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Bioinformatics Machine Learning Jobs in Washington

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

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 Scientist

Bethesda, MD · On-site

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 ...

Axle

Bioinformatics Scientist

Bethesda, MD

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 ...

Axle

Bioinformatics Scientist

Bethesda, MD

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 ...

N4 Solutions, LLC

Data Scientist

Bethesda, MD · On-site

... Bioinformatics, Biology, or related discipline. · Minimum 3-5 years of relevant experience in machine learning, artificial intelligence, data science, or predictive analytics. · Demonstrated ...

N4 Solutions

Data Scientist

Bethesda, MD · On-site

... Bioinformatics, Biology, or related discipline. * Minimum 3-5 years of relevant experience in machine learning, artificial intelligence, data science, or predictive analytics. * Demonstrated ...

N4 Solutions, LLC

Data Scientist

Bethesda, MD · On-site

... Bioinformatics, Biology, or related discipline. • Minimum 3-5 years of relevant experience in machine learning, artificial intelligence, data science, or predictive analytics. • Demonstrated ...

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All JobsBioinformatics Machine Learning JobsBioinformatics Machine Learning Jobs in Washington

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.
Bioinformatics Engineer

Bioinformatics Engineer

Axle

Rockville, MD • On-site

Full-time

Posted 21 days ago

Job description

Job Summary:
Axle is a bioscience and information technology company that offers advancements in translational research, biomedical informatics, and data science applications. They are seeking a Bioinformatics Engineer to join their team supporting major pharmaceutical clients, focusing on optimizing and integrating bioinformatics workflows for high-throughput sequencing analysis.
Responsibilities:
• Evaluate existing bioinformatics pipelines for performance, accuracy, and maintainability, identifying opportunities for optimization and enhancement
• Develop, extend, and maintain Nextflow workflows for bulk RNA-seq, single-cell RNA-seq, DNA variant calling, methylation analysis, and emerging assay types
• Architect scalable solutions capable of processing thousands of samples efficiently on Google Cloud Platform
• Optimize data input/output operations across pipeline modules to minimize bottlenecks and reduce computational costs
• Prepare and structure analysis outputs for visualization platforms and downstream statistical or machine learning applications
• Implement best practices for workflow versioning, containerization, testing, and documentation
• Collaborate with computational biologists, data scientists, and software engineers to integrate pipelines into broader analytical ecosystems
• Stay current with advances in sequencing technologies and analytical methods, evaluating and incorporating new tools as appropriate
Qualifications:
Required:
• Master's degree in bioinformatics, computational biology, computer science, or a related field (or equivalent experience)
• 3+ years of hands-on experience developing and maintaining bioinformatics pipelines in a production environment
• Proficiency with Nextflow (DSL2) and familiarity with workflow management concepts
• Strong experience with RNA-seq analysis (both bulk and single-cell) and DNA sequencing workflows (variant calling, methylation)
• Working knowledge of Google Cloud Platform services (Compute Engine, Cloud Storage, Batch, Life Sciences API, or similar)
• Proficiency in Python and/or R for scripting, data manipulation, and tool development
• Experience with containerization technologies (Docker, Singularity)
• Familiarity with version control systems (Git) and CI/CD practices
• Strong understanding of genomic file formats (FASTQ, BAM, VCF, BED) and common bioinformatics tools (STAR, Salmon, BWA, GATK, Bismark, Cell Ranger, Seurat, Scanpy)
Preferred:
• PhD in a relevant field
• Experience with nf-core pipelines and community standards
• Familiarity with workflow orchestration at scale (Cromwell, AWS Batch, or similar platforms)
• Experience optimizing cloud costs and resource utilization for large-scale genomics workloads
• Knowledge of data visualization tools and frameworks (e.g., R Shiny, Plotly, custom dashboards)
• Experience in pharmaceutical, biotech, or regulated research environments
• Familiarity with FAIR data principles and metadata standards
Company:
At Axle, we are driven by the mission to accelerate discovery and enhance organizational outcomes by revolutionizing operations with our innovative solutions. Founded in 2002, the company is headquartered in Rockville, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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