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Google Genomics Jobs in Washington (NOW HIRING)

Axle

Bioinformatics Engineer

Rockville, MD · On-site

The ideal candidate combines deep expertise in genomics analysis methods with strong software ... Working knowledge of Google Cloud Platform services (Compute Engine, Cloud Storage, Batch, Life ...

Axle

Bioinformatics Engineer

Rockville, MD · On-site

The ideal candidate combines deep expertise in genomics analysis methods with strong software ... Working knowledge of Google Cloud Platform services (Compute Engine, Cloud Storage, Batch, Life ...

Axle

Bioinformatics Engineer

Rockville, MD

The ideal candidate combines deep expertise in genomics analysis methods with strong software ... Working knowledge of Google Cloud Platform services (Compute Engine, Cloud Storage, Batch, Life ...

Axle

Bioinformatics Engineer

Rockville, MD · On-site

... on Google Cloud Platform • Optimize data input/output operations across pipeline modules to ... genomic file formats (FASTQ, BAM, VCF, BED) and common bioinformatics tools (STAR, Salmon, BWA ...

BullFrogAI

Principal Data Scientist

Gaithersburg, MD · On-site

$175K - $215K/yr

Conduct multi-omic analyses such as RNA-seq differential expression, clustering, genomic ... Google Cloud Who Will Thrive Here • Intellectually versatile -- energized by moving across ...

Black Canyon Consulting

Platform Ops Lead

Bethesda, MD · On-site

$56.50 - $77.25/hr

... genomic data, making it one of the 400 top most-visited sites in the world. NCBI has a diverse ... Google Anthos * Understanding of: * Linux internals (system calls, file systems, processes, etc.

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Google Genomics information

See Washington salary details

$33.4K

$75.5K

$134.2K

How much do google genomics jobs pay per year?

As of Jul 30, 2026, the average yearly pay for google genomics in Washington is $75,533.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,600.00 and $84,900.00 per year, depending on experience, location, and employer.

What are the typical responsibilities of someone working in a Google Genomics role?

Professionals in Google Genomics work on developing, optimizing, and maintaining cloud-based tools and pipelines for large-scale genomic data analysis. Daily tasks often include collaborating with researchers, software engineers, and healthcare partners to design solutions that enable efficient genetic data storage, processing, and interpretation. They may also contribute to product development, user support, and technical documentation, ensuring the reliability and scalability of genomics platforms. This role combines technical innovation with collaborative problem-solving to advance research in genomics and healthcare.

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

To thrive in a Google Genomics role, a deep background in computational biology, bioinformatics, and data science—often supported by advanced degrees—is essential. Familiarity with cloud computing platforms (especially Google Cloud), programming languages like Python or R, and genomic data analysis tools is highly valued. Strong analytical thinking, problem-solving skills, and the ability to collaborate across multidisciplinary teams are important soft skills. These qualifications enable professionals to handle large-scale genomic data projects effectively and drive innovation in precision medicine and life sciences research.

What is a Google Genomics job?

A Google Genomics job typically involves working on cloud-based tools and services that enable large-scale genomic data analysis. Employees in this field collaborate with researchers, bioinformaticians, and data scientists to develop scalable solutions for processing, storing, and analyzing genomic data. These roles may require expertise in bioinformatics, machine learning, cloud computing, and large-scale data management. By leveraging Google's AI and cloud technologies, Google Genomics aims to advance precision medicine and genomics research.

What are popular job titles related to Google Genomics jobs in Washington? For Google Genomics jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Google Genomics jobs in Washington look for? The top searched job categories for Google Genomics jobs in Washington are:
Google Genomics jobs near you
Infographic showing various Google Genomics job openings in Washington as of July 2026, with employment types broken down into 90% Full Time, 6% Part Time, 1% Temporary, and 3% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $75,533 per year, or $36.3 per hour.

Bioinformatics Engineer

Axle

Rockville, MD • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 8 days ago

Job description

(ID: 2026-2391)
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 Engineer to join our vibrant team at the National Institutes of Health (NIH) supporting the Rockville, MD.
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 skilled Bioinformatics Engineer to join our team supporting major pharmaceutical clients. In this role, you will review, assess, optimize, integrate, and extend production-grade bioinformatics workflows for high-throughput sequencing analysis. The ideal candidate combines deep expertise in genomics analysis methods with strong software engineering practices and cloud computing experience.
Key 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

Required Qualifications
  • 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 Qualifications
  • 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

What We Offer
  • Opportunity to work on cutting-edge genomics projects with industry-leading pharmaceutical partners
  • Collaborative environment with experts in bioinformatics, data science, and software engineering
  • Professional development and growth opportunities
  • Competitive salary and benefits package

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
$125,000-$150,000 USD

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