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Bioinformatics Machine Learning Jobs in Washington

BCC-NIH

Staff Scientist

Bethesda, MD

PhD in Computer Science, Computational Biology, Bioinformatics, or a related field * Minimum of 5 years of experience developing and deploying machine learning or deep learning models * Strong ...

BCC-NIH

Staff Scientist

Bethesda, MD · On-site

PhD in Computer Science, Computational Biology, Bioinformatics, or a related field * Minimum of 5 years of experience developing and deploying machine learning or deep learning models * Strong ...

Axle

Data Scientist II

Rockville, MD · On-site

Bioinformatics Workflow and Data Pipeline Development: Design, build, and maintain reproducible ... Statistical Modeling and Machine Learning: Apply statistical and ML methods -- including hypothesis ...

Axle

Data Scientist II

Rockville, MD

Bioinformatics Workflow and Data Pipeline Development: Design, build, and maintain reproducible ... Statistical Modeling and Machine Learning: Apply statistical and ML methods - including hypothesis ...

Axle

Data Scientist II

Rockville, MD · On-site

Bioinformatics Workflow and Data Pipeline Development: Design, build, and maintain reproducible ... Statistical Modeling and Machine Learning: Apply statistical and ML methods - including hypothesis ...

Axle

Data Science Fellow - AI/NLP

Rockville, MD · On-site

PhD in computer science, computational biology, bioinformatics, biomedical informatics, NLP, machine learning, data science, or a related field. * Strong Python programming skills. * Demonstrated ...

Howard

Research Assistant

Washington, DC · On-site

$21.75 - $30/hr

Prepare data dictionaries, codebooks, workflow notes, and reproducibility documentation for internal research use. * Assist with statistical, bioinformatics, or machine-learning preparation tasks ...

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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 Jul 14, 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 job?

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.

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 July 2026, with employment types broken down into 1% Locum Tenens, 51% As Needed, 28% Full Time, 8% Part Time, 10% Nights, and 2% Summer. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $107,001 per year, or $51.4 per hour.

Artificial Intelligence SME

Tunnell Government Services

Washington, DC

Other

Re-posted 18 days ago

Job description

Artificial Intelligence SME
A Subject Matter Expert (SME) in artificial intelligence with a focus on healthcare and biomedical research is needed to provide contracted support to the Biomedical Advanced Research and Development Authority (BARDA), within the U.S. Department of Health and Human Services (HHS) in Washington, DC. The mission of BARDA is to develop and procure medical countermeasures (MCM) that address the public health and medical consequences of chemical, biological, radiological, and nuclear (CBRN) accidents, incidents and attacks, pandemic influenza, and emerging infectious diseases. Specifically, BARDA supports the advanced development and procurement of drugs, vaccines and other products that are considered priorities for national health security. For more information on BARDA please visit their website at: http://www.phe.gov/about/BARDA/Pages/default.aspx
Specifically, this individual will provide strategic, technical, and scientific expertise on the application of artificial intelligence (AI), machine learning (ML), and advanced data analytics to BARDA's mission of developing and procuring medical countermeasures (MCMs) for public health emergencies. The AI SME will advise leadership, program managers, and technical teams on the integration of AI technologies across BARDA's programs, ensuring the agency remains at the forefront of innovation in biodefense, pandemic preparedness, and health security.

Major Duties & Responsibilities:

  • Advise BARDA leadership on emerging trends, opportunities, and risks in AI and related technologies.
  • Provide subject matter expertise to BARDA divisions in evaluating AI-enabled technologies, tools, and proposals.
  • Assess AI approaches used in diagnostics, therapeutics, and vaccines including review of algorithms and algorithm performance
  • Guide the design, implementation, and validation of AI applications to ensure scientific rigor, transparency, and compliance with federal policies.
  • Contribute to the formulation of policies, standards, and ethical frameworks governing AI use within BARDA.
  • Perform expert analysis and provide recommendations for applications of machine learning/artificial intelligence tools and capabilities to field of biotech research and development (e.g. digital health, drug discovery and design, clinical validation).
  • Evaluating diverse data sets for use with AI products/tools, such as EHR, claims, laboratory/clinical data, physiological data, genomic data, viral variant data, and/or social determinants of health data.
  • Advising on improvements to data collection and curation, developing standards, and developing data use and sharing agreements to enable AI applications
  • Advising R&D partnerships developing artificial intelligence products/tools to improve model function, design clinical validation studies, and implement production deployment and maintenance processes.


Requirements:

  • Advanced degree (Ph.D. or M.S) in Computer Science, Data Science, Engineering, Bioinformatics, or a related field
  • Minimum of 8-10 years of experience applying AI/ML in healthcare, biomedical research, or health security contexts
  • Demonstrated expertise in algorithm development, data modeling, and AI governance
  • Demonstrated ability to communicate complex AI concepts to diverse stakeholders
  • Demonstrated experience serving as technical expert and leader in machine learning/artificial intelligence, data analytics, and algorithm development using medical and/or biological data.
  • Demonstrated understanding of software development principles and cloud-based platforms and services relevant to AI development.
  • Expertise in understanding artificial intelligence model function, clinical validation, production deployment, and ongoing maintenance

Must be a US Citizen or Full Green Card holder.

Apply