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Remote Google Biotech Jobs (NOW HIRING)

Danaher

SIEM Architect - USA Remote

$180K - $200K/yr

... and biotechnology. Are you ready to accelerate your potential and make a real difference? At ... XSIAM, Google SecOps (Chronicle), Elastic, and similar technologies. * Proven experience ...

Danaher

Senior SIEM Engineer - USA Remote

$155K - $175K/yr

... and biotechnology. Are you ready to accelerate your potential and make a real difference? At ... Google SecOps (Chronicle), Humio, Elastic, and similar technologies. * Proven expertise ...

Fullpower Technologies

Data Scientist

Santa Cruz, CA · Remote

$130K - $170K/yr

... and biotechnology fields. Fullpower's B2B PaaS customers are in medical solutions, remote ... Experience with Amazon Web Services (AWS) or Google Cloud * Experience with C++ is a plus ...

Stellalife

Be Seen First

StellaLife Remote Product Specialist Sales *NY MA NC SC NV AZ UT CO...

Charlotte, NC · Remote

$1.0K - $150K/yr

Aaeschliman@StellaLife.com and support@StellaLife.com StellaLife, Inc. is a biotech company on a ... Google Suite, Slack, etc.) * Build on your strong relationships with key clients to generate ...

Stellalife

Be Seen First

StellaLife Remote Product Specialist Sales *NY MA NC SC NV AZ UT CO...

Charlotte, NC · Remote

$1.0K - $150K/yr

Aaeschliman@StellaLife.com and support@StellaLife.com StellaLife, Inc. is a biotech company on a ... Google Suite, Slack, etc.) * Build on your strong relationships with key clients to generate ...

Boutique Recruiting

Customer Success Manager

$70K - $80K/yr

Serve as the primary point of contact for an assigned portfolio of pharmaceutical and biotech ... Proficiency with CRM platforms and Microsoft Office or Google Workspace. Benefits: * Annual ...

Stellalife

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Operations Specialist

Aventura, FL · Remote

$20 - $22/hr

Remote (Continental U.S. Based Only) Hours: Flexible hours; availability for one weekend day is a ... biotech and dental wellness company. Our mission is to improve lives by accelerating healing ...

Stellalife

Be Seen First

Operations Specialist

Aventura, FL · Remote

$20 - $22/hr

Remote (Continental U.S. Based Only) Hours: Flexible hours; availability for one weekend day is a ... biotech and dental wellness company. Our mission is to improve lives by accelerating healing ...

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Remote Google Biotech information

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How much do remote google biotech jobs pay per hour?

As of Aug 5, 2026, the average hourly pay for remote google biotech in the United States is $27.67, according to ZipRecruiter salary data. Most workers in this role earn between $21.63 and $33.17 per hour, depending on experience, location, and employer.

What skills and qualifications are needed to thrive as a Remote Google Biotech professional?

To thrive as a Remote Google Biotech professional, you generally need a strong background in biological sciences, data analysis, and bioinformatics, often supported by a relevant degree (such as biology, biotechnology, or computer science). Familiarity with bioinformatics tools, cloud computing platforms like Google Cloud, and programming languages such as Python or R is typically required. Excellent communication, problem-solving abilities, and self-motivation are crucial soft skills for collaborating remotely and driving innovation. These skills ensure effective research, data-driven decision-making, and seamless teamwork in a distributed biotech environment.

What is a Remote Google Biotech?

Remote Google Biotech jobs are positions within Google's biotechnology divisions or related projects that allow employees to work from locations outside of traditional Google offices. These roles typically involve research, development, or support in areas like genomics, healthcare data, or bioinformatics, leveraging Google's technology and infrastructure. Employees may collaborate on projects such as artificial intelligence in healthcare, drug discovery, or life sciences initiatives, often working with teams distributed globally. These positions require strong technical skills in both biology and technology, and the ability to work effectively in a virtual environment.

How does a Remote Google Biotech professional typically collaborate with cross-functional teams while working remotely?

As a Remote Google Biotech professional, collaboration is largely facilitated through digital platforms like Google Workspace, video conferencing, and project management tools. You’ll regularly coordinate with interdisciplinary teams—such as data scientists, research biologists, and software engineers—by joining virtual meetings, sharing real-time documents, and participating in collaborative brainstorming sessions. Strong communication skills and proactive scheduling are essential to ensure smooth teamwork across time zones. Remote roles at Google also often offer structured onboarding and mentorship to help new hires integrate effectively into their teams.
More about Remote Google Biotech jobs
What cities are hiring for Remote Google Biotech jobs? Cities with the most Remote Google Biotech job openings:
What are the most commonly searched types of Google Biotech jobs? The most popular types of Google Biotech jobs are:
What states have the most Remote Google Biotech jobs? States with the most job openings for Remote Google Biotech jobs include:
What job categories do people searching Remote Google Biotech jobs look for? The top searched job categories for Remote Google Biotech jobs are:
Remote Google Biotech jobs near you
Infographic showing various Remote Google Biotech job openings in the United States as of July 2026, with employment types broken down into 91% Full Time, 1% Part Time, 1% Temporary, and 7% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $57,562 per year, or $27.7 per hour.

DevOps Engineer, Cloud Infrastructure & Scientific Computing (Remote, Americas)

Cartography Biosciences

Remote

$130K - $145K/yr

Full-time

Re-posted 24 days ago

Job description

About Cartography Biosciences
Cartography Biosciences is a therapeutics organization creating the first atlas to identify targets that are specific enough to only engage cancerous cells, broad enough to work across cancer cells and patients, and safe enough to sidestep toxic side effects. Founded by Kevin Parker, Howard Chang, and Ansu Satpathy, Cartography is bridging immunology and computation to understand the critical differences between normal and cancerous cells, ultimately solving the challenge of finding the safest, most selective targets for a variety of immunotherapeutic approaches.
We are looking for a DevOps Engineer to own and evolve the cloud infrastructure that powers our computational biology platforms, internal applications, and data pipelines. You will build and maintain systems spanning workflow orchestration for genomics and structural biology workloads, internal-facing scientific applications, and the security and reliability infrastructure that supports them.
This role sits at the intersection of cloud engineering, scientific computing, and applied software development. You will work closely with computational biology, antibody discovery, and software engineering teams to translate prototype workflows into production systems, ensure uptime and observability for the tools scientists rely on daily, and apply security best practices appropriate for a biotech environment handling sensitive scientific and business data.
This role is 100% remote and can be based in the US, Canada, Mexico, Central America, or South America.
Key Responsibilities
  • Architect, deploy, and maintain cloud infrastructure across Google Cloud Platform (primary) and AWS (secondary), with a focus on cost efficiency, reproducibility, and security across compute, storage, networking, and identity.
  • Manage infrastructure-as-code using Terraform, with full version control via GitHub and CI/CD pipelines that support both scientific compute and internal application deployment.
  • Support and extend our scientific compute infrastructure, including Cromwell, Google Batch, Cloud Run, Cloud Storage, and GPU-accelerated environments for protein design, structural prediction, and machine learning workloads.
  • Maintain uptime, observability, and incident response for internal applications including Slack integrations, web dashboards, and data ingestion services that connect lab and computational workflows.
  • Implement and uphold data security practices appropriate for a biotech environment, including IAM, secrets management, audit logging, network segmentation, and compliance-adjacent controls.
  • Collaborate with computational biologists and software engineers to operationalize new tools and pipelines, translating prototype workflows into reliable production systems.
  • Triage and resolve infrastructure issues across the stack, with clear documentation and post-mortems that improve the system over time.
  • Articulate technical decisions and trade-offs to diverse audiences, including engineering and scientific teams.

Required Qualifications
  • DevOps Engineer: 4+ years of hands-on DevOps, SRE, or cloud infrastructure experience.
  • Strong production experience with Google Cloud Platform (GCE, GKE, GCS, Cloud Run, IAM, Cloud Logging, Batch) and working knowledge of AWS (EC2, S3, IAM, Lambda).
  • Deep proficiency with Terraform, GitHub Actions or equivalent CI/CD systems, and Docker.
  • Proficiency in Python for scripting, automation, and data handling; comfortable in Unix or Linux terminal environments.
  • Practical experience implementing data security controls, including encryption, access policies, secrets management, and audit trails.
  • Demonstrated ability to maintain internal-facing applications and services with high uptime expectations.
  • Excellent written and verbal communication in English, with the ability to document systems clearly for both engineers and scientists.
  • Working hours that include meaningful synchronous overlap with US Pacific Time.

Preferred Qualifications
  • Fluency with AI-augmented development workflows, including practical use of tools such as Claude Code, Cursor, or GitHub Copilot as part of day-to-day infrastructure and scripting work.
  • Experience supporting scientific or research computing environments (genomics, single-cell, structural biology, ML, or HPC).
  • Familiarity with workflow orchestration systems such as Cromwell, Nextflow, WDL, or Airflow.
  • Experience with GPU infrastructure and scheduling of ML or protein design workloads.
  • Background in life sciences infrastructure, including familiarity with Benchling, ELN integrations, or scientific data management systems.
  • Prior experience at an early-stage biotech, scientific software company, or research-driven startup.
  • Familiarity with SOC 2, HIPAA-adjacent, or other regulated-environment security frameworks.

Logistics
  • Fully remote, open to candidates based in the Americas (US, Canada, Mexico, Central America, or South America).
  • You will report directly to the head of computational biology.
  • Compensation calibrated to local market with US benchmarking
  • Direct collaboration with our US-based engineering and computational biology teams in South San Francisco.

The pay range for this role is:
130,000 - 145,000 USD per year (US - DevOps Engineer)

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