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Google Bioinformatics Jobs (NOW HIRING)

Axle

Bioinformatics Engineer

Rockville, MD · On-site

They are seeking a Bioinformatics Engineer to join their team supporting major pharmaceutical ... on Google Cloud Platform • Optimize data input/output operations across pipeline modules to ...

Axle

Bioinformatics Engineer

Rockville, MD

Axle is seeking a Bioinformatics Engineer to join our vibrant team at the National Institutes of ... Working knowledge of Google Cloud Platform services (Compute Engine, Cloud Storage, Batch, Life ...

Axle

Bioinformatics Engineer

Rockville, MD

Axle is seeking a Bioinformatics Engineer to join our vibrant team at the National Institutes of ... Working knowledge of Google Cloud Platform services (Compute Engine, Cloud Storage, Batch, Life ...

Axle

Bioinformatics Engineer

Rockville, MD · On-site

Axle is seeking a Bioinformatics Engineer to join our vibrant team at the National Institutes of ... Working knowledge of Google Cloud Platform services (Compute Engine, Cloud Storage, Batch, Life ...

Black Canyon Consulting LLC

Data Engineer

Bethesda, MD · On-site

$122K - $146K/yr

... bioinformatic algorithms and developing cloud-ready tools and pipelines. Responsibilities : • You ... GKE, Google Store, Cloud functions • 5+ years of working with genetic and biological data • ...

Black Canyon Consulting LLC

Data Engineer

Bethesda, MD · On-site

$122K - $146K/yr

... bioinformatic algorithms and developing cloud-ready tools and pipelines. Responsibilities : • You ... GKE, Google Store, Cloud functions • 5+ years of working with genetic and biological data • ...

Addgene

Senior Quality Scientist I

Watertown, MA · On-site

$84K - $92K/yr

Lead NGS-related bioinformatic processes; serve as a technical resource for post-run data ... Familiarity with general computer software, including sequence analysis software, Google Workspace ...

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Google Bioinformatics information

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How much do google bioinformatics jobs pay per year?

As of Aug 3, 2026, the average yearly pay for google bioinformatics in the United States is $94,474.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,500.00 and $129,500.00 per year, depending on experience, location, and employer.

What is a Google Bioinformatics job?

A Google Bioinformatics job involves using computational and statistical techniques to analyze biological data, such as genomics, proteomics, or medical records. Bioinformatics professionals at Google work on algorithms, machine learning models, and scalable data pipelines to support research in healthcare, drug discovery, and genetics. They collaborate with engineers, researchers, and healthcare experts to develop advanced tools for interpreting complex biological datasets. These roles typically require expertise in programming, data science, and life sciences.

What kind of projects or research does the Google Bioinformatics team typically work on?

Google Bioinformatics teams often tackle projects involving large-scale genomic data analysis, development of computational biology pipelines, and creation of tools that support healthcare and life sciences research. You may work on improving algorithms for DNA sequencing, building scalable machine learning models for biomedical data, or collaborating with research partners to advance personalized medicine initiatives. The work environment is interdisciplinary, with team members from diverse scientific and technical backgrounds collaborating closely. Expect opportunities to publish research, contribute to open-source projects, and continually learn from the latest advancements in both bioinformatics and technology.

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

To thrive as a Google Bioinformatics professional, you need a strong background in computational biology, data analysis, and programming languages such as Python or R, typically supported by a degree in bioinformatics, computer science, or a related field. Experience with bioinformatics tools, cloud platforms (especially Google Cloud), and version control systems is highly valued. Strong problem-solving skills, effective cross-functional communication, and the ability to work both independently and collaboratively are essential soft skills. These competencies enable you to efficiently analyze large-scale biological datasets, contribute to high-impact research, and drive innovative solutions in a constantly evolving tech environment.

More about Google Bioinformatics jobs
What cities are hiring for Google Bioinformatics jobs? Cities with the most Google Bioinformatics job openings:
What states have the most Google Bioinformatics jobs? States with the most job openings for Google Bioinformatics jobs include:
What job categories do people searching Google Bioinformatics jobs look for? The top searched job categories for Google Bioinformatics jobs are:
Google Bioinformatics jobs near you
Infographic showing various Google Bioinformatics job openings in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 92% In-person, and 8% Remote job distribution, with an average salary of $94,474 per year, or $45.4 per hour.

Bioinformatics Engineer

Axle

Rockville, MD • On-site

Full-time

Re-posted 11 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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