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Bioinformatics Data Engineer Jobs (NOW HIRING)

Axle

Data Engineer

Rockville, MD · On-site

$116K - $140K/yr

Bachelor's degree in Computer Science, Data Science, Bioinformatics, Biomedical Informatics, Information Systems, Engineering, or a related field, or equivalent practical experience. Proven ...

Axle

Data Engineer

Rockville, MD

$116K - $140K/yr

Bachelor's degree in Computer Science, Data Science, Bioinformatics, Biomedical Informatics, Information Systems, Engineering, or a related field, or equivalent practical experience. Proven ...

Axle

Data Engineer

Rockville, MD

$116K - $140K/yr

Bachelor's degree in Computer Science, Data Science, Bioinformatics, Biomedical Informatics, Information Systems, Engineering, or a related field, or equivalent practical experience. Proven ...

Axle

Bioinformatics Engineer

Rockville, MD · On-site

... and data science applications. They are seeking a Bioinformatics Engineer to join their team ... supporting major pharmaceutical clients, focusing on optimizing and integrating bioinformatics ...

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Bioinformatics Data Engineer information

See salary details

$43K

$131.1K

$238.5K

How much do bioinformatics data engineer jobs pay per year?

As of Jul 15, 2026, the average yearly pay for bioinformatics data engineer in the United States is $131,053.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,000.00 and $157,000.00 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.
More about Bioinformatics Data Engineer jobs
What cities are hiring for Bioinformatics Data Engineer jobs? Cities with the most Bioinformatics Data Engineer job openings:
What states have the most Bioinformatics Data Engineer jobs? States with the most job openings for Bioinformatics Data Engineer jobs include:
What job categories do people searching Bioinformatics Data Engineer jobs look for? The top searched job categories for Bioinformatics Data Engineer jobs are:
Bioinformatics Data Engineer jobs near you
Infographic showing various Bioinformatics Data Engineer job openings in the United States as of July 2026, with employment types broken down into 83% Full Time, and 17% Contract. Highlights an 83% In-person, and 17% Remote job distribution, with an average salary of $131,053 per year, or $63 per hour.

Bioinformatics Engineer

AccuScan Sciences

San Jose, CA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 8 days ago

Job description

As a Bioinformatics Engineer at AccuScan Sciences, you will develop, optimize, and maintain bioinformatics pipelines utilizing AWS infrastructure and Nextflow workflow management systems. Your contributions will directly impact innovative scientific discoveries and product development. You'll collaborate closely with scientists, engineers, and researchers, contributing your technical expertise to streamline processes, maintain automation, and drive our bioinformatics capabilities forward.

Responsibilities:

  • Design, implement, and develop tests and documentation for established robust bioinformatics pipelines.
  • Optimize computational workflows for high-performance execution and reproducible data analysis.
  • Maintain, monitor, and improve pipeline automation to ensure smooth operational workflows.
  • Manage GitHub repositories, oversee version control, and streamline the software release process.
  • Develop and manage infrastructure on AWS to ensure scalability, reliability, and efficiency.
  • Collaborate with cross-functional teams to integrate bioinformatics solutions.
  • Proactively identify opportunities to enhance infrastructure efficiency and security.

Requirements

Qualifications:

    • Bachelor's degree or higher in Bioinformatics, Computational Biology, Computer Science, or a related field. with at least 3+ years of working experience out of college.
    • Experience with bioinformatics workflow development and optimization, particularly using Nextflow.
    • Experience developing software following best practices, including comprehensive testing and clear documentation.
    • Proficiency in scripting languages (Python, Bash) and familiarity with container technologies (Docker, Kubernetes).
    • Hands-on experience with AWS cloud computing services (EC2, S3, Batch, Lambda).
    • Excellent communication and collaborative skills.

Preferred Qualifications:

  •  Familiarity with CI/CD practices.
  • Experience with infrastructure-as-code (Terraform, CloudFormation).

Benefits

  • Health Care Plan (Medical, Dental & Vision)
  • Retirement Plan (401k, IRA)
  • Paid Time Off (Vacation, Sick & Public Holidays)

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