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Bioinformatics Data Engineer Jobs (NOW HIRING)

Axle

Bioinformatics/Data Scientist

Frederick, MD

With experts in biomedical science, software engineering, and program management, we focus on ... Axle is seeking a Bioinformatics/Data Scientist to join our vibrant team at the National Institutes ...

Axle

Bioinformatics/Data Scientist

Frederick, MD · On-site

With experts in biomedical science, software engineering, and program management, we focus on ... Axle is seeking a Bioinformatics/Data Scientist to join our vibrant team at the National Institutes ...

Axle

Bioinformatics/Data Scientist

Frederick, MD · On-site

With experts in biomedical science, software engineering, and program management, we focus on ... Axle is seeking a Bioinformatics/Data Scientist to join our vibrant team at the National Institutes ...

Axle

Bioinformatics Engineer

Rockville, MD

Axle is seeking a Bioinformatics Engineer to join our vibrant team at the National Institutes of ... Optimize data input/output operations across pipeline modules to minimize bottlenecks and reduce ...

Axle

Bioinformatics Engineer

Rockville, MD

Axle is seeking a Bioinformatics Engineer to join our vibrant team at the National Institutes of ... Optimize data input/output operations across pipeline modules to minimize bottlenecks and reduce ...

Axle

Bioinformatics Engineer

Rockville, MD · On-site

Axle is seeking a Bioinformatics Engineer to join our vibrant team at the National Institutes of ... Optimize data input/output operations across pipeline modules to minimize bottlenecks and reduce ...

Axle

Bioinformatics Scientist

Bethesda, MD · On-site

What programming languages are you comfortable using for bioinformatics data analysis? * What bioinformatics areas are you familiar with? (e.g., single cell, bulk genomics, transcriptomics ...

Axle

Bioinformatics Scientist

Bethesda, MD

What programming languages are you comfortable using for bioinformatics data analysis? * What bioinformatics areas are you familiar with? (e.g., single cell, bulk genomics, transcriptomics ...

Axle

Bioinformatics Scientist

Bethesda, MD

What programming languages are you comfortable using for bioinformatics data analysis? * What bioinformatics areas are you familiar with? (e.g., single cell, bulk genomics, transcriptomics ...

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Bioinformatics Data Engineer information

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$43K

$131.1K

$238.5K

How much do bioinformatics data engineer jobs pay per year?

As of Aug 4, 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 does a bioinformatics data engineer do?

A bioinformatics data engineer designs, develops, and maintains data pipelines and infrastructure to process large biological datasets. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, accurate, and efficiently managed for research and analysis purposes.

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 2% Locum Tenens, 59% As Needed, 13% Full Time, 2% Part Time, and 24% Nights. Highlights an 80% Physical, 3% Hybrid, and 17% Remote job distribution, with an average salary of $131,053 per year, or $63 per hour.

Bioinformatics/Data Scientist

Axle

Frederick, MD

Full-time

Re-posted 15 days ago

Job description

(ID: 2025-0696)


Axle is a bioscience and information technology company that offers advancements in translational research, biomedical informatics, and data science applications to research centers and healthcare organizations nationally and abroad. With experts in biomedical science, software engineering, and program management, we focus on developing and applying research tools and techniques to empower decision-making and accelerate research discoveries. We work with some of the top research organizations and facilities in the country including multiple institutes at the National Institutes of Health (NIH).

Axle is seeking a Bioinformatics/Data Scientist to join our vibrant team at the National Institutes of Health (NIH) supporting the Standardized Organoid Model Center in Frederick, MD. The Standardized Organoid Model Center is an NIH-funded initiative dedicated to advancing organoid research through the development of validated, reproducible, and well-characterized organoid models. The center brings together interdisciplinary teams of researchers to establish standardized protocols, develop quality control measures, and create resources that will benefit the broader organoid research community.

Benefits We Offer:

  • 100% Medical, Dental & Vision Coverage for Employees
  • Paid Time Off and Paid Holidays
  • 401K match up to 5%
  • Educational Benefits for Career Growth
  • Employee Referral Bonus
  • Flexible Spending Accounts:
    • Healthcare (FSA)
    • Parking Reimbursement Account (PRK)
    • Dependent Care Assistant Program (DCAP)
    • Transportation Reimbursement Account (TRN)

Cover Letter Required — Please Answer the Following Questions and Submit Application at: Bioinformatics/Data Scientist
To be considered for this position, please upload a document as your Cover Letter that answers the six questions below. Applications submitted without this document will not be considered.

  1. What experience do you have working with large datasets and compute clusters?
  2. Describe your experience building workflows/pipelines and/or using bioinformatics software and tools to analyze data.
  3. What programming languages are you comfortable using for bioinformatics data analysis?
  4. What bioinformatics areas are you familiar with? (e.g., single cell, bulk genomics, transcriptomics, epigenetics, flow, spatial, metagenomics, etc.)
  5. What life science disciplines do you have experience in? (e.g., immunology, infectious disease, cancer research, etc.)
  6. Provide examples of basic machine learning/AI concepts and/or how you've applied them in bioinformatics data analysis.

Overview

The Bioinformatics/Data Scientist will conduct comprehensive analyses of multi-omics data generated from organoid systems and corresponding normal tissues. This position is central to the SOM Center's research objectives, focusing on characterizing organoid fidelity, identifying biomarkers of successful differentiation, and developing computational frameworks for organoid quality assessment.

Responsibilities

  • The successful candidate will analyze complex datasets including single-cell RNA sequencing, bulk RNA sequencing, proteomics, and metabolomics data from various organoid systems and their tissue counterparts.
  • The position will develop and implement computational pipelines for data processing, quality control, and statistical analysis.
  • A major component of the role involves integrating SOM-generated data with publicly available datasets to benchmark organoid characteristics against normal tissue profiles.
  • The position requires close collaboration with experimental teams to interpret results and guide protocol optimization, as well as contributing to manuscript preparation and presenting findings at scientific conferences.

Required Qualifications

  • Candidates must hold a PhD in bioinformatics, computational biology, biostatistics, or a related quantitative field.
  • Extensive experience with single-cell data analysis, including familiarity with tools such as Seurat, Scanpy, or similar platforms, is essential.
  • Strong programming skills in R and Python are required, along with experience in statistical analysis and data visualization.
  • Knowledge of proteomics and metabolomics data analysis workflows is necessary.

Preferred Qualifications

  • Previous experience analyzing organoid datasets is strongly preferred.
  • Experience with machine learning approaches for biological data, familiarity with pathway analysis tools, and knowledge of developmental biology principles will be considered valuable assets.
  • Experience with high-performance computing environments and version control systems is desirable.

Disclaimer: The above description is meant to illustrate the general nature of work and level of effort being performed by individuals assigned to this position or job description. This is not restricted as a complete list of all skills, responsibilities, duties, and/or assignments required. Individuals may be required to perform duties outside of their position, job description or responsibilities as needed.

The diversity of Axle's employees is a tremendous asset. We are firmly committed to providing equal opportunity in all aspects of employment and will not tolerate any illegal discrimination or harassment based on age, race, gender, religion, national origin, disability, marital status, covered veteran status, sexual orientation, status with respect to public assistance, and other characteristics protected under state, federal, or local law and to deter those who aid, abet, or induce discrimination or coerce others to discriminate.

Accessibility: If you need an accommodation as part of the employment process please contact: careers@axleinfo.com

This role has a market-competitive salary with an anticipated base compensation range listed below. Actual salaries will vary depending on a candidate's experience, qualifications, skills, and location.

#INDPSD #IND

Salary Range
$105,000—$120,000 USD