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Nih Bioinformatics Jobs (NOW HIRING)

Axle

Bioinformatics/Data Scientist

Frederick, MD · On-site

$105K - $120K/yr

Axle is seeking a Bioinformatics/Data Scientist to join our vibrant team at the National Institutes ... The Standardized Organoid Model Center is an NIH-funded initiative dedicated to advancing organoid ...

Axle

Bioinformatics/Data Scientist

Frederick, MD

Axle is seeking a Bioinformatics/Data Scientist to join our vibrant team at the National Institutes ... The Standardized Organoid Model Center is an NIH-funded initiative dedicated to advancing organoid ...

BCC-NIH

Software Developer (C++, Python)

Bethesda, MD · On-site

... Bioinformatics and Big Data to support our work at the National Institutes of Health. This opportunity is full time and onsite at the NIH in Bethesda, MD and/or remote work. We attract the best ...

Axle

Bioinformatics/Data Scientist

Frederick, MD

$105K - $120K/yr

Axle is seeking a Bioinformatics/Data Scientist to join our vibrant team at the National Institutes ... The Standardized Organoid Model Center is an NIH-funded initiative dedicated to advancing organoid ...

IMAGINEEER LLC

Scientific Data Analyst

Arlington, VA · On-site +1

$110K - $115K/yr

Apply computational and bioinformatics methods in support of New Approach Methodologies (NAMs) related research objectives * Maintain and enhance NIH databases and tools through data curation ...

Imagineeer LLC

Scientific Data Analyst

Arlington, VA · On-site

$110K - $115K/yr

Apply computational and bioinformatics methods in support of New Approach Methodologies (NAMs) related research objectives * Maintain and enhance NIH databases and tools through data curation ...

Ariadne

NCBI Data Engineer

Bethesda, MD · On-site +1

$122K - $146K/yr

This opportunity is full time at the NIH in Bethesda, MD and/or remote work. Educational ... Alternatively, equivalent industry experiencein bioinformatics or a related field Required Skills:

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How much do nih bioinformatics jobs pay per year?

As of Jun 11, 2026, the average yearly pay for nih bioinformatics in the United States is $94,474.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,500.00 and $129,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Nih Bioinformatics position, and why are they important?

To thrive as an NIH Bioinformatics professional, you need a strong background in biology, genomics, and computational science, typically supported by a relevant advanced degree. Familiarity with bioinformatics software (such as BLAST, GATK, or R/Bioconductor), programming languages like Python or Perl, and experience with large data sets are crucial. Excellent problem-solving, collaboration, and communication skills set candidates apart in multidisciplinary research environments. These abilities are essential for analyzing complex biological data, contributing to impactful scientific discoveries, and working effectively with cross-functional teams.

What is an NIH Bioinformatics job?

An NIH Bioinformatics job involves using computational tools and techniques to analyze biological data, often in fields like genomics, proteomics, and biomedical research. Professionals in this role work with large datasets to support medical and scientific discoveries, aiding in public health and personalized medicine. These jobs can be research-focused, involving algorithm development, data visualization, and statistical modeling. They are typically found at the National Institutes of Health (NIH) or NIH-funded organizations, supporting projects that advance medical knowledge. Strong programming skills, biological expertise, and experience with bioinformatics tools are often required.

What are the typical daily responsibilities of an NIH Bioinformatics professional?

As an NIH Bioinformatics professional, your daily tasks often include analyzing large-scale genomic or proteomic data, developing and maintaining computational pipelines, and collaborating with biologists and clinicians to interpret research findings. You may regularly write scripts to optimize data processing, curate databases, and generate visualizations or reports for ongoing projects. Close collaboration with diverse research teams is common, requiring adaptability and clear communication. These responsibilities support the NIH's mission to advance biomedical research and drive meaningful, data-driven scientific insights.

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Nih Bioinformatics jobs near you
Infographic showing various Nih Bioinformatics job openings in the United States as of June 2026, with employment types broken down into 3% As Needed, 40% Full Time, 6% Part Time, and 51% Contract. Highlights an 80% Physical, 2% Hybrid, and 18% Remote job distribution, with an average salary of $94,474 per year, or $45.4 per hour.

Bioinformatics/Data Scientist

Axle

Frederick, MD • On-site

$105K - $120K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 21 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)

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.
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Salary Range
$105,000-$120,000 USD

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