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Google Bioinformatics Jobs in California (NOW HIRING)

360 IT Professionals

Python Developer

Santa Cruz, CA

$58 - $80/hr

Some familiarity of current bioinformatics tools, compression algorithms, and data types ... Experience with cloud computing services such as Amazon Web Services, Google Cloud Programming ...

All JobsGoogle Bioinformatics JobsGoogle Bioinformatics Jobs in California

Google Bioinformatics information

See California salary details

$58.7K

$93.2K

$147.5K

How much do google bioinformatics jobs pay per year?

As of Aug 30, 2026, the average yearly pay for google bioinformatics in California is $93,237.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,600.00 and $127,800.00 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 California?

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

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

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

What cities in California are hiring for Google Bioinformatics jobs?

Cities in California with the most Google Bioinformatics job openings:

Google Bioinformatics jobs near you
Infographic showing various Google Bioinformatics job openings in California as of August 2026, with employment types broken down into 89% Full Time, 7% Part Time, and 4% Contract. Highlights an 68% Physical, 4% Hybrid, and 28% Remote job distribution, with an average salary of $93,237 per year, or $44.8 per hour.

Urgent Hiring - Bioinformatics Pipeline Test Engineer

Shiv Software Experts LLC

San Diego, CA • On-site

Other

Posted 5 days ago

Job description

Job Title:

Bioinformatics Pipeline Test Engineer 

Domanin 

(Healthcare Domain)

Location 
San Diego CA - Local to CA or who can relocate 

Location 

2+ Years of exp 

Rate
Open 

Hire Type (FTE/Contract):

6 Months

Must Have 

  • Bioinformatics OR Genomics

  • NGS OR "Next Generation Sequencing"

  • VCF OR BAM OR FASTQ

  • Python

  • Testing OR QA OR "Quality Engineer" OR Validation

  • Git

Job Descriptio

Role Overview

We are seeking a Bioinformatics Test Engineer to validate and ensure the quality of NGS data pipelines and bioinformatics workflows. The role requires a strong blend of bioinformatics knowledge, QA expertise, and automation skills.

Key Responsibilities

• Design and execute testing strategies for NGS pipelines (alignment, variant calling, annotation)

• Perform data validation, regression testing, and discrepancy analysis

• Develop automated test scripts (Python)

• Translate requirements into test cases and validation criteria

• Work with CI/CD pipelines and cloud-based workflows

• Collaborate with cross-functional teams to ensure data accuracy and reliability

Required Skills

• Strong understanding of NGS workflows (FASTQ, BAM, VCF)

• Experience in bioinformatics pipeline testing or QA

• Proficiency in Python scripting

• Hands-on with Git and CI/CD tools

• Experience with cloud platforms (AWS/Google Cloud Platform/Azure) and data pipelines

• Strong problem-solving and communication skills

Preferred

• Experience in biotech/life sciences domain

• Familiarity with Nextflow, Snakemake, or similar workflows

• Exposure to regulated environments (CLIA/FDA)

What We’re Looking For

• Strong testing mindset + hands-on engineering skills

• Ability to debug pipelines and explain thought process clearly

• Experience with real-world data workflows (not just academic projects)

• Mentions NGS pipelines + testing together

• Has Python + Git + CI/CD

• Mentions variant calling / VCF validation

• Worked on cloud or production pipelines

Reject or deprioritize if:

• Only academic bioinformatics (no testing/QA)

• Only statistics validation (no system testing)

• No Python or automation

• No infra experience (cloud / CI/CD / DB)

• Only local scripts, no real pipelines

Other High Priority Keywords

  • Variant Calling

  • Pipeline Testing

  • Regression Testing

  • Test Strategy OR Test Case Design

  • Data Validation

  • Golden Dataset OR Reference Dataset

  • CI/CD OR "GitHub Actions" OR GitLab OR "Azure DevOps"

  • AWS OR S3 OR Cloud

  • Nextflow OR Snakemake OR WDL OR Cromwell

  • Automation Testing

 

Apply