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Remote Google Biotech Jobs (NOW HIRING)

BioTech Data Engineer

Saint Louis, MO · On-site

$111K - $133K/yr

Remote The Biotech Data Engineer focuses on designing, building, and maintaining scalable Azure ... Google Analytics, media campaign data, and third-party marketing APIs like Salesforce * Manage and ...

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 ...

... review, quality control, biotechnology, life sciences, or related workflows. • Strong ... Google Sheets, Google Docs, trackers, dashboards, and project management systems. • Experience ...

... review, quality control, biotechnology, life sciences, or related workflows. • Strong ... Google Sheets, Google Docs, trackers, dashboards, and project management systems. • Experience ...

Be Seen First

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 ...

Be Seen First

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 ...

... review, quality control, biotechnology, life sciences, or related workflows. • Strong ... Google Sheets, Google Docs, trackers, dashboards, and project management systems. • Experience ...

... review, quality control, biotechnology, life sciences, or related workflows. • Strong ... Google Sheets, Google Docs, trackers, dashboards, and project management systems. • Experience ...

... review, quality control, biotechnology, life sciences, or related workflows. • Strong ... Google Sheets, Google Docs, trackers, dashboards, and project management systems. • Experience ...

... review, quality control, biotechnology, life sciences, or related workflows. • Strong ... Google Sheets, Google Docs, trackers, dashboards, and project management systems. • Experience ...

... review, quality control, biotechnology, life sciences, or related workflows. • Strong ... Sheets, Google Docs, trackers, dashboards, and project management systems. • Highly detail ...

... review, quality control, biotechnology, life sciences, or related workflows. • Strong ... Google Sheets, Google Docs, trackers, dashboards, and project management systems. • Experience ...

Virtual Assistant

Portland, ME · Remote

$28 - $30/hr

This is a remote position. Summary: We are looking for a highly organized and proactive Virtual ... Advanced proficiency in Microsoft Office Suite (Word, Excel, PowerPoint) and Google Workspace

Senior Accountant

OR · Remote

$73K - $92K/yr

This is a fully remote position, offering the opportunity to work from anywhere within the United ... Experience in biotechnology, life sciences, healthcare, or pharmaceutical industries strongly ...

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Remote Google Biotech information

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$15

$27

$37

How much do remote google biotech jobs pay per hour?

As of Jun 24, 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 are the key skills and qualifications needed to thrive as a Remote Google Biotech professional, and why are they important?

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 are Remote Google Biotech jobs?

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:

BioTech Data Engineer

Stellar IT Group

Saint Louis, MO • On-site

$111K - $133K/yr

Full-time

Posted 22 days ago


Job description

Overview:
Job Title: Biotech Data Engineer
Job Type: FTE
Work Mode: Remote
The Biotech Data Engineer focuses on designing, building, and maintaining scalable Azure Databricks-based data pipelines and architectures that enable analytics, AI/ML, and reporting across commercial functions. It involves leading data engineering initiatives, ensuring governance and compliance, optimizing performance and costs, and collaborating across teams to advance the company's data and AI strategy. The role reports to the Director of Business Intelligence.
Roles & Responsibilities
  • Design, build, and maintain scalable, reliable, and cost-efficient data pipelines using Azure Databricks in support of analytics, machine learning, data science, and operational use cases
  • Lead data engineering initiatives that enable AI/ML model development, LLM integrations, and AI-driven applications while ensuring scalability and alignment with enterprise and business priorities
  • Architect and implement data integration frameworks across diverse Adtech and Martech ecosystems, incorporating Google Analytics, media campaign data, and third-party marketing APIs like Salesforce
  • Manage and optimize data ingestion, transformation, and storage processes using SQL, Python, and PySpark to integrate structured and unstructured data sources
  • Design and maintain API integrations with internal and external systems, including Python- and PySpark-based services and AI/LLM-powered APIs for advanced analytics and automation
  • Administer and maintain Azure-based data tools and platforms (e.g., Databricks, ADF) to ensure operational excellence, reliability, and security
  • Collaborate with internal stakeholders and external partners to evolve data platform design and architecture that supports advanced analytics, personalization, marketing intelligence, and marketing automation
  • Execute against the company's data and AI strategy by translating strategic goals into technical architecture, design and requirement documents, and implementation roadmaps
  • Ensure data quality, integrity, and consistency through robust validation, monitoring, and alerting mechanisms within Azure Databricks
  • Implement and enforce data governance, security, and compliance standards in collaboration with IT, InfoSec, and data governance teams
  • Partner with analytics, marketing, commercial operations, and core technology/cybersecurity teams to deliver fit-for-purpose commercial data products
  • Monitor and optimize data infrastructure costs, performance, and scalability across Azure cloud environments
  • Develop and maintain architecture documentation, pipeline specifications, and design diagrams for transparency and knowledge sharing with technical and business stakeholders
  • Participate in architecture discussions, design reviews, and CI/CD workflows to ensure high-quality engineering and deployment practices as part of an Agile engineering team
  • Continuously evaluate and recommend new Azure services, designs, improvements, frameworks, and AI integration tools to enhance our data platform
  • Drive automation, observability, and standardization across data workflows to improve efficiency and reduce manual intervention
  • Complete all job duties in compliance with company policy, SOPs, safety rules, and applicable federal, state, and local regulations

Education & Licenses And Experience
Bachelor of science degree required. A minimum of 5 years transferable working experience in the area of operational support of a Data Engineering, Data Architecture, or Cloud Platforms function preferred. The ideal candidate will have recent and relevant experience in the pharma or biotech industry.
Required Competencies & Skills
  • Experience with Azure Cloud (Databricks, DevOps, DataFactory)
  • Pharma / biotech domain experience, specifically within the commercial data space (sales, market access / payer, marketing)
  • Strong hands-on python, pyspark, and SQL skills
  • Direct experience with building and leveraging API integrations in ETL pipeline development
  • Experience integrating with current best-in-class AI models and APIs like OpenAI API, Databricks AI models, etc.
  • Self-driven with ability to independently design end-to-end data pipelines while ensuring architectural best practices
  • Ability to collaborate with a broad set of stakeholders to evaluate the business need and construct a technical design that can enable stakeholder priorities
  • Travel up to 20%

Preferred Competencies & Skills
  • Strong knowledge of and experience with maximizing business value using Databricks Unity Catalog or Databricks One capabilities
  • Familiarity with tools and practices in the Martech and Adtech landscape
  • Knowledge of Consumer, Patient, or HCP data ecosystems
  • Experience with identity providers like LiveRamp, Acxiom, Experian, etc.
  • Experience with custom-built or third-party Customer Data Platforms (CDP)
  • Experience with marketing automation tools

Skills:
Data Engineering