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Freelance Bioinformatics Machine Learning Jobs in Washington, DC

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 ...

Axle

Bioinformatics Engineer

Rockville, MD · On-site

They are seeking a Bioinformatics Engineer to join their team supporting major pharmaceutical ... machine learning applications • Implement best practices for workflow versioning ...

Axle

Bioinformatics Engineer

Rockville, MD

Axle is seeking a Bioinformatics Engineer to join our vibrant team at the National Institutes of ... or machine learning applications * Implement best practices for workflow versioning ...

Axle

Bioinformatics Engineer

Rockville, MD · On-site

Axle is seeking a Bioinformatics Engineer to join our vibrant team at the National Institutes of ... or machine learning applications * Implement best practices for workflow versioning ...

Axle

Bioinformatics Engineer

Rockville, MD

Axle is seeking a Bioinformatics Engineer to join our vibrant team at the National Institutes of ... or machine learning applications * Implement best practices for workflow versioning ...

Axle

Data Science Fellow - AI/NLP

Rockville, MD

Provide examples of basic machine learning/AI concepts and/or how you've applied them in bioinformatics data analysis. Responsibilities * Design and implement AI/NLP methods for biomedical literature ...

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All JobsBioinformatics Machine Learning JobsFreelance Bioinformatics Machine Learning JobsFreelance Bioinformatics Machine Learning Jobs in Washington, DC

Freelance Bioinformatics Machine Learning information

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$10

$35

$59

How much do freelance bioinformatics machine learning jobs pay per hour?

As of Aug 1, 2026, the average hourly pay for freelance bioinformatics machine learning in Washington, DC is $35.39, according to ZipRecruiter salary data. Most workers in this role earn between $13.61 and $57.16 per hour, depending on experience, location, and employer.

What does a Freelance Bioinformatics Machine Learning specialist do?

A Freelance Bioinformatics Machine Learning specialist applies machine learning techniques to analyze biological data, such as genomics, proteomics, and medical records, on a project-by-project basis. They typically work independently with research labs, biotech companies, or healthcare organizations to develop algorithms, build predictive models, and interpret complex biological datasets. Their work helps drive insights in areas like drug discovery, personalized medicine, and disease prediction, often leveraging tools like Python, R, and specialized bioinformatics software. As freelancers, they have the flexibility to choose projects, set their schedules, and work remotely.

What are the key skills and qualifications needed to thrive as a Freelance Bioinformatics Machine Learning Specialist, and why are they important?

To thrive as a Freelance Bioinformatics Machine Learning Specialist, you need a strong background in biology, statistics, and programming (such as Python or R), typically supported by a relevant degree in bioinformatics, computer science, or a related field. Familiarity with bioinformatics tools (e.g., BLAST, Bioconductor), machine learning libraries (scikit-learn, TensorFlow), and experience with cloud computing platforms are highly valuable. Strong problem-solving, communication, and project management skills help distinguish top freelancers in this field. These capabilities are crucial for independently delivering accurate, actionable biological insights to clients and efficiently managing multiple projects.

What are some common challenges freelance bioinformatics machine learning professionals face when working with multiple clients?

Freelance bioinformatics machine learning professionals often encounter challenges such as managing diverse data formats, aligning project expectations, and ensuring data privacy across multiple clients. Each client may have unique datasets, varying levels of documentation, and different computational infrastructure, requiring adaptability and strong communication skills. Balancing multiple deadlines and maintaining clear, consistent reporting are also important to foster trust and long-term collaborations.

What is the difference between Freelance Bioinformatics Machine Learning vs Freelance Data Scientist?

AspectFreelance Bioinformatics Machine LearningFreelance Data Scientist
CredentialsBackground in bioinformatics, biology, or related fields; knowledge of machine learningBackground in statistics, computer science, or related fields; strong programming skills
Work EnvironmentResearch labs, biotech companies, academic projects, freelance consultingVarious industries including finance, tech, healthcare, consulting
Industry UsagePrimarily biotech, healthcare, genomics, pharmaceutical sectorsBroad industry application including finance, marketing, tech, healthcare

Freelance Bioinformatics Machine Learning specialists focus on applying machine learning techniques to biological data, often working within biotech and healthcare sectors. In contrast, Freelance Data Scientists have a broader scope, working across multiple industries with diverse datasets. Both roles require strong analytical skills and programming expertise, but their industry focus and domain knowledge differ significantly.

What are the most commonly searched types of Bioinformatics Machine Learning jobs in Washington, DC? The most popular types of Bioinformatics Machine Learning jobs in Washington, DC are:
What are popular job titles related to Freelance Bioinformatics Machine Learning jobs in Washington, DC? For Freelance Bioinformatics Machine Learning jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Freelance Bioinformatics Machine Learning jobs in Washington, DC look for? The top searched job categories for Freelance Bioinformatics Machine Learning jobs in Washington, DC are:
Freelance Bioinformatics Machine Learning jobs near you
Infographic showing various Freelance Bioinformatics Machine Learning job openings in Washington, DC as of June 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 74% In-person, and 26% Remote job distribution, with an average salary of $73,618 per year, or $35.4 per hour.

Bioinformatics Scientist

Axle

Bethesda, MD • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 4 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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