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Google Bioinformatics Jobs (NOW HIRING)

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

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 · 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 ...

University of Florida

Data Scientist I

Gainesville, FL · On-site

$61K/yr

Master's Degree in data science, statistics, bioinformatics, analytics, or similar field ... Google Colab notebooks, Jupyter notebooks, or other resources that may benefit IFAS researchers.

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How much do google bioinformatics jobs pay per year?

As of Jul 13, 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 8% As Needed, 78% Full Time, 10% Part Time, 1% Contract, 2% Nights, and 1% Summer. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution, with an average salary of $94,474 per year, or $45.4 per hour.
Bioinformatics Engineer

Bioinformatics Engineer

Axle

Rockville, MD

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 20 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