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Bioinformatics Data Engineer Jobs in Atlanta, GA

Bioinformatics Analyst

Atlanta, GA ยท On-site

$95K/yr

E-logic is hiring a Bioinformatics Scientist / Analyst to deliver specialized domain expertise in ... Collaborate with software engineers to refine data visualization, automated reporting, and ...

Bioinformatics Analyst

Atlanta, GA ยท On-site

$95 - $135/hr

E-logic is hiring a Bioinformatics Scientist / Analyst to deliver specialized domain expertise in ... Collaborate with software engineers to refine data visualization, automated reporting, and ...

Bioinformatics Specialist

Atlanta, GA ยท On-site

$69K - $158K/yr

As a data scientist, you can turn these complex data sets into useful information to solve global ... Experience using parallel programming capabilities through workflow tools, including Nextflow, on ...

Bioinformatics Specialist

Atlanta, GA ยท On-site

$69.30 - $158/hr

As a data scientist, you can turn these complex data sets into useful information to solve global ... Experience using parallel programming capabilities through workflow tools, including Nextflow, on ...

New

Strong Python programming skills with experience in bioinformatics data analysis * Familiarity with database design principles and data management * Knowledge of distributed computing and parallel ...

Strong Python programming skills with experience in bioinformatics data analysis * Familiarity with database design principles and data management * Knowledge of distributed computing and parallel ...

Bioinformatician

Atlanta, GA ยท On-site +1

Strong Python programming skills with experience in bioinformatics data analysis * Familiarity with database design principles and data management * Knowledge of distributed computing and parallel ...

Bioinformatician

Atlanta, GA ยท On-site +1

Strong Python programming skills with experience in bioinformatics data analysis * Familiarity with database design principles and data management * Knowledge of distributed computing and parallel ...

... bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ... clinical data sources. * Provide expert insights on structure-activity and structure-property ...

Develop scripts and software for data manipulation, cleaning, analysis, and visualization (using programming languages such as Python, R, BASH, and SQL) * Develop bioinformatics pipelines using ...

Develop scripts and software for data manipulation, cleaning, analysis, and visualization (using programming languages such as Python, R, BASH, and SQL) * Develop bioinformatics pipelines using ...

Develop scripts and software for data manipulation, cleaning, analysis, and visualization (using programming languages such as Python, R, BASH, and SQL) * Develop bioinformatics pipelines using ...

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Bioinformatics Data Engineer information

See Atlanta, GA salary details

$41.4K

$126K

$229.4K

How much do bioinformatics data engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for bioinformatics data engineer in Atlanta, GA is $126,028.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,300.00 and $151,000.00 per year, depending on experience, location, and employer.

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.

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 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 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 are popular job titles related to Bioinformatics Data Engineer jobs in Atlanta, GA?

For Bioinformatics Data Engineer jobs in Atlanta, GA, the most frequently searched job titles are:

What job categories do people searching Bioinformatics Data Engineer jobs in Atlanta, GA look for?

The top searched job categories for Bioinformatics Data Engineer jobs in Atlanta, GA are:

What cities near Atlanta, GA are hiring for Bioinformatics Data Engineer jobs?

Cities near Atlanta, GA with the most Bioinformatics Data Engineer job openings:

Infographic showing various Bioinformatics Data Engineer job openings in Atlanta, GA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 11% Part Time, and 6% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $126,028 per year, or $60.6 per hour.

Bioinformatics Analyst

E Logic

Atlanta, GA โ€ข On-site

$95K/yr

Full-time

Re-posted 11 days ago


Job description

E-logic is hiring a Bioinformatics Scientist / Analyst to deliver specialized domain expertise in molecular epidemiology and viral sequence cluster analysis for Secure HIV-TRACE program from Centers for Disease Control and Prevention (CDC). You will collaborate directly with software engineers to refine analytical algorithms, build automated reporting features, and enhance data visualizations that support national outbreak response strategies.


Key Responsibilities

  • Conduct phylogenetic analysis and molecular sequence data processing to support public health outbreak surveillance.
  • Provide domain expertise on bioinformatics workflows, including integration with specialized analytical tools.
  • Collaborate with software engineers to refine data visualization, automated reporting, and analytical algorithms within the platform.
  • Draft technical reports and provide domain-specific consultation to project teams and public health stakeholders.

Qualifications

  • Advanced background/degree in Bioinformatics, Computational Biology, Epidemiology, or a related field.
  • Hands-on experience with HIV-TRACE, BEAST, TimeTree, or comparable molecular sequence analytical tools.
  • Strong programming skills in Python or R for genomic data processing and statistical analysis.
  • Direct experience analyzing HIV sequence data or viral molecular epidemiology is strongly preferred.


Important Notice:

This role is part of a proposal for Centers for Disease Control and Prevention (CDC). Hiring is contingent upon the selection of the consultant. Selected candidates will be included in the proposal and must authorize the use of their resume for submission.