developing and optimizing data infrastructure that supports scientific modeling, geospatial analytics, and computational research workflows.


Position Responsibilities:

  • Design and implement optimized database structures to support scientific modeling workflows.
  • Develop and maintain data schemas that ensure efficient querying and storage for large-scale scientific datasets.
  • Develop and enhance PTB, CHORDS, and HEW geospatial database management capabilities.
  • Work with geospatial datasets and data formats such as NetCDF, GeoTIFF, HDF5, and other environmental data standards.
  • Build, document, and maintain end-to-end model pipelines using reproducibility and version control standards.
  • Develop workflows utilizing R-based Targets and Python-based Snakemake frameworks.
  • Implement automated testing frameworks and validation protocols to ensure pipeline reliability and consistency.
  • Develop and test protocols for GPU-accelerated execution of R- and Python-based models.
  • Create documentation and best practices related to GPU resource allocation and performance monitoring.
  • Design, develop, and deploy Shiny applications for real-time data exploration and model output visualization.
  • Ensure visualization applications are user-friendly, performant, and integrated with existing data infrastructure.
  • Optimize R-based models through parallelization, vectorization, and algorithmic improvements.
  • Configure and optimize workflows within high-performance computing environments, including job scheduling and resource management.
  • Port performance-critical components to compiled languages such as C++ or Rust when appropriate.
  • Collaborate with scientific teams to provide technical guidance and support environmental health research initiatives.


Required Qualifications

  • Bachelor's degree in Computer Science, Data Engineering, Data Science, Bioinformatics, Statistics, Environmental Science, or a related field.
  • Minimum of three (3) years of professional experience in data engineering, software engineering, computational research support, or a related field.
  • Strong experience using the R programming language.
  • Experience designing and maintaining database structures supporting large-scale datasets.
  • Experience developing reproducible data pipelines and workflows.
  • Experience with shell scripting, including Bash.
  • Experience working in Linux-based computing environments.
  • Experience with batch job scripting and scheduling tools such as SLURM.
  • Experience developing interactive applications using Shiny.
  • Strong analytical, problem-solving, and technical communication skills.


Preferred Qualifications

  • Experience working with geospatial or environmental datasets.
  • Familiarity with geospatial data formats such as NetCDF, GeoTIFF, and HDF5.
  • Experience using Python for workflow development or automation.
  • Experience utilizing Snakemake, Targets, or similar pipeline orchestration frameworks.
  • Experience supporting high-performance computing environments and GPU-enabled workflows.
  • Experience optimizing code through parallelization, vectorization, or compiled languages such as C++ or Rust.
  • Experience supporting environmental health, climate, or extreme weather research initiatives.
  • Experience supporting NIH, HHS, or other federally funded scientific research programs.
  • Experience contributing to technical documentation, scientific publications, or collaborative research efforts.

Company Description

Contemporaries is a government contracting firm who has been providing HR and Staff support to both federal and private organizations for over 35 years. Specializing in Administrative and related opportunities, while also working with Scientific, IT, Legal, Research, and related opportunities.