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Google Bioinformatics Jobs in Virginia (NOW HIRING)

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$59K

$93.7K

$148.2K

How much do google bioinformatics jobs pay per year?

As of Sep 5, 2026, the average yearly pay for google bioinformatics in Virginia is $93,664.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,900.00 and $128,400.00 per year, depending on experience, location, and employer.

What is a Google Bioinformatics?

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.

What are popular job titles related to Google Bioinformatics jobs in Virginia?

For Google Bioinformatics jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Google Bioinformatics jobs in Virginia look for?

The top searched job categories for Google Bioinformatics jobs in Virginia are:

Google Bioinformatics jobs near you
Infographic showing various Google Bioinformatics job openings in Virginia as of August 2026, with employment types broken down into 79% Full Time, 17% Part Time, and 4% Contract. Highlights an 68% Physical, 4% Hybrid, and 28% Remote job distribution, with an average salary of $93,664 per year, or $45 per hour.

Senior Backend Engineer (Agentic Data Platform)

Namely

Portsmouth, VA • On-site

$140 - $190/hr

Other

Posted 17 days ago

Key responsibilities

  • Build and improve distributed backend systems for the genomics platform.

  • Develop and optimize data processing pipelines over large genomic and health datasets using Apache Spark and DuckDB.

  • Design data structures, storage, and indexing strategies across PostgreSQL, Qdrant, and Redis to ensure performance at scale.

Job description

The opportunity

As a Senior Backend Engineer, you'll build and improve the distributed backend systems behind our genomics platform. At its core, this platform is a high-throughput data processing and retrieval system with an AI-powered natural language interface - you'll work with our AI Backend Architect on the services and pipelines that make genetics-based guidance fast, accurate, and reliable. When you do this well, people can have meaningful conversations with their DNA and receive trustworthy guidance that evolves alongside advances in science and AI.

This is a backend and data engineering role. It is not an LLM-integration role, and it is not about adding AI tooling to a product.

What you'll own
  • Develop and maintain high-performance and fault-tolerant distributed backend services.
  • Build and optimize data processing pipelines over large genomic and health datasets using Apache Spark and DuckDB.
  • Design data structures, storage and indexing strategies across PostgreSQL, Qdrant, and Redis for performance at scale.
  • Own async event processing and workflow orchestration using AWS SQS, RabbitMQ, and BullMQ.
  • Drive latency, throughput, and reliability through parallel execution, caching, and efficient data access.
  • Build guardrail and quality assurance layers that keep AI responses anchored in real genomic and scientific evidence.
  • Partner with bioinformatics experts to ensure outputs match the science, and with product/design specialists on user-facing behavior.
Who you are
  • 5+ years building and operating production backend systems at scale.
  • Expert-level in TypeScript, comfortable owning production services end to end.
  • Strong distributed-systems fundamentals - you understand how they're designed and why they fail.
  • Hands-on with large-scale data processing frameworks (Apache Spark or equivalent) and very large datasets.
  • Deeply familiar with both OLTP and OLAP data systems (PostgreSQL, DuckDB)
  • Solid with distributed event-driven systems.
  • Able to step into an unfamiliar domain like genomics, learn the mechanics fast, and go deep.
  • Craft-driven: you build systems properly with attention to detail and high bar for quality rather than assembling pre-made pieces.
  • This is a fully remote role open to candidates in time zones from UTC−5 to UTC+3.
Bonus to have
  • Rust, and functional programming experience (Scala or similar).
  • Python for data processing.
  • Experience training or fine-tuning your own AI models - not just calling APIs.
  • Experience with multi-agent AI systems and orchestration (planner / router / evaluator patterns).
  • Production experience with LLM APIs (Anthropic, OpenAI, Bedrock, Google AI)
  • Production experience with vector databases and RAG pipelines.
  • LLM observability tooling (Langfuse, LangSmith).
  • Workflow engines (Temporal).
  • Familiarity with genomics, bioinformatics, or health data systems.
  • High-growth startup experience.
Why this role matters

AI is transforming how people access information. Genomics is transforming how people understand themselves.

This role sits at the convergence of both.

You’ll help build the AI systems that enable people to interact with their DNA and receive personalized guidance throughout their lives. The systems you build will help millions of people better understand their health, identify risks earlier, make more informed decisions, and benefit from advances in science that would otherwise remain inaccessible.

This is an opportunity to help create a category-defining, generational product and shape how humanity interacts with its DNA for decades to come.

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