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Bioinformatics Data Engineer Jobs in Raleigh, NC

Contemporaries

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 ...

Guidehouse

Bioinformatics Scientist

Durham, NC

Conduct data analysis and interpretation on other large data types in a genomic context ... Proficiency in programming languages and tools such as R, Python, MATLAB, Java, and Unix/Linux ...

Guidehouse

Bioinformatics Scientist

Durham, NC · On-site

Conduct data analysis and interpretation on other large data types in a genomic context ... Proficiency in programming languages and tools such as R, Python, MATLAB, Java, and Unix/Linux ...

Labcorp

Associate Data Scientist

Durham, NC · Hybrid

$57K - $57K/yr

... programming in Python, R, or SQL * 6 months or more experience (academic, internship, or ... Master's degree in Data Science, Computer Science, Statistics, Mathematics, Bioinformatics ...

Duke University

POSTDOCTORAL ASSOCIATE

Durham, NC

... Engineering, Data science, Physics, Mathematics, Bioinformatics etc; Candidates with multidisciplinary backgrounds are welcome. Strong skills in computational and data analytical methodology ...

Duke University

POSTDOCTORAL ASSOCIATE

Durham, NC · On-site

... Engineering, Data science, Physics, Mathematics, Bioinformatics etc; Candidates with multidisciplinary backgrounds are welcome. • Strong skills in computational and data analytical methodology ...

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

... for large-scale biological data. In this role, you will work closely with the Principal ... Bioinformatics, Computational Biology, or a related quantitative field. * Strong programming skills.

Duke University

Associate in Research

Durham, NC · On-site

... for large-scale biological data. In this role, you will work closely with the Principal ... Bioinformatics, Computational Biology, or a related quantitative field. * Strong programming skills.

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All JobsBioinformatics Data Engineer JobsBioinformatics Data Engineer Jobs in Raleigh, NC

Bioinformatics Data Engineer information

See Raleigh, NC salary details

$41.8K

$127.4K

$231.8K

How much do bioinformatics data engineer jobs pay per year?

As of Jul 14, 2026, the average yearly pay for bioinformatics data engineer in Raleigh, NC is $127,394.00, 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.

How do Bioinformatics Data Engineers typically collaborate with researchers and other teams in a biomedical organization?

Bioinformatics Data Engineers often work closely with biologists, data scientists, and software engineers to ensure the effective collection, processing, and analysis of complex biological data. They regularly participate in cross-functional meetings to understand research goals, develop data pipelines, and troubleshoot data-related issues. Collaboration is essential, as engineers must translate scientific requirements into technical solutions, provide data access and visualization tools, and support researchers in extracting meaningful insights from large datasets. This teamwork fosters a dynamic environment where communication and adaptability are key.

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

AspectBioinformatics Data 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 EnvironmentData pipelines, database management, software developmentData interpretation, report generation, biological data analysis
Employer & Industry UsageBiotech companies, research labs, pharmaResearch institutions, healthcare, biotech
Common Search & ComparisonFocuses on data infrastructure and pipelinesFocuses on biological data interpretation

The main difference between a Bioinformatics Data Engineer and a Bioinformatics Analyst lies in their focus areas. Data Engineers build and maintain data pipelines and infrastructure, while Analysts interpret biological data to generate insights. Both roles require strong bioinformatics knowledge, but Data Engineers emphasize programming and data management, whereas Analysts focus on biological interpretation and reporting.

What is a Bioinformatics Data Engineer?

A Bioinformatics Data Engineer is a professional who designs, develops, and maintains data infrastructure for managing and analyzing large-scale biological data, such as genomics or proteomics datasets. They build pipelines and tools to process, store, and retrieve complex biological information efficiently. Their work enables researchers and scientists to access and interpret data for discoveries in fields like medicine, genetics, and biotechnology. Often, they collaborate closely with bioinformaticians, data scientists, and software engineers to support research initiatives.

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

To thrive as a Bioinformatics Data Engineer, you need a strong background in computer science, biology, and statistics, often supported by a relevant degree and experience in data engineering. Proficiency with programming languages (such as Python, R, or SQL), bioinformatics tools, cloud platforms, and big data frameworks (like Hadoop or Spark) is typically required. Strong problem-solving, collaboration, and communication skills help you work effectively across interdisciplinary teams and convey complex findings. These skills ensure accurate analysis, efficient data pipeline development, and meaningful insights that advance biological research and healthcare solutions.
What are popular job titles related to Bioinformatics Data Engineer jobs in Raleigh, NC? For Bioinformatics Data Engineer jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Bioinformatics Data Engineer jobs in Raleigh, NC look for? The top searched job categories for Bioinformatics Data Engineer jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Bioinformatics Data Engineer jobs? Cities near Raleigh, NC with the most Bioinformatics Data Engineer job openings:
Bioinformatics Data Engineer jobs near you
Data Engineer

Data Engineer

Contemporaries

Durham, NC • On-site

$57 - $63/hr

Contractor

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 4 days ago

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.