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Bioinformatics Machine Learning Jobs in Washington

Axle

Bioinformatics Scientist

Bethesda, MD · On-site

Provide examples of basic machine learning/AI concepts and/or how you've applied them in bioinformatics data analysis. Responsibilities: * Address bioinformatics, scientific computing, and data ...

Axle

Bioinformatics Scientist

Bethesda, MD

Provide examples of basic machine learning/AI concepts and/or how you've applied them in bioinformatics data analysis. Responsibilities: * Address bioinformatics, scientific computing, and data ...

Axle

Bioinformatics Scientist

Bethesda, MD

Provide examples of basic machine learning/AI concepts and/or how you've applied them in bioinformatics data analysis. Responsibilities: * Address bioinformatics, scientific computing, and data ...

Aitopics

Senior Data Scientist

Springfield, VA · On-site

$117 - $195/hr

Bioinformatics * Data Engineering * Algorithm Development * Documentation * Cloud Computing * Data Mining * Database Design * Explainable AI * Machine Learning * Bayesian Modeling * Data Processing

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Bioinformatics Machine Learning information

See Washington salary details

$67.4K

$107K

$169.3K

How much do bioinformatics machine learning jobs pay per year?

As of Aug 23, 2026, the average yearly pay for bioinformatics machine learning in Washington is $107,001.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,400.00 and $146,700.00 per year, depending on experience, location, and employer.

What is a bioinformatics machine learning?

A Bioinformatics Machine Learning job involves applying machine learning techniques to analyze and interpret biological data, such as genomics, proteomics, and medical records. Professionals in this field develop algorithms, build predictive models, and enhance data-driven research in areas like personalized medicine and drug discovery. They work with large datasets, applying deep learning, neural networks, and other AI methods to extract meaningful insights. The role requires expertise in biology, statistics, and programming languages like Python or R.

What are the typical daily responsibilities for someone in a bioinformatics machine learning position?

In a Bioinformatics Machine Learning role, your daily tasks usually involve developing and tuning machine learning models to analyze large biological datasets, such as genomics or proteomics data. You'll collaborate closely with researchers, biologists, and data scientists to understand project goals, interpret results, and refine analytical approaches. Routine work includes coding, troubleshooting algorithms, visualizing data outputs, and documenting findings for internal teams or publication. The role often requires balancing independent analysis with teamwork and regular communication across disciplines, making it both technically challenging and highly collaborative.

What are the key skills and qualifications needed to thrive in the bioinformatics machine learning position, and why are they important?

A successful Bioinformatics Machine Learning professional needs a solid background in biology, statistics, and computer science, often backed by an advanced degree such as a Master's or PhD in bioinformatics, data science, or a related field. Proficiency with programming languages like Python or R, experience with machine learning libraries (e.g., TensorFlow, scikit-learn), and knowledge of version control systems are typical requirements, and relevant certifications can be beneficial. Strong problem-solving abilities, effective communication skills, and the capacity to work collaboratively in interdisciplinary teams set candidates apart. These skills are crucial for designing robust computational models, interpreting complex biological data, and translating findings into actionable insights in research or clinical settings.

Do bioinformatics machine learning professionals make a lot of money?

Bioinformatics machine learning professionals often earn competitive salaries due to the specialized skills in data analysis, programming, and biological sciences. Salaries vary based on experience, education, and location, but professionals in this field typically have higher earning potential compared to many other biotech roles. Advanced knowledge of tools like Python, R, and machine learning frameworks can also influence compensation levels.

What are the most commonly searched types of Bioinformatics Machine Learning jobs in Washington?

The most popular types of Bioinformatics Machine Learning jobs in Washington are:

What are popular job titles related to Bioinformatics Machine Learning jobs in Washington?

For Bioinformatics Machine Learning jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Bioinformatics Machine Learning jobs in Washington look for?

The top searched job categories for Bioinformatics Machine Learning jobs in Washington are:

Bioinformatics Machine Learning jobs near you
Infographic showing various Bioinformatics Machine Learning job openings in Washington as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $107,001 per year, or $51.4 per hour.

Bioinformatics Scientist

Axle

Bethesda, MD • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 26 days ago

Job description

(ID: 2026-1976)
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).
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)

Axle is seeking a highly ambitious, adaptable, structured, and detail-oriented Bioinformatics Scientist to join our vibrant team at the National Institutes of Health (NIH), National Institute of Allergy and Infectious Diseases (NIAID), Division of Intramural Research (DIR), Research Technologies Branch (RTB), Integrated Data Sciences Section (IDSS) in Bethesda, MD.
Cover Letter Required - Please Answer the Following Questions and submit application at: Bioinformatics 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.

Responsibilities:
  • Address bioinformatics, scientific computing, and data analysis needs of users within the Division of Intramural Research (DIR) at NIAID and their collaborators by lending expertise in the proper statistical design of biological experiments involving high-throughput genome-scale technologies, data mining and knowledge discovery techniques, automated workflow development, statistical and scientific experimental design consulting.
  • Provide bioinformatics support to include somatic and germline variant calling and analysis, single-cell and bulk gene expression analysis, de novo assembly of genomes and transcriptomes, comparative genomics of model and non-model organisms, proteomics, ChIP-seq, ATAC-seq, and the development of high-throughput pipelines for the analysis of the above data modalities.
  • Provide programming and troubleshooting support to the Research Technologies Branch (RTB) of the National Institute of Allergy and Infectious Diseases (NIAID) and collaborating Institutes in the dissemination of research data.
  • Perform computational data analysis on genomic and clinical research data.
  • Work with staff on scientific programming and experimental design. Provide statistical support/analysis on research data.
  • Contribute to and co-author scientific publications in leading peer-reviewed journals.
  • Contribute to the development of a scalable and flexible resource to provide NGS bioinformatics, structural biological and computational, machine learning data support to NIAID scientists and investigators.
  • It is expected that the bioinformatics scientist will need strong skills in the following:
    • NGS analysis (whole-exome, whole-genome, RNA-seq, ChIP-Seq, both long- and short-read technologies, etc.)
    • Statistical modeling
    • Scripting
    • Biological interpretation

Specific Qualifications:
  • Ability to obtain and maintain a Public Trust Security clearance
  • Minimum Bachelor's degree in related field, Master's or Ph.D. preferred
  • 4+ years of experience in bioinformatics
  • 2+ years of experience developing and maintaining production bioinformatics pipelines
  • Expert in two (2) of the following languages: Python, R, C/C++, sh/bash
  • Experience building images using one (1) of the following: Docker, Podman, Singularity/Apptainer
  • Expert in one (1) pipeline framework: Snakemake, Nextflow, CWL/WDL
  • Expertise building technical and user documentation for tools, pipelines, and applications
  • Experience building pipelines locally on-premise using available HPC infrastructure
  • Experience building pipelines/applications in the Cloud with AWS/GCP/Azure is a plus
  • Experience building applications using one (1) of the following frameworks is a plus: Django, Flask, RShiny, Electron, Flutter, React
  • Experience working in a laboratory setting is a plus but not required

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.
Salary Range
$120,000-$130,000 USD

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